8,603 results
Search Results
2. Topic Discovery in Scientific Literature
- Author
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Huang, Yujian, Liu, Qiang, Liu, Jia, Hu, Yanmei, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sun, Yuqing, editor, Lu, Tun, editor, Guo, Yinzhang, editor, Song, Xiaoxia, editor, Fan, Hongfei, editor, Liu, Dongning, editor, Gao, Liping, editor, and Du, Bowen, editor
- Published
- 2023
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3. A Single Criteria Ranking Technique for Schools Based on Results of Common Examination Using Clustering and Congenital Weights
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Rout, Dillip, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Garg, Deepak, editor, Wong, Kit, editor, Sarangapani, Jagannathan, editor, and Gupta, Suneet Kumar, editor
- Published
- 2021
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4. A Trust Model for Evaluating Trust and Centrality Based on Entropy Weight Method in Social Commerce
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Gong, Yonghua, Chen, Lei, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Tian, Yuan, editor, Ma, Tinghuai, editor, and Khan, Muhammad Khurram, editor
- Published
- 2020
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5. Detecting Influencial Users in Social Networks: Analysing Graph-Based and Linguistic Perspectives
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Deturck, Kévin, Patel, Namrata, Avouac, Pierre-Alain, Lopez, Cédric, Nouvel, Damien, Partalas, Ioannis, Segond, Frédérique, Rannenberg, Kai, Editor-in-Chief, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Pras, Aiko, Editorial Board Member, Sakarovitch, Jacques, Editorial Board Member, Furbach, Ulrich, Editorial Board Member, Mercier-Laurent, Eunika, editor, and Boulanger, Danielle, editor
- Published
- 2019
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6. Mutual Information –The Biomarker of Essential Gene Predictions in Gene-Gene-Interaction of Lung Cancer
- Author
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Payra, Anjan Kumar, Ghosh, Anupam, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Mandal, Jyotsna Kumar, editor, Mukhopadhyay, Somnath, editor, Dutta, Paramartha, editor, and Dasgupta, Kousik, editor
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- 2019
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7. Social Network Analysis of China Computer Federation Co-author Network
- Author
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Fu, Chengzhou, Zeng, Weiquan, Ding, Rui, Mao, Chengjie, He, Chaobo, Chen, Guohua, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Zu, Qiaohong, editor, and Hu, Bo, editor
- Published
- 2018
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8. Anisotropic Radial Layout for Visualizing Centrality and Structure in Graphs
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Raj, Mukund, Whitaker, Ross T., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Frati, Fabrizio, editor, and Ma, Kwan-Liu, editor
- Published
- 2018
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9. Paper acceptance prediction at the institutional level based on the combination of individual and network features
- Author
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Jun Zhang, Bing Wang, Peng Chen, Fang Zhou, and Wenyan Wang
- Subjects
Measure (data warehouse) ,Work (electrical) ,Ranking ,Computer science ,Acceptance rate ,General Social Sciences ,Paper quality ,Library and Information Sciences ,Centrality ,Data science ,Institutional level ,Computer Science Applications ,Random forest - Abstract
Papers published in top conferences or journals is an important measure of the innovation ability of institutions, and ranking paper acceptance rate can be helpful for evaluating affiliation potential in academic research. Most studies only focus on the paper quality itself, and apply simple statistical data to estimate the contribution of institutions. In this work, a novel method is proposed by combining different types of features of affiliation and author to predict the paper acceptance at the institutional level. Based on the history of the paper published, this work firstly calculates the affiliation scores, constructs an institutional collaboration network and analyzes the importance of the institutions using network centrality measures. Four measures about the authors’ influence and capability are then extracted to take the contributions of authors into consideration. Finally, a random forest algorithm is adopted to solve the prediction problem of paper acceptance. As a result, this paper improves the ranking of the paper acceptance rate NDCG@20 to 0.865, which is superior to other state-of-the-art approaches. The experimental results show the effectiveness of proposed method, and the information between different types of features can be complementary for predicting paper acceptance rate.
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- 2021
10. Identification of 'Die Hard' Nodes in Complex Networks: A Resilience Approach
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Lombardi, Angela, Tangaro, Sabina, Bellotti, Roberto, Cardellicchio, Angelo, Guaragnella, Cataldo, Barbosa, Simone Diniz Junqueira, Series Editor, Chen, Phoebe, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Pelillo, Marcello, editor, Poli, Irene, editor, Roli, Andrea, editor, Serra, Roberto, editor, Slanzi, Debora, editor, and Villani, Marco, editor
- Published
- 2018
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11. On social networks of program committees: Structure and effect on paper acceptance fairness
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Avin, Chen, Lotker, Zvi, Peleg, David, and Turkel, Itzik
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- 2016
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12. Co-word mapping of Image Retrieval based on Web of Science-Indexed Papers
- Author
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Samira Daniali, Nader Naghshineh, and Gholamreza Fadai
- Subjects
Image retrieval ,Knowledge map ,Sigma ,Burst ,Centrality ,Bibliography. Library science. Information resources - Abstract
Background and aim: Given the special status and wide usage of image retrieval in various fields, the present investigation studied on the research trends and significant factors within the field of image retrieval and drawing the co-word map based on the articles indexed in Web of Science. Material and methods: This scientometric study was performed using bibliometric techniques such as co-citation analysis. Samples of the current study were all articles indexed in ISI in the field of image retrieval from 2001 to 2012. Therefore, 2537 papers were retrieved in this field. Citespace and VOSviewer were applied for co-word analysis. Findings: The highest centrality with the number of 0.18 has been related to the term "image retrieval". "Content based image retrieval" and "relevance feedback" both with 0.15 centrality have been in the next rank. The Highest burst with the number of 11.59 was belonged to "pattern recognition society". "Content-based image retrieval", "image database" with the number of 7.53 and 5.79 burst have won the second and third ranks, respectively. Sigma was obtained 1.39 for the "shape" and 1 for other terms during this period. Also, the analysis of co-word network in VOSviewer indicated 9 scientific clusters in the field of image retrieval. Conclusion: The analysis of co-word network in the field of image retrieval have shown that the content-based image retrieval is one of the most important approaches in the field of image retrieval in the past years.
