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11,562 results

1. The Development of Social Capital among College Faculty: Investigating Teaching-Focused Personal Networks and Instructional Practice. WCER Working Paper No. 2020-9

Author

University of Wisconsin-Madison, Wisconsin Center for Education Research (WCER), Benbow, Ross J., and Lee, Changhee

Abstract

Scholars recognize that K-12 teachers' social interactions, particularly within teaching focused relationships, are important to professional development. This is true whether discussions take place in formal or informal settings. Few studies, however, seek to link the teaching-focused relationships of "college faculty" directly to their instructional practice, nor to explore perceptions of what these relationships entail and how they influence teaching at the college level. Using surveys (n=868), interviews (n=83), and a social capital theoretical framework, this mixed-methods social network analysis explores associations between teaching focused "personal networks"--compilations of relationships surrounding individual faculty-- and the use of evidence-based instructional methods. We also explore faculty perceptions of how network interactions shape their teaching. Quantitative results indicate that the size, range, and strength of faculty teaching-focused personal networks positively correlate with the use of evidence-based instructional methods, while qualitative results point to the ways faculty see different kinds of network ties, relational mechanisms and objects, and returns influencing teaching practice.

Published
2020

2. Research on the Cooperative Behavior of Academic Papers Published by Chinese Educational Scholars Based on Complex Networks

Author

Li, Bichu and Zhang, Ziliang

Abstract

Research on mutual cooperation among scholars or research institutions has become more and more common. The purpose of this paper is to explore the current status of cooperation between scholars and research institutions in the field of Chinese education. In this paper, we use the method of the complex network to analyze the cooperative behavior of academic papers published by Chinese educational scholars by collecting academic papers on education leadership, education policy, quality education, and vocational education. Our conclusions show that most of the academic papers published by Chinese educational scholars are non-cooperative. In the authors of the co-authored papers, there is a significant "Matthew effect", that is, some key scholars in these fields that link the collaborators. Lastly, there is no obvious aggregation effect between the authors of the co-authored papers which indicating a widespread and extensive connection between the collaborators. The above conclusions provide valuable insights into our understanding of the cooperative behavior of Chinese education scholars.

Published
2019

3. Annual Proceedings of Selected Research and Development Papers Presented at the Annual Convention of the Association for Educational Communications and Technology (42nd, Las Vegas, Nevada, 2019). Volume 1

Author

Association for Educational Communications and Technology, Simonson, Michael, and Seepersaud, Deborah

Abstract

For the forty-second time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Las Vegas, Nevada. The Proceedings of AECT's Convention are published in two volumes. Volume 1 contains 37 papers dealing primarily with research and development topics. Papers dealing with the practice of instructional technology including instruction and training issues are contained in Volume 2. [For Volume 2, see ED609417.]

Published
2019

4. Content-based quality evaluation of scientific papers using coarse feature and knowledge entity network

Author

Zhongyi Wang, Haoxuan Zhang, Haihua Chen, Yunhe Feng, and Junhua Ding

Subjects
Paper quality evaluation, Knowledge entity, Network analysis, Machine learning, Novelty, Structural entropy, Electronic computers. Computer science, QA75.5-76.95
Abstract

Pre-evaluating scientific paper quality aids in alleviating peer review pressure and fostering scientific advancement. Although prior studies have identified numerous quality-related features, their effectiveness and representativeness of paper content remain to be comprehensively investigated. Addressing this issue, we propose a content-based interpretable method for pre-evaluating the quality of scientific papers. Firstly, we define quality attributes of computer science (CS) papers as integrity, clarity, novelty, and significance, based on peer review criteria from 11 top-tier CS conferences. We formulate the problem as two classification tasks: Accepted/Disputed/Rejected (ADR) and Accepted/Rejected (AR). Subsequently, we construct fine-grained features from metadata and knowledge entity networks, including text structure, readability, references, citations, semantic novelty, and network structure. We empirically evaluate our method using the ICLR paper dataset, achieving optimal performance with the Random Forest model, yielding F1 scores of 0.715 and 0.762 for the two tasks, respectively. Through feature analysis and case studies employing SHAP interpretable methods, we demonstrate that the proposed features enhance the performance of machine learning models in scientific paper quality evaluation, offering interpretable evidence for model decisions.