- Published
- 2018
13. Co-word mapping of Image Retrieval based on Web of Science-Indexed Papers
- Author
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Samira Daniali, Nader Naghshineh, and Gholamreza Fadai
- Subjects
image retrieval ,knowledge map ,sigma ,burst ,centrality ,Bibliography. Library science. Information resources - Abstract
Background and aim: Given the special status and wide usage of image retrieval in various fields, the present investigation studied on the research trends and significant factors within the field of image retrieval and drawing the co-word map based on the articles indexed in Web of Science. Material and methods: This scientometric study was performed using bibliometric techniques such as co-citation analysis. Samples of the current study were all articles indexed in ISI in the field of image retrieval from 2001 to 2012. Therefore, 2537 papers were retrieved in this field. Citespace and VOSviewer were applied for co-word analysis. Findings: The highest centrality with the number of 0.18 has been related to the term "image retrieval". "Content based image retrieval" and "relevance feedback" both with 0.15 centrality have been in the next rank. The Highest burst with the number of 11.59 was belonged to "pattern recognition society". "Content-based image retrieval", "image database" with the number of 7.53 and 5.79 burst have won the second and third ranks, respectively. Sigma was obtained 1.39 for the "shape" and 1 for other terms during this period. Also, the analysis of co-word network in VOSviewer indicated 9 scientific clusters in the field of image retrieval. Conclusion: The analysis of co-word network in the field of image retrieval have shown that the content-based image retrieval is one of the most important approaches in the field of image retrieval in the past years.
- Published
- 2017
14. A Centrality-Based ACK Forwarding Mechanism for Efficient Routing in Infrastructureless Opportunistic Networks
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Dhurandher, Sanjay K., Woungang, Isaac, Rajendra, Anshu, Ghai, Piyush, Chatzimisios, Periklis, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Mandler, Benny, editor, Marquez-Barja, Johann, editor, Mitre Campista, Miguel Elias, editor, Cagáňová, Dagmar, editor, Chaouchi, Hakima, editor, Zeadally, Sherali, editor, Badra, Mohamad, editor, Giordano, Stefano, editor, Fazio, Maria, editor, Somov, Andrey, editor, and Vieriu, Radu-Laurentiu, editor
- Published
- 2016
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15. Identifying Prominent Individuals or Groups in Terrorist Network Using Social Network Analysis and Investigative Data Mining
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Rishiwal, Vinay, Kumar, Gaurav, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Chen, Phoebe, Editorial Board Member, Du, Xiaoyong, Editorial Board Member, Kara, Orhun, Editorial Board Member, Liu, Ting, Editorial Board Member, Sivalingam, Krishna M., Editorial Board Member, Washio, Takashi, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Unal, Aynur, editor, Nayak, Malaya, editor, Mishra, Durgesh Kumar, editor, Singh, Dharm, editor, and Joshi, Amit, editor
- Published
- 2016
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16. La rivisitazione del concetto di pulsione dalle neuroscienze affettive (Panksepp) alla neuropsicoanalisi (Solms): commento all'articolo di Mark Solms.
- Author
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Clarici, Andrea
- Subjects
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STRUCTURAL models , *PSYCHOANALYSIS , *EMOTIONS , *CENTRALITY , *MOTIVATION (Psychology) - Abstract
Mark Solms' revision of the concept of drive represents the latest in a series of his indepth reviews of the most fundamental Freudian concepts. The movement of neuropsychoanalysis begun in 2000 with the first Congress focused precisely on a neuroscientific definition of affects and emotions. In 2013, Solms proposed a substantial and profound modification of Freud's structural model, motivating his theses which argue that the instinctual id can only be conscious. In the current paper, Solms (2021a) reaffirms and re-evaluates the centrality of drive theory in psychoanalysis and neuroscience as a starting point for understanding conscious and unconscious phenomena, in normality as well in pathology. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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17. Between Centrality and Theoretical Dispersion: Theoretical Frameworks in Spanish Peer-Reviewed Communication Journals. Analysis of Research Papers Published by Five Top-Ranked Journals 2011- 2020.
- Author
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Carrasco-Campos, Ángel and Saperas, Enric
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LITERATURE reviews , *ONLINE journalism , *DIGITAL communications , *CENTRALITY , *PUBLIC relations , *JOURNALISM - Abstract
This paper describes the research published during the period 2011-2020 by five leading Spanish peer-reviewed journals of communication, aiming to identify the most common theoretical frameworks and standard theories. A statistically representative sample of the articles published during that period was systematically selected from the five journals of communication ranked as having the greatest continuity and impact according to SJR-Scopus: Profesional de la Información, Comunicar, Communication & Society, Estudios sobre el Mensaje Periodístico and Revista Latina de Comunicación Social. A coding protocol that includes 13 variables and 74 categories was defined and applied to compare the type of theoretical frameworks and the theories in the different subject areas observed. The results show that although almost all the papers studied have a theoretical framework, fewer than half are grounded on recognizable theories. Specifically, journalism and digital communication are the two subject areas whose articles frequently include standard theories: in journalism by the support of classical theories of communication (framing, agenda setting, journalistic professional cultures and roles), and in digital communication by the support of more theoretically dispersed frameworks. Theoretical frameworks developed by literature review are common in other subject areas (such as audiovisual studies, public relations and documentation). [ABSTRACT FROM AUTHOR]
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- 2022
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18. A Hybrid Approach Toward Research Paper Recommendation Using Centrality Measures and Author Ranking
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Basit Raza, Ahmad Kamran Malik, Muhammad Imran, Hasan Ali Khattak, and Waleed Waheed
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Structure (mathematical logic) ,Information retrieval ,research paper recommendation systems ,General Computer Science ,Computer science ,media_common.quotation_subject ,General Engineering ,Recommender system ,Citation networks ,Ranking (information retrieval) ,Citation analysis ,collaboration networks ,Collaborative filtering ,General Materials Science ,Quality (business) ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,recommender systems ,Centrality ,Citation ,lcsh:TK1-9971 ,media_common - Abstract
The volume of research articles in digital repositories is increasing. This spectacular growth of repositories makes it rather difficult for researchers to obtain related research papers in response to their queries. The problem becomes worse when a researcher with insufficient knowledge of searching research articles uses these repositories. In the traditional recommendation approaches, the results of the query miss many high-quality papers, in the related work section, which are either published recently or have low citation count. To overcome this problem, there needs to be a solution which considers not only structural relationships between the papers but also inspects the quality of authors publishing those articles. Many research paper recommendation approaches have been implemented which includes collaborative filtering-based, content-based, and citation analysis-based techniques. The collaborative filtering-based approaches primarily use paper-citation matrix for recommendations, whereas the content-based approaches only consider the content of the paper. The citation analysis considers the structure of the network and focuses on papers citing or cited by the paper of interest. It is therefore very difficult for a recommender system to recommend high-quality papers without a hybrid approach that incorporates multiple features, such as citation information and author information. The proposed method creates a multilevel citation and relationship network of authors in which the citation network uses the structural relationship between the papers to extract significant papers, and authors' collaboration network finds key authors from those papers. The papers selected by this hybrid approach are then recommended to the user. The results have shown that our proposed method performs exceedingly well as compared with the state-of-the-art existing systems, such as Google scholar and multilevel simultaneous citation network.
- Published
- 2019
19. Energy Consumption Optimization Using Social Interaction in the Mobile Cloud
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Papanikolaou, Katerina, Mavromoustakis, Constandinos X., Mastorakis, George, Bourdena, Athina, Dobre, Ciprian, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin (Sherman), Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert, Series editor, Agüero, Ramón, editor, Zinner, Thomas, editor, Goleva, Rossitza, editor, Timm-Giel, Andreas, editor, and Tran-Gia, Phuoc, editor
- Published
- 2015
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20. Disambiguation of Named Entities in Cultural Heritage Texts Using Linked Data Sets
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Brando, Carmen, Frontini, Francesca, Ganascia, Jean-Gabriel, Liu, Ting, Series editor, Morzy, Tadeusz, editor, Valduriez, Patrick, editor, and Bellatreche, Ladjel, editor
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- 2015
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21. How to make you more central? The role of guanxi and interaction
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Yang, Naiding, Wang, Yan, Zhang, Mingzhen, and Xie, Chunxiao
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- 2024
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22. Environmental turbulence, network position and firm innovation: evidence from a natural experiment in China
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Jiang, Yusi, Li, Chuanjia, and Zhao, Yapu
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- 2024
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23. Digital trading networks and competitive advantage in a buyer-seller network
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Straub, Detmar, Warkentin, Merrill, Rai, Arun, and Ding, Yi
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- 2024
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24. The boundary-spanning mechanisms of Nobel Prize winning papers.