Published
2024
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5. From Science to Politics: Commissioned Reports and Their Political Translation into White Papers

Author

Steiner-Khamsi, Gita, Karseth, Berit, and Baek, Chanwoong

Abstract

The study presents a bibliometric network analysis of the two most recent schools reforms in Norway. Two research questions have been pursued: First, do the government-appointed expert commission use (in Green Papers) the same type of knowledge as 'evidence' for their reviews and recommendations as the Ministry of Education and Research (as reflected in the White Papers)? How has the use of 'evidence' changed over the two reform periods? Second, which body of knowledge amassed by the expert commission has the Ministry of Education and Science actually used for policy formulation? The network analysis shows (i) distinct changes in reference patterns over the two reform periods (e.g., average number of references more than doubled and references to international texts increased significantly), and (ii) an unexpectedly low usage of the 'evidence' presented by the expert commissions. The Ministry of Education and Research only draws on 9.5 percent of the references presented by the expert commissions. Strikingly, almost all of the adopted references are from a commissioned report that locally adapted and translated OECD's Definitions and Selections of Competencies project. The authors suggest 'studying up' and paying more attention to how scientific 'evidence' is actually used, translated, and edited at the political level.

Published
2020
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6. Social Networks and Skills Instruction: A Pilot Study of STEM College Educators and Employers in Wisconsin and New York. WCER Working Paper No. 2018-3

Author

University of Wisconsin-Madison, Wisconsin Center for Education Research (WCER), Benbow, Ross J., Lee, Changhee, and Hora, Matthew T.

Abstract

Research indicates that teamwork, communication, self-directed learning, and problem-solving skills are strongly linked to individual academic and professional success, yet little is known regarding how college educators and employer trainers learn to better teach or train others in these valuable skills in postsecondary and employment STEM contexts. This pilot study uses social network analysis--a research perspective studying relationships or "social ties" to better understand the ways interactions influence behavior--to explore the dimensions of educator and trainer discussions regarding methods for helping students or employees acquire important skills. The study also examines whether educators and employers believe such discussions influence their instruction. A descriptive analysis of data from online surveys collected from educators (n=192) and employers (n=70) in technology and manufacturing fields in southern Wisconsin and western New York indicates respondents frequently engage in such teaching- and training-focused discussions with people inside and outside their colleges and businesses. Though more college educators are involved in such conversations than employers, employer trainers who engage in such conversations do so with individuals affiliated with more diverse organizations. Results also indicate that educators and employers who have these discussions do so at a similar frequency. Finally, most educators and employers with teaching- and training-focused social networks perceive them to be beneficial to their teamwork, communication, self-directed learning, and problem-solving instruction. In light of these findings, leaders hoping to further develop teaching- and training-focused social networks in education and employment fields may find more success in openly promoting the importance of such social ties as well as providing more opportunities for intra- and interorganizational professional development in instruction.

Published
2018

7. Behind the Scenes: An Analysis of Policy Networks in the Contemporary Israeli Education Landscape

Author

May Amiel, Miri Yemini, and Amit Rechavi

Abstract

We investigate the sub-networks involved in education policy in Israel in recent years, using Mixed Methods Social Networks Analysis - drawn from combined analysis of qualitative and quantitative data. Our objective was to comprehensively explore the Israeli education policy network to deliver an understanding of its structure, actors, and relationships. Our research offers a descriptive, analytical, and interpretive account of the contemporary Israeli education policy sector, including the actors involved, central policy sub-networks and organizations, and their relationships. We analyze dependence relations within the sub-networks using Resource Dependency Theory and Policy Networks Typology. Our findings contribute to understanding the dynamics of Israeli education policy networks and their perceived influence on policy-making and enactment processes. To the international field of educational policy-related research, we introduce a novel category of policy network actors, previously unaddressed as a distinct type. We have termed this category 'Ethos networks' to characterize this group of actors and elaborate on its significance within the field. Additionally, we underline the importance of considering external societal and political factors in education policy-making.