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Sebastian, Yakub and Chen, Chaomei
- Subjects
NOBEL Prizes ,ECONOMIC indicators ,CENTRALITY - Abstract
The breakthrough potentials of research papers can be explained by their boundary-spanning qualities. Here, for the first time, we apply the structural variation analysis (SVA) model and its affiliated metrics to investigate the extent to which such qualities characterize a group of Nobel Prize winning papers. We find that these papers share remarkable boundary-spanning traits, marked by exceptional abilities to connect disparate and topically-diverse clusters of research papers. Further, their publications exert structural variations on a scale that significantly alters the betweenness centrality distributions in existing intellectual space. Overall, SVA not only provides a set of leading indicators for describing future Nobel Prize winning papers, but also broadens our understanding of similar prize-winning properties that may have been overlooked among other regular publications. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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25. Network of public equity funds and investment performance in South Korea
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Kim, Yongwon, Song, Inwook, and Park, Young Kyu
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- 2024
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26. The global foreign direct investment network: evolution and influencing factors
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Li, Bing, Shi, Zhihui, and Guo, Wei
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- 2024
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27. Modelling Critical Node Attacks in MANETs
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Zhang, Dongsheng, Sterbenz, James P. G., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Elmenreich, Wilfried, editor, Dressler, Falko, editor, and Loreto, Vittorio, editor
- Published
- 2014
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28. Community Detection in Protein-Protein Interaction Networks Using Spectral and Graph Approaches
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Mahmoud, Hassan, Masulli, Francesco, Rovetta, Stefano, Russo, Giuseppe, Istrail, Sorin, Series editor, Pevzner, Pavel, Series editor, Waterman, Michael, Series editor, Formenti, Enrico, editor, Tagliaferri, Roberto, editor, and Wit, Ernst, editor
- Published
- 2014
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29. Syntactic complexity in learner-generated research paper introductions: Rhetorical functions and level of move/step realization
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Zeynep Bilki, Lia Plakans, and Aysel Saricaoglu
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Linguistics and Language ,Computer science ,media_common.quotation_subject ,Realization (linguistics) ,computer.software_genre ,Language and Linguistics ,Education ,Rhetorical functions ,symbols.namesake ,Multivariate analysis of variance ,Rhetorical question ,Move/step realization ,Function (engineering) ,Value (semiotics) ,Research paper introductions ,media_common ,business.industry ,Syntactic complexity ,Pearson product-moment correlation coefficient ,symbols ,Artificial intelligence ,business ,Centrality ,computer ,Natural language processing - Abstract
This study explored the relationship between syntactic complexity and rhetorical functions and the relationship between syntactic complexity and level of move/step realization in learner-generated research paper introductions. We created a corpus of 79 introductions written by undergraduate L2 students at intermediate to high-intermediate levels. We annotated the introductions for moves and steps, measured their syntactic complexity at the global, clausal, and phrasal levels, and rated their level of move/step realization across four levels (no, low, intermediate, and high). We conducted one-way MANOVA, one-way ANOVA, Pearson correlation, and stepwise multiple linear regression analyses. We found sentences realizing Reviewing items of previous research function to be significantly longer than other steps in Move1 and to contain significantly more clausal and phrasal complexity features. Sentences performing Claiming centrality function also demonstrated significantly more phrasal complexity features as measured by complex nominals per clause. We also found a higher level of phrasal complexity in introductions with a higher level of move/step realization, which can be attributed to introductions including Step1 and Step3, rather than containing all steps. Our findings imply that there is value in developing explicit instructions on how to use complex structures in performing rhetorical steps in research paper introductions. © 2021 Elsevier Ltd
- Published
- 2021
30. Identifying 'seed' papers in sciences
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Jean J. Wang, Sarah X. Shao, and Fred Y. Ye
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Information retrieval ,Web of science ,05 social sciences ,General Social Sciences ,Network structure ,Library and Information Sciences ,050905 science studies ,Computer Science Applications ,Set (abstract data type) ,Genome editing ,0509 other social sciences ,050904 information & library sciences ,Centrality ,Core function ,Network analysis - Abstract
A concise quantitative method is established for identifying ‘seed’ papers in sciences. The method is set up following h-type metrics based on co-citation network analysis. With defining original-seed (O-Seed) and dominant-seed (D-Seed) by measurable h-strength and second-order h-type degree centrality, O-seed resembles to be a ‘root’ and D-seed develops to become ‘stem’. Using dataset from Web of Science (WoS), the ‘seed’ papers in research fields of graphene, genome editing, and h-set studies are identified. Graphene D-Seed paper and genome editing D-Seed paper are representative outputs of the 2010 Nobel Prize in Physics and the 2020 Nobel Prize in Chemistry respectively. H-set O-Seed and D-Seed are the same paper that first proposed the concept of h-index. The ‘seed’ papers are characterized by not only high citations, but also network structure and core function in sciences.
- Published
- 2021
31. Identifying Dominant Economic Sectors and Stock Markets: A Social Network Mining Approach
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Roy, Ram Babu, Sarkar, Uttam Kumar, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Li, Jiuyong, editor, Cao, Longbing, editor, Wang, Can, editor, Tan, Kay Chen, editor, Liu, Bo, editor, Pei, Jian, editor, and Tseng, Vincent S., editor
- Published
- 2013
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32. Social Network Analysis and Its Applications in Wireless Sensor and Vehicular Networks
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Papadimitriou, Alexis, Katsaros, Dimitrios, Manolopoulos, Yannis, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin (Sherman), Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert, Series editor, Coulson, Geoffrey, Series editor, Sideridis, Alexander B., editor, and Patrikakis, Charalampos Z., editor
- Published
- 2010
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33. Study of co-authorship network of papers in the Journal of Research in Medical Sciences using social network analysis
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Firoozeh Zare-Farashbandi, Ehsan Geraei, and Saba Siamaki
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Centrality ,density ,Journal of Research in Medical Sciences ,mean distance ,social network analysis ,Medicine - Abstract
Background: Co-authorship is one of the most tangible forms of research collaboration. A co-authorship network is a social network in which the authors through participation in one or more publication through an indirect path have linked to each other. The present research using the social network analysis studied co-authorship network of 681 articles published in Journal of Research in Medical Sciences (JRMS) during 2008-2012. Materials and Methods: The study was carried out with the scientometrics approach and using co-authorship network analysis of authors. The topology of the co-authorship network of 681 published articles in JRMS between 2008 and 2012 was analyzed using macro-level metrics indicators of network analysis such as density, clustering coefficient, components and mean distance. In addition, in order to evaluate the performance of each authors and countries in the network, the micro-level indicators such as degree centrality, closeness centrality and betweenness centrality as well as productivity index were used. The UCINET and NetDraw softwares were used to draw and analyze the co-authorship network of the papers. Results: The assessment of the authors productivity in this journal showed that the first ranks were belonged to only five authors, respectively. Furthermore, analysis of the co-authorship of the authors in the network demonstrated that in the betweenness centrality index, three authors of them had the good position in the network. They can be considered as the network leaders able to control the flow of information in the network compared with the other members based on the shortest paths. On the other hand, the key role of the network according to the productivity and centrality indexes was belonged to Iran, Malaysia and United States of America. Conclusion: Co-authorship network of JRMS has the characteristics of a small world network. In addition, the theory of 6° separation is valid in this network was also true.
- Published
- 2014
34. The synergistic effect of the industrial international competitiveness and coopetition network position on market share: evidence from global automobile industry
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Guan, Feiyang, Wang, Tienan, and Sun, Linbing
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- 2023
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35. Reconstructing History of Social Network Evolution Using Web Search Engines
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Akaishi, Jin, Sayama, Hiroki, Dionne, Shelley D., Chen, Xiujian, Gupta, Alka, Hao, Chanyu, Serban, Andra, Bush, Benjamin James, Head, Hadassah J., Yammarino, Francis J., Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin (Sherman), Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert, Series editor, Coulson, Geoffrey, Series editor, Suzuki, Junichi, editor, and Nakano, Tadashi, editor
- Published
- 2012
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36. On using centrality to understand importance of entities in the Panama Papers.
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Kejriwal, Mayank
- Subjects
- *
SOCIAL networks , *EXECUTIVES , *CENTRALITY , *TAX havens , *LAW firms - Abstract
The Panama Papers comprise one of the most recent influential leaks containing detailed information on intermediary companies (such as law firms), offshore entities and company officers, and serve as a valuable source of insight into the operations of (approximately) 214,000 shell companies incorporated in tax havens around the globe over the past half century. Entities and relations in the papers can be used to construct a network that permits, in principle, a systematic and scientific study at scale using techniques developed in the computational social science and network science communities. In this paper, we propose such a study by attempting to quantify and profile the importance of entities. In particular, our research explores whether intermediaries are significantly more influential than offshore entities, and whether different centrality measures lead to varying, or even incompatible, conclusions. Some findings yield conclusions that resemble Simpson's paradox. We also explore the role that jurisdictions play in determining entity importance. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
37. Author-related factors predicting citation counts of conference papers: focusing on computer and information science
- Author
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Danielle H. Lee
- Subjects
Related factors ,Bibliometric analysis ,business.industry ,05 social sciences ,Information and Computer Science ,Library science ,Library and Information Sciences ,050905 science studies ,Computer Science Applications ,Publishing ,Citation analysis ,Predictive power ,0509 other social sciences ,050904 information & library sciences ,Psychology ,Centrality ,business ,Citation - Abstract
Purpose This paper aims to assess the predictive power of authorship properties determined at the time of publishing conference papers on future citations of conference papers in computer and information science. Design/methodology/approach This study examined 21 factors – related to all authors and to the first author – as potentially predictive of citation counts. Specifically, the study assessed properties of author's academic performance, degree of collaboration and topological properties of their research collaboration networks. Findings The results of comparing all authors with first authors indicate that the all author-related factors have a significantly higher power for explaining conference paper citation counts than the first author-related factors. Moreover, among the all author-related factors, the degree centrality before the target paper made the largest contribution. Originality/value This is one of the first attempts to focus on the relationship of author characteristics to conference papers. This is also one of only a few studies to expand prior research, which limited its bibliometric foci to journal articles, to conference papers.
- Published
- 2020
38. The Influence of Small World and Centrality on the Paper Achievement of Government-Funded Research Institutes
- Author
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Hyekyung Lee, Jeongheum Kim, and Somin Kim
- Subjects
Government ,Political science ,Public administration ,Centrality ,Social network analysis - Published
- 2021
39. Cultural tourism market: a perspective paper
- Author
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Bob McKercher
- Subjects
Casual ,Homogeneous ,Tourism, Leisure and Hospitality Management ,Geography, Planning and Development ,Perspective (graphical) ,Marketing communication ,Sociology ,Marketing ,Centrality ,Cultural tourism ,Tourism - Abstract
Purpose This paper aims to discuss the evolution of the cultural tourism market and what its future may be. Design/methodology/approach Instead of seeing the cultural tourism market as homogeneous, a segmentation model was developed based on the centrality of culture in the overall decision to travel and the depth of experience sought. Findings The model verified five segments, including: the purposeful cultural tourist, the sightseeing cultural tourist, the serendipitous cultural tourist, the casual cultural tourist and the incidental cultural tourist. Originality/value This framework has transformed how we think about cultural tourists, as it provides a better understanding of the differences in behavior and preferences for certain types of experiences. It is also a tool to develop more effective marketing communication strategies and serves as the basis to evaluate the market significance of this activity.