Published
2024
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9. Digital Learning Platforms and Peer Influence: Analysis of Performance and Collaboration

Author

Pesovski, Ivica, Jolakoski, Petar, Kubincová, Zuzana, Herzog, Michael, Trajkovik, Vladimir, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Vardi, Moshe Y, Series Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Kubincová, Zuzana, editor, Hao, Tianyong, editor, Capuano, Nicola, editor, Temperini, Marco, editor, Ge, Shili, editor, Mu, Yuanyuan, editor, Fantozzi, Paolo, editor, and Yang, Jing, editor

Published
2024
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11. Plant Blindness Intensity Throughout the School and University Years: A Cross-Age Study

Author

Amprazis, Alexandros, Papadopoulou, Penelope, Hammann, Marcus, Series Editor, Yarden, Anat, Series Editor, Ergazaki, Marida, Founding Editor, Kampourakis, Kostas, Founding Editor, Zabel, Jörg, Editorial Board Member, Korfiatis, Constantinos, Editorial Board Member, Jimenez Aleixandre, Maria Pilar, Editorial Board Member, Harms, Ute, Editorial Board Member, Reiss, Michael, Editorial Board Member, Gericke, Niklas, Editorial Board Member, El-Hani, Charbel Nino, Editorial Board Member, Dawson, Vaille, Editorial Board Member, Nehm, Ross, Editorial Board Member, McComas, William, Editorial Board Member, Passmore, Cynthia, Editorial Board Member, Grace, Marcus, Editorial Board Member, Knippels, Marie Christine, Editorial Board Member, and Korfiatis, Konstantinos, editor

Published
2024
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12. Moving towards an Integrated Theory of Policy Networks: A Multi-Theoretical Approach for Examining State-Level Policy Change in U.S. Subsystems. Working Paper #45

Author

Michigan State University, Education Policy Center, Galey, Sarah, and Youngs, Peter

Abstract

Scholars have developed a wide range of theories to explain both stability and change in policy subsystems. In recent years, a burgeoning literature has emerged that focuses on the application of network analysis in policy research, more formally known as Policy Network Analysis (PNA). This approach, while still developing, has great potential as an integrated theoretical framework that brings together multiple theories under a single conceptual paradigm. In this paper, the authors demonstrate how the insights of three other established policy theories--namely, the Advocacy Coalition Framework (ACF), Punctuated-Equilibrium theory (PET), and the Policy Entrepreneur Model (PEM)--may be augmented under a synthesis theory of policy networks to provide a more conceptually coherent theory of policymaking that may be useful for explaining periods of both stability and change.

Published
2014

14. Paper, Scissors, Rock: Aspects of the Intertwined Histories of Pedagogy and Model-Making

Author

Insley, Jane

Abstract

Investigating the stories behind the makers of 3D models of crystals has proved unexpectedly unstraightforward. Drawing on actor-network theory (ANT), this article investigates the references behind a set of models of mineralogical crystals made of pasteboard held by National Museums Scotland (NMS), to uncover the history and tradition of such models and the role that pedagogy plays in their stories. The contributions of many of the main actors have been neglected, dismissed, ignored, forgotten, or otherwise rendered invisible in the historical record, either intentionally or accidentally. It became clear, however, that there was a significant tradition of modelling in paper, from the earliest years of learning, play and education. Many more people than those intending to become professional model makers were capable of making paper models of subjects from the crystals found in rocks, to buildings made of them.

Published
2017
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15. Social Network Analysis-Based Evaluation on Carbon Neutrality Acceptance of Weibo Users

Author

Fu, Yuan, Wen, Peihan, Wu, Junlin, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Mori, Hirohiko, editor, Asahi, Yumi, editor, Coman, Adela, editor, Vasilache, Simona, editor, and Rauterberg, Matthias, editor

Published
2023
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16. Spread of Perturbations in Supply Chain Networks: The Effect of the Bow-Tie Organization on the Resilience of the Global Automotive System

Author

Flori, Elisa, Zhu, Yi, Paterlini, Sandra, Pattarin, Francesco, Villani, Marco, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, De Stefano, Claudio, editor, Fontanella, Francesco, editor, and Vanneschi, Leonardo, editor

Published
2023
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17. Network Creation During Agglomeration Processes of Polydisperse and Monodisperse Systems of Droplets

Author

Schneider, Johannes Josef, Faggian, Alessia, Diaz, Aitor Patiño, Li, Jin, Holler, Silvia, Casiraghi, Federica, Sanahuja, Lorena Cebolla, Matuttis, Hans-Georg, Hanczyc, Martin Michael, Barrow, David Anthony, Weyland, Mathias Sebastian, Flumini, Dandolo, Eggenberger Hotz, Peter, Dimitriou, Pantelitsa, Jamieson, William David, Castell, Oliver, Eschle, Patrik, Füchslin, Rudolf Marcel, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, De Stefano, Claudio, editor, Fontanella, Francesco, editor, and Vanneschi, Leonardo, editor

Published
2023
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20. Network Vulnerability Analysis in Wasserstein Spaces

Author

Ponti, Andrea, Irpino, Antonio, Candelieri, Antonio, Bosio, Anna, Giordani, Ilaria, Archetti, Francesco, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Simos, Dimitris E., editor, Rasskazova, Varvara A., editor, Archetti, Francesco, editor, Kotsireas, Ilias S., editor, and Pardalos, Panos M., editor

Published
2022
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21. Average Nearest Neighbor Degree and Its Distribution in Social Networks

Author

Grigoriev, Alexey, Sidorov, Sergei, Mironov, Sergei, Malinskii, Igor, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Alexandrov, Daniel A., editor, Boukhanovsky, Alexander V., editor, Chugunov, Andrei V., editor, Kabanov, Yury, editor, Koltsova, Olessia, editor, Musabirov, Ilya, editor, and Pashakhin, Sergei, editor

Published
2022
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22. Obstacles on the Pathway Towards Chemical Programmability Using Agglomerations of Droplets

Author

Schneider, Johannes Josef, Faggian, Alessia, Matuttis, Hans-Georg, Barrow, David Anthony, Li, Jin, Holler, Silvia, Casiraghi, Federica, Sanahuja, Lorena Cebolla, Hanczyc, Martin Michael, Eschle, Patrik, Weyland, Mathias Sebastian, Flumini, Dandolo, Eggenberger Hotz, Peter, Füchslin, Rudolf Marcel, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Schneider, Johannes Josef, editor, Weyland, Mathias Sebastian, editor, Flumini, Dandolo, editor, and Füchslin, Rudolf Marcel, editor

Published
2022
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23. Analyses of Networks of Politicians Based on Linked Data: Case ParliamentSampo – Parliament of Finland on the Semantic Web

Author

Poikkimäki, Henna, Leskinen, Petri, Tamper, Minna, Hyvönen, Eero, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Chiusano, Silvia, editor, Cerquitelli, Tania, editor, Wrembel, Robert, editor, Nørvåg, Kjetil, editor, Catania, Barbara, editor, Vargas-Solar, Genoveva, editor, and Zumpano, Ester, editor

Published
2022
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24. Interior Design Network of Furnishing and Color Pairing with Object Detection and Color Analysis Based on Deep Learning

Author

Park, Bo Hyeon, Son, Kihoon, Hyun, Kyung Hoon, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Gerber, David, editor, Pantazis, Evangelos, editor, Bogosian, Biayna, editor, Nahmad, Alicia, editor, and Miltiadis, Constantinos, editor

Published
2022
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25. The Best Place in Tokyo for Anything: Classifying Stations by Walkability to Specific Amenities