- Published
- 2020
40. Identifying key papers within a journal via network centrality measures
- Author
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Ross Gore, Saikou Y. Diallo, Christopher J. Lynch, and Jose J. Padilla
- Subjects
65F15 ,Article-level metrics ,Computer science ,05 social sciences ,Closeness ,General Social Sciences ,Network science ,Network theory ,Library and Information Sciences ,050905 science studies ,Network centrality analysis ,Data science ,Article ,Computer Science Applications ,Betweenness centrality ,Metric (mathematics) ,Katz centrality ,0509 other social sciences ,Paper filtering ,050904 information & library sciences ,Centrality - Abstract
This article examines the extent to which existing network centrality measures can be used (1) as filters to identify a set of papers to start reading within a journal and (2) as article-level metrics to identify the relative importance of a paper within a journal. We represent a dataset of published papers in the Public Library of Science (PLOS) via a co-citation network and compute three established centrality metrics for each paper in the network: closeness, betweenness, and eigenvector. Our results show that the network of papers in a journal is scale-free and that eigenvector centrality (1) is an effective filter and article-level metric and (2) correlates well with citation counts within a given journal. However, closeness centrality is a poor filter because articles fit within a small range of citations. We also show that betweenness centrality is a poor filter for journals with a narrow focus and a good filter for multidisciplinary journals where communities of papers can be identified.
- Published
- 2016
41. Global knowledge centrality: co-inventor collaboration with China
- Author
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Salmon, Jessica, Zaman, Salma, Satoglu, Emine Beyza, Sanchez-Henriquez, Fernando, and Velez-Calle, Andres
- Published
- 2023
- Full Text
- View/download PDF
42. The boundary-spanning mechanisms of Nobel Prize winning papers
- Author
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Chaomei Chen and Yakub Sebastian
- Subjects
FOS: Computer and information sciences ,Computer and Information Sciences ,Cell Physiology ,Entropy ,Autophagic Cell Death ,Science ,Boundary spanning ,Space (commercial competition) ,Bibliometrics ,Research and Analysis Methods ,Betweenness centrality ,Citation analysis ,Medicine and Health Sciences ,Centrality ,Digital Libraries (cs.DL) ,Sociology ,Multidisciplinary ,Cell Death ,Physics ,Publications ,Biology and Life Sciences ,Computer Science - Digital Libraries ,Cell Biology ,Research Assessment ,Nobel Prize ,Databases as Topic ,Cell Processes ,Citation Analysis ,Physical Sciences ,Thermodynamics ,Medicine ,Bibliographies as Topic ,Mathematical economics ,Network Analysis ,Research Article - Abstract
The breakthrough potentials of research papers can be explained by their boundary-spanning qualities. Here, for the first time, we apply the structural variation analysis (SVA) model and its affiliated metrics to investigate the extent to which such qualities characterize a group of Nobel Prize winning papers. We find that these papers share remarkable boundary-spanning traits, marked by exceptional abilities to connect disparate and topically-diverse clusters of research papers. Further, their publications exert structural variations on the scale that significantly alters the betweenness centrality distributions of existing intellectual space. Overall, SVA not only provides a set of leading indicators for describing future Nobel Prize winning papers, but also broadens our understanding of the similar prize-winning properties that may have been overlooked among other regular publications., 27 pages, 8 figures, 9 tables. Submitted to Frontiers in Research Metrics and Analytics
- Published
- 2021
43. The Influence of Author Degree Centrality and L-Index on Scientific Performance of Physical Education and Training Papers in China Based on the Perspective of Social Network Analysis
- Author
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Lu Zhang, Wang Wei, Jian Wu, Qian Zheng, Yujiao Tan, Qian Huang, Miao He, Yu Zhang, and Bin Zhang
- Subjects
Multidisciplinary ,Index (economics) ,General Computer Science ,Article Subject ,Perspective (graphical) ,QA75.5-76.95 ,Training (civil) ,Physical education ,Electronic computers. Computer science ,Sociology ,Social science ,Centrality ,China ,Social network analysis - Abstract
With the increasing frequency of scientific cooperation, research on the impact of scientific cooperation on scholars’ scientific performance has become a hot topic in academic research. This paper mainly uses quantitative research methods such as bibliometrics and social network analysis to analyze the correlation between degree centrality, L-index, and scientific performance of the Chinese author of Physical Education and Training Science and draws the following conclusions: (1) degree centrality is positively correlated with the number of papers, average citations per paper, and H-index and (2) L-index is positively correlated with the number of papers, average citations per paper, and H-index. Unlike previous studies on scientific collaboration networks and scholars’ performance that focused on traditional network characteristics indicators, this study introduces a new network characteristics indicator, L-index, through which the degree of collaboration between authors and other important authors in the research field can be better assessed, which also provides a new direction for research related to research collaboration networks and scholars’ performance; at the same time, it also provides a theoretical basis for subsequent research on the utility of scientific collaboration, a reference for the assessment of the research performance of scholars in other disciplines, and a theoretical reference for more scientific and comprehensive prediction of scholars’ research performance in the future.
- Published
- 2021
44. On using centrality to understand importance of entities in the Panama Papers
- Author
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Mayank Kejriwal
- Subjects
Computer and Information Sciences ,Knowledge management ,Panama ,Economics ,Yield (finance) ,Science ,Globe ,Social Sciences ,Network science ,Research and Analysis Methods ,Geographical locations ,Intermediary ,Sociology ,medicine ,Humans ,Centrality ,Multidisciplinary ,business.industry ,Experimental Design ,Commerce ,Central America ,medicine.anatomical_structure ,Social Networks ,Research Design ,Computational Sociology ,Scale (social sciences) ,North America ,Medicine ,Computational sociology ,People and places ,Construct (philosophy) ,business ,Network Analysis ,Finance ,Research Article - Abstract
The Panama Papers comprise one of the most recent influential leaks containing detailed information on intermediary companies (such as law firms), offshore entities and company officers, and serve as a valuable source of insight into the operations of (approximately) 214,000 shell companies incorporated in tax havens around the globe over the past half century. Entities and relations in the papers can be used to construct a network that permits, in principle, a systematic and scientific study at scale using techniques developed in the computational social science and network science communities. In this paper, we propose such a study by attempting to quantify and profile the importance of entities. In particular, our research explores whether intermediaries are significantly more influential than offshore entities, and whether different centrality measures lead to varying, or even incompatible, conclusions. Some findings yield conclusions that resemble Simpson’s paradox. We also explore the role that jurisdictions play in determining entity importance.