Author

Bramson, Aaron, Hori, Megumi, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Takama, Yasufumi, editor, Matsumura, Naohiro, editor, Yada, Katsutoshi, editor, Matsushita, Mitsunori, editor, Katagami, Daisuke, editor, Abe, Akinori, editor, Kashima, Hisashi, editor, Hiraoka, Toshihiro, editor, Uchiya, Takahiro, editor, and Rzepka, Rafal, editor

Published
2022
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26. The Other Side of Deplatforming: Right-Wing Telegram in the Wake of Trump’s Twitter Ouster

Author

Bryanov, Kirill, Vasina, Dina, Pankova, Yulia, Pakholkov, Victor, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Alexandrov, Daniel A., editor, Boukhanovsky, Alexander V., editor, Chugunov, Andrei V., editor, Kabanov, Yury, editor, Koltsova, Olessia, editor, Musabirov, Ilya, editor, and Pashakhin, Sergei, editor

Published
2022
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27. Content-based quality evaluation of scientific papers using coarse feature and knowledge entity network.

Author

Wang, Zhongyi, Zhang, Haoxuan, Chen, Haihua, Feng, Yunhe, and Ding, Junhua

Abstract

Pre-evaluating scientific paper quality aids in alleviating peer review pressure and fostering scientific advancement. Although prior studies have identified numerous quality-related features, their effectiveness and representativeness of paper content remain to be comprehensively investigated. Addressing this issue, we propose a content-based interpretable method for pre-evaluating the quality of scientific papers. Firstly, we define quality attributes of computer science (CS) papers as integrity , clarity , novelty , and significance , based on peer review criteria from 11 top-tier CS conferences. We formulate the problem as two classification tasks: Accepted/Disputed/Rejected (ADR) and Accepted/Rejected (AR). Subsequently, we construct fine-grained features from metadata and knowledge entity networks, including text structure, readability, references, citations, semantic novelty, and network structure. We empirically evaluate our method using the ICLR paper dataset, achieving optimal performance with the Random Forest model, yielding F1 scores of 0.715 and 0.762 for the two tasks, respectively. Through feature analysis and case studies employing SHAP interpretable methods, we demonstrate that the proposed features enhance the performance of machine learning models in scientific paper quality evaluation, offering interpretable evidence for model decisions. • Define four criteria for quality evaluation of scientific papers: integrity, clarity, novelty, and significance. • Propose a framework for quality evaluation of scientific papers based on coarse features and knowledge entity network. • An effective algorithm for measuring the novelty and significance of scientific papers based on knowledge entity networks. • Create and release a rigorous dataset, which could serve as the gold standard for quality evaluation of scientific papers. • Conduct extensive experiments to validate the effectiveness of the proposed framework. [ABSTRACT FROM AUTHOR]

Published
2024
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28. Explaining Trace-Based Learner Profiles with Self-Reports: The Added Value of Psychological Networks

Author

Jelena Jovanovic, Dragan Gaševic, Lixiang Yan, Graham Baker, Andrew Murray, and Danijela Gasevic

Abstract

Background: Learner profiles detected from digital trace data are typically triangulated with survey data to explain those profiles based on learners' internal conditions (e.g., motivation). However, survey data are often analysed with limited consideration of the interconnected nature of learners' internal conditions. Objectives: Aiming to enable a thorough understanding of trace-based learner profiles, this paper presents and evaluates a comprehensive approach to analysis of learners' self-reports, which extends conventional statistical methods with psychological networks analysis. Methods: The study context is a massive open online course (MOOC) aimed at promoting physical activity (PA) for health. Learners' (N = 497) perceptions related to PA, as well as their self-efficacy and intentions to increase the level of PA were collected before and after the MOOC, while their interactions with the course were logged as digital traces. Learner profiles derived from trace data were further examined and interpreted through a combined use of conventional statistical methods and psychological networks analysis. Results and Conclusions: The inclusion of psychological networks in the analysis of learners' self-reports collected before the start of the MOOC offers better understanding of trace-based learner profiles, compared to the conventional statistical analysis only. Likewise, the combined use of conventional statistical methods and psychological networks in the analysis of learners' self-reports before and after the MOOC provided more comprehensive insights about changes in the constructs measured in each learner profile. Major Takeaways: The combined use of conventional statistical methods and psychological networks presented in this paper sets a path for a comprehensive analysis of survey data. The insights it offers complement the information about learner profiles derived from trace data, thus allowing for a more thorough understanding of learners' course engagement than any individual method or data source would allow.

Published
2024
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29. Using Learner Data from Duolingo to Detect Micro- and Macroscopic Granularity through Machine Learning Methods to Capture the Language Learning Journey

Author

Chiera, Belinda, Bédi, Branislav, and Zviel-Girshin, Rina

Abstract

Modern language learning applications have become 'smarter' and 'intelligent' by including Artificial Intelligence (AI) and Machine Learning (ML) technologies to collect different kinds of data. This data can be used for analysis on a microscopic and/or macroscopic level to provide granulation of knowledge. We analyzed 1,213 French language learner data over a 30-day period, publicly available from Duolingo, to compare the progression of individual learners (microscopic granularity) and large groups of learners (macroscopic granularity). Using network modeling, we compared patterns of individual learners against one another and that of a learning community and determined what groups of learners typically practice across communities. Preliminary results suggest how applications for L2 learning can be designed to create an optimal path for learning. [For the complete volume, "Intelligent CALL, Granular Systems and Learner Data: Short Papers from EUROCALL 2022 (30th, Reykjavik, Iceland, August 17-19, 2022)," see ED624779.]

Published
2022

30. Portraits of Typical Accounts in Ethereum Transaction Network

Author

Xia, Yijun, Liu, Jieli, Zheng, Jiatao, Wu, Jiajing, Su, Xiaokang, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Dai, Hong-Ning, editor, Liu, Xuanzhe, editor, Luo, Daniel Xiapu, editor, Xiao, Jiang, editor, and Chen, Xiangping, editor

Published
2021
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32. Panama Papers' offshoring network behavior

Author

David Dominguez, Odette Pantoja, Pablo Pico, Miguel Mateos, María del Mar Alonso-Almeida, and Mario González

Subjects
Panama Papers, Offshore societies, Tax havens, Geographical networks, Graph Theory, Network Analysis, Science (General), Q1-390, Social sciences (General), H1-99
Abstract

The present study analyzes the offshoring network constructed from the information contained in the Panama Papers, characterizing worldwide regions and countries as well as their intra- and inter-relationships. The Panama Papers 2016 divulgence is the largest leak of offshoring and tax avoidance documentation. The document leak, with a volume content of approximately 2.6 terabytes, involves more than two hundred thousand enterprises in more than two hundred countries. From this information, the offshore connections of individuals and companies are constructed and aggregated using their countries of origin. The top offshore financial regions and countries of the network are identified, and their intra- and inter-relationship are mapped and described. We are able to identify the top countries in the offshoring network and characterize their connectivity structure, discovering the more prominent actors in the worldwide offshoring scenario and their range of influence.

Published
2020
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33. Using Sequence Constraints for Modelling Network Interactions

Author

De Smedt, Johannes, Mori, Junichiro, Ochi, Masanao, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Ohsawa, Yukio, editor, Yada, Katsutoshi, editor, Ito, Takayuki, editor, Takama, Yasufumi, editor, Sato-Shimokawara, Eri, editor, Abe, Akinori, editor, Mori, Junichiro, editor, and Matsumura, Naohiro, editor

Published
2020
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34. Identifying Early Opinion Leaders on COVID-19 on Twitter

Author

Hatami, Zahra, Hall, Margeret, Thorne, Neil, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Stephanidis, Constantine, editor, Soares, Marcelo M., editor, Rosenzweig, Elizabeth, editor, Marcus, Aaron, editor, Yamamoto, Sakae, editor, Mori, Hirohiko, editor, Rau, Pei-Luen Patrick, editor, Meiselwitz, Gabriele, editor, Fang, Xiaowen, editor, and Moallem, Abbas, editor

Published
2021
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35. Research on Knowledge Graph in Education Field from the Perspective of Knowledge Graph