- Published
- 2020
45. The 'Paper Case': Evidence and Narrative of a Terrorism Trial in Delhi
- Author
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Mayur Suresh
- Subjects
Correctness ,Sociology and Political Science ,05 social sciences ,Media studies ,Competition (economics) ,Political science ,Terrorism ,Ethnography ,050501 criminology ,Key (cryptography) ,Narrative ,Centrality ,Law ,0505 law - Abstract
Through an ethnography of a terrorism trial that followed bomb‐blasts in Delhi in 2008, this article seeks to understand the centrality of files and documentary practices to the production of legal truth. By following key documents regarding the case against one man I call Fahad, I argue that the truth produced in a trial crucially depends a chain of seemingly insignificant certificatory practices‐the signatures, countersignatures, stamps, and seals that appear on documents. What emerges in the account I provide is that juridical truth is less a matter of finding ‘what really happened,’ and more about the competition between narratives that depend on the certificatory correctness of humble sheets of paper.
- Published
- 2018
46. Vanguard projects as relay races : A historical case study on the building of Eurocan pulp and paper mill, 1965–1970
- Author
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Tuomas Ahola, Juha Laurila, Tampere University, and Industrial Engineering and Management
- Subjects
business.industry ,media_common.quotation_subject ,05 social sciences ,Principal (computer security) ,Control (management) ,0211 other engineering and technologies ,512 Business and management ,02 engineering and technology ,Building and Construction ,Public relations ,Variety (cybernetics) ,Management of Technology and Innovation ,Political science ,021105 building & construction ,0502 economics and business ,Vanguard ,Business and International Management ,Project management ,Wilderness ,Institutional theory ,business ,Centrality ,050203 business & management ,media_common - Abstract
Previous research recognises the strategic role of vanguard projects in providing their initiators with avenues for entering new markets or gaining mastery over innovative technologies. This study makes a contribution to this research by focusing on the extent to which vanguard projects are under control and serve the interests of their principal initiators and the other actors involved. Simultaneously, the present study contributes to project management research by applying historical case study methodology on Eurocan, a vanguard project that a major Finnish forest industry firm Enso established in the mid-1960s to the wilderness of British Columbia, Canada. Our historical analysis encourages regarding vanguard projects as relay races in which several actors participate, largely in unanticipated ways. This is especially because the initiation of vanguard projects appears to be characterised by both the heterogeneity of the actors involved, a wide variety of actions taken by these actors to increase their centrality in the project organisation as well as abrupt changes among them and their relative importance over the project lifecycle. Together these characteristics make vanguard projects particularly prone to influence from external actors and events. publishedVersion
- Published
- 2021
47. Investigation into the development of lithium-ion battery electrolytes and related knowledge transfer using research paper-based social network analysis
- Author
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Ming-Ta Lee and Wei-Nien Su
- Subjects
Knowledge management ,Renewable Energy, Sustainability and the Environment ,business.industry ,Computer science ,media_common.quotation_subject ,Energy Engineering and Power Technology ,Technological evolution ,Institution ,Position (finance) ,Electrical and Electronic Engineering ,business ,Centrality ,Publication ,Knowledge transfer ,Social network analysis ,Network analysis ,media_common - Abstract
It is generally accepted that the latest research findings are published as research papers in journals. Social network analysis (SNA) can offer a perspective from which to analyze technological developments. This work analyzes the development of lithium-ion batteries (LIBs) and electrolytes by SNA based on papers from 2011 to 2015. Three types of social networks, country-, institution-, and research paper-based networks were used. Country-based network analysis shows that major ten countries have a close relationship with respect to technology development. Institution-based network analysis revealed that 48 top institutions publish the most prolifically and that a “small-world” effect exists within the network, indicating excellent knowledge transfer among institutions through citations. Several institutions occupy the center position within the network and have a prominent influence in knowledge transfer as judged by centrality analysis. Research paper-based social networks, consisting of high-citation articles, are grouped into six technology clusters, which exhibit a broad range of knowledge transfer processes regardless of the battery and electrolyte types, indicating underlying closely interwoven relationships. The knowledge transfer path can describe the technology evolution in detail. An overview of technological development status can be thus obtained by this proposed three-level analysis method.