Author

Chen, Zhiyun, Tang, Weizhong, Ma, Lichao, Qian, Dongming, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Gao, Wanling, editor, Hwang, Kai, editor, Wang, Changyun, editor, Li, Weiping, editor, Qiu, Zhigang, editor, Wang, Lei, editor, Zhou, Aoying, editor, Qian, Weining, editor, Jin, Cheqing, editor, and Zhang, Zhifei, editor

Published
2021
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37. A New Parallel Methodology for the Network Analysis of COVID-19 Data

Author

Agapito, Giuseppe, Milano, Marianna, Cannataro, Mario, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Balis, Bartosz, editor, B. Heras, Dora, editor, Antonelli, Laura, editor, Bracciali, Andrea, editor, Gruber, Thomas, editor, Hyun-Wook, Jin, editor, Kuhn, Michael, editor, Scott, Stephen L., editor, Unat, Didem, editor, and Wyrzykowski, Roman, editor

Published
2021
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38. The Public's Understanding of 'Evolution' as Seen through Online Spaces

Author

Park, Hyoung-Yong and Seo, Hae-Ae

Abstract

Evolution is a central concept that unifies all areas of life sciences. Despite longstanding scientific efforts in science education, the public's scientific awareness of evolution still needs to improve. Furthermore, teaching evolution is subject to recurring controversy. This study aimed to investigate the gap between public understanding of evolution seen through online spaces and contents in a school curriculum and explore its reasons. A content analysis was conducted using data mining on a major online portal in Korea. It examined the characteristics of creating and consuming content on evolution through the online portal service based on analyzing the number of posts related to biological evolution and active participants. It also discussed the feasibility of automatic document classification to distinguish between scientific understanding and nonscientific beliefs on the evolution and related online circulating contents. The results show that there are tactics for public exposure and dissemination of creationism through online discussions. [For the full proceedings, see ED629086.]

Published
2023

39. Social CRM: A Literature Review Based on Keywords Network Analysis

Author

Lobato, Fábio M. F., Silva Junior, Jorge L. F., Jacob, Antônio, Jr., Lisboa Cardoso, Diego, van der Aalst, Wil, Series Editor, Mylopoulos, John, Series Editor, Rosemann, Michael, Series Editor, Shaw, Michael J., Series Editor, Szyperski, Clemens, Series Editor, Abramowicz, Witold, editor, and Klein, Gary, editor

Published
2020
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41. Address Clustering Heuristics for Ethereum

Author

Victor, Friedhelm, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Bonneau, Joseph, editor, and Heninger, Nadia, editor

Published
2020
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42. Comparing Community Detection Methods in Brain Functional Connectivity Networks

Author

Vangimalla, Reddy Rani, Sreevalsan-Nair, Jaya, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Balusamy, Suresh, editor, Dudin, Alexander N., editor, Graña, Manuel, editor, Mohideen, A. Kaja, editor, Sreelaja, N. K., editor, and Malar, B., editor

Published
2020
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43. South Korea as the Role Model for Covid-19 Policies? An Analysis of the Effect of Government Policies on Infection Chain Structures

Author

Haberling, Alexander, Laurisch, Jakob, Altmann, Jörn, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Djemame, Karim, editor, Altmann, Jörn, editor, Bañares, José Ángel, editor, Agmon Ben-Yehuda, Orna, editor, Stankovski, Vlado, editor, and Tuffin, Bruno, editor

Published
2020
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44. Predicting the Global Impact of Authors from the Learning Analytics Community--A Case Study Grounded in CNA

Author

Ionita, Remus Florentin, Dascalu, Mihai, Corlatescu, Dragos-Georgian, and McNamara, Danielle S

Abstract

Exploring new or emerging research domains or subdomains can become overwhelming due to the magnitude of available resources and the high speed at which articles are published. As such, a tool that curates the information and underlines central entities, both authors and articles from a given research context, is highly desirable. Starting from the articles of the International Conference of Learning Analytics & Knowledge (LAK) in its first decade, this paper proposes a novel method grounded in Cohesion Network Analysis (CNA) to analyze subcommunities of authors based on the semantic similarities between authors and papers, and estimate their global impact. Paper abstracts are represented as embeddings using a fine-tuned SciBERT language model, alongside a custom trained LSA model. The extrapolation between the local LAK community to a worldwide importance was also underlined by the comparison between the rankings obtained from our method and statistics from ResearchGate. The accuracies for binary classifications in terms of high/low impact predictions were around 70% for authors, and around 80% for articles. Our method can guide researchers by providing valuable information on the interactions between the members of a knowledge community and by highlighting central local authors who may potentially have a high global impact.

Published
2021
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47. Measuring Ethereum-Based ERC20 Token Networks

Author

Victor, Friedhelm, Lüders, Bianca Katharina, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Goldberg, Ian, editor, and Moore, Tyler, editor

Published
2019
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48. Extractive Summarization Using Cohesion Network Analysis and Submodular Set Functions

Author

Cioaca, Valentin Sergiu, Dascalu, Mihai, and McNamara, Danielle S.

Abstract

Numerous approaches have been introduced to automate the process of text summarization, but only few can be easily adapted to multiple languages. This paper introduces a multilingual text processing pipeline integrated in the open-source "ReaderBench" framework, which can be retrofit to cover more than 50 languages. While considering the extensibility of the approach and the problem of missing labeled data for training in various languages besides English, an unsupervised algorithm was preferred to perform extractive summarization (i.e., select the most representative sentences from the original document). Specifically, two different approaches relying on text cohesion were implemented:(1) a graph-based text representation derived from Cohesion Network Analysis that extends TextRank; and (2) a class of submodular set functions. Evaluations were performed on the DUC dataset and use as baseline the implementation of TextRank from Gensim. Our results using the submodular set functions outperform the baseline. In addition, two use cases on English and Romanian languages are presented, with corresponding graphical representations for the two methods. [This paper was published in: 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) Proceedings, 2020, pp. 161-168 (ISBN 978-1-7281-7628-4).]

Published
2021
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49. Using Epistemic Network Analysis to Explore Discourse Patterns across Design Iterations of a Teacher Dashboard

Author

Adair, Amy, Owens, Jessica, and Gobert, Janice

Abstract

Providing high-level support to students on NGSS inquiry practices can be challenging; however, teacher dashboards can help teachers provide just-in-time instruction to students, both in-person and online. Prior work has shown some success with a dashboard that alerts teachers in real time on students' science inquiry difficulties, but teachers differed in their use of the alerts. To further support teachers, we designed a second iteration, in which the alerts included actionable, evidence-based Teacher Inquiry Practice Supports (TIPS), a series of suggested scaffolds that teachers can use to support students on the practices with which they are struggling. In this study, we investigate how the discursive support patterns from one teacher differed when using the dashboard alerts "without" TIPS followed by "with" TIPS. Findings suggest that TIPS influenced how the teacher incorporated different types of support for her students, and further, that the support given varied across different virtual lab stages. [This paper was published in: "ICLS2022 Proceedings," International Society of the Learning Sciences, 2022, pp. 297-304.]

Published
2022

50. Erasures and Equivalences: Negotiating the Politics of Culture in the OECD's Global Competence Project

Author

Michele Martini and Susan L. Robertson

Abstract

In 2014, the OECD-PISA's Governing Board approved the addition of a set of global competence measures to its Programme of Student Assessment. In our paper, we explore whether and how there are discursive shifts between the two framing papers (2016/2018) and what the outcomes are for policy-shaping. To this end, we employ Network Text Analysis to map shifting semantic configurations. We show that (i) the concept of 'global competence' is radically redefined through the simplification and polarisation of the semantic universe surrounding it, (ii) that the concept 'global' becomes a shifting signifier which enables the establishment of an equivalence between the two studied documents, and that (iii) in this process, concepts such as 'culture' are now erased in the 2018 text. Our findings show the dramatic change of approach between the two documents reinforces a narrative that is familiar to the OECD around knowledge economy proxies.

Published
2024
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