- Published
- 2021
48. Doing interprofessional research in the COVID-19 era : a discussion paper
- Author
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Andreas Xyrichis, Alla El-Awaisi, Michael P. Sy, Shobhana Nagraj, Noreen O'Leary, Veronica O'Carroll, University of St Andrews. School of Medicine, University of St Andrews. Centre for Higher Education Research, and University of St Andrews. Education Division
- Subjects
Research design ,Biomedical Research ,Remote data collection ,Coronavirus disease 2019 (COVID-19) ,Distancing ,Pneumonia, Viral ,T-NDAS ,Observation ,Severe Acute Respiratory Syndrome ,Interprofessional research ,Interviews as Topic ,03 medical and health sciences ,0302 clinical medicine ,SDG 3 - Good Health and Well-being ,RA0421 ,RA0421 Public health. Hygiene. Preventive Medicine ,Pandemic ,Global health ,Humans ,030212 general & internal medicine ,Sociology ,Fellowships and Scholarships ,Pandemics ,Qualitative Research ,Coronavirus pandemic ,Research ethics ,Data collection ,030504 nursing ,COVID-19 ,General Medicine ,Focus Groups ,Interdisciplinary Communication ,Engineering ethics ,Interprofessional scholarship ,Coronavirus Infections ,0305 other medical science ,Centrality ,Delivery of Health Care - Abstract
The COVID-19 pandemic, and ensuing physical distancing measures, poses challenges for researchers in the field of interprofessional care. Pandemic management has highlighted the centrality of interprofessional working to effective healthcare delivery during crises. It is essential to find ways to maintain interprofessional research that has commenced, while also designing research to capture important learning from pandemic management and response. However, it also creates opportunities for new research projects and novel research designs. This discussion paper explores ways of adapting existing research methodologies and outlines potential avenues for new research. Specifically, considerations to bear in mind when designing interprofessional research during the pandemic include research ethics and integrity, research design, data collection methods, research opportunities, implications and limitations. Interprofessional research can continue to make a valuable contribution in informing global responses to COVID-19 and in planning for future global health crises. We call for, insofar as possible, for interprofessional research to continue to be developed during this time. Postprint
- Published
- 2020
49. A network text analysis of published papers in service business, 2007–2017: research trends in the service sector
- Author
-
Sang M. Lee and Jin Sung Rha
- Subjects
Service (business) ,Knowledge management ,business.industry ,Strategy and Management ,media_common.quotation_subject ,05 social sciences ,Network text analysis ,Political science ,Human resource management ,0502 economics and business ,050211 marketing ,Quality (business) ,Business and International Management ,Centrality ,business ,Tertiary sector of the economy ,050203 business & management ,Analysis method ,Tourism ,media_common - Abstract
The service sector has become the most important part of the global economy. Thus, Service Business: An International Journal (SB) was launched in 2007 to deliver innovative studies that can provide resonating insights to researchers and practitioners in services. This study analyzed 311 articles published in SB during the past 10+ years (2007–2017) by conducting network text analysis (NTA). The published papers’ keywords link relations were analyzed to create network maps of research topics, ranging from traditional to emerging ideas of researchers. Influential research topics and their clusters were identified using centrality and community analyses. Research trends were identified for the first 5 years (Volume 1–5) and later years (Volume 6–11) separately through NTA. The results reveal interesting change in research topics over time. Common keywords of studies published in the first 5 years were: Service, Innovation, Customer, Strategy, Tourism, and Quality. The primary frequent keywords of articles published during 2012–2017 were: Customer, Quality, Satisfaction, Innovation, Mobile, and Technology. The results of the study shed valuable insights to the researchers and practitioners in the service sector. Applications of keyword network building and analysis methods provided in this study would be helpful to researchers who are interested in exploring trends of emerging new topics.
- Published
- 2018
50. Identification of milestone papers through time-balanced network centrality
- Author
-
Matúš Medo, Yi-Cheng Zhang, and Manuel Sebastian Mariani
- Subjects
FOS: Computer and information sciences ,Physics - Physics and Society ,FOS: Physical sciences ,Physics and Society (physics.soc-ph) ,Library and Information Sciences ,050905 science studies ,Computer Science - Information Retrieval ,law.invention ,PageRank ,law ,Citation analysis ,Milestone (project management) ,Digital Libraries (cs.DL) ,Social and Information Networks (cs.SI) ,Information retrieval ,Impact factor ,05 social sciences ,Computer Science - Digital Libraries ,Computer Science - Social and Information Networks ,Computer Science Applications ,Identification (information) ,Ranking ,0509 other social sciences ,050904 information & library sciences ,Citation ,Centrality ,Information Retrieval (cs.IR) - Abstract
Citations between scientific papers and related bibliometric indices, such as the $h$-index for authors and the impact factor for journals, are being increasingly used - often in controversial ways - as quantitative tools for research evaluation. Yet, a fundamental research question remains still open: to which extent do quantitative metrics capture the significance of scientific works? We analyze the network of citations among the $449,935$ papers published by the American Physical Society (APS) journals between 1893 and 2009, and focus on the comparison of metrics built on the citation count with network-based metrics. We contrast five article-level metrics with respect to the rankings that they assign to a set of fundamental papers, called Milestone Letters, carefully selected by the APS editors for "making long-lived contributions to physics, either by announcing significant discoveries, or by initiating new areas of research". A new metric, which combines PageRank centrality with the explicit requirement that paper score is not biased by paper age, is the best-performing metric overall in identifying the Milestone Letters. The lack of time bias in the new metric makes it also possible to use it to compare papers of different age on the same scale. We find that network-based metrics identify the Milestone Letters better than metrics based on the citation count, which suggests that the structure of the citation network contains information that can be used to improve the ranking of scientific publications. The methods and results presented here are relevant for all evolving systems where network centrality metrics are applied, for example the World Wide Web and online social networks. An interactive Web platform where it is possible to view the ranking of the APS papers by rescaled PageRank is available at the address \url{http://www.sciencenow.info}., Main text (pp. 1-12) + Appendices (pp. 13-18)
- Published
- 2016
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