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In recent years, the design of social software UI has become a design research focus in the field of design. Color affects many factors in UI design. However, there is currently no suitable method for effectively selecting colors in social software. In this paper, the color of social software UI design based on BP neural network is selected. The traditional BP neural network (BP), genetic algorithm improved BP neural network (GA-BP) and Mind Evolution Algorithm improved BP neural network (MEA-BP) are analyzed and summarized. Finally, the strong predictor and thought evolution method are used to improve MEA-BP-Adaboost. The experiment proves that the training results of the MEA-BP-Adaboost neural network are very good, and the color difference is reduced by about 30, 26.5 and 35.3%, respectively, compared to the three different BP neural networks. The color selection method based on MEA-BP-Adaboost can more effectively improve the accuracy of color selection in the UI design of social software, while reducing the number of experiments. In the color selection algorithm, the color accuracy rate and recall rate of the seven different colors are basically between 90 and 95%, which can basically achieve the desired effect. This also proves that the usability of BP neural network in social software UI design is very high. The methods involved in this article can be applied to other color space conversion and other image acquisition, display, processing and output devices. It is believed that these research works have certain theoretical guiding significance and practical application value to promote the development of color image color restoration technology.

Enterprise social software platforms (ESSPs) have emerged as an important infrastructure that enables teams to perform in the turbulent business environment. The current study adds to the scanty li...

The importance of gaining insights into informal organizational structures for management purposes is acknowledged by both research and practice. However, “traditional” approaches to analyzing informal organizational social networks involve significant manual effort and do not scale for larger datasets. Enterprise Social Networks (ESN) have emerged as important tools for informal employee interactions, such as for problem-solving and information sharing. While the analysis of ESN back end data might provide insights into the informal fabric of organizations, and in particular employees’ roles in such networks, there is a lack of systematic approaches for carrying out ESN analytics, such as for user role identification. Following a design science research process, a process-based method to identify user roles from ESN data was developed and evaluated. The method’s efficacy is demonstrated through an in-depth application in a case study of Australian professional services firm Deloitte. In doing so the paper shows how ESN data can be utilized to derive metrics that characterize participation behavior, message content, and structural network positions of ESN users.

Contextual privacy is an essential concept in social software communication. Managing privacy of data disclosed in social software dependence strongly on the context the data is disclosed in. The sheer amount of posts and audiences may lead to context ambiguity. Ambiguity can affect contextual privacy management and effective communication. Current contextual privacy management approaches can be either too complex to use, or too simple to offer fine-grained control. In many cases, it is challenging to strike a balance between effective control and ease-of-use. In this article, we analyse contextual privacy by in relation to context and communication. We examine a relevant contextual privacy management framework based on the maintenance of the interpretation of data. We propose an architecture based on the utilisation of intelligent mechanisms. We conceptually analyse the usability aspect of the proposed architecture. We conclude by arguing how our conceptual framework can enhance communication and privacy in private and public spaces.

This paper presents a method for detecting an author’s profile using the following two elements: gender and age. This is based on a set of dialogues, written in two languages: English and Spanish, provided for Author Profiling competence within the evaluation forum "Uncovering Plagiarism, Authorship, and Social Software Misuse" (PAN2018). Counts of lexical, semantic, and syntactic characteristics are used to generate a two-phase classification system, which first classifies gender and then age. The results obtained show that, with the amount of data available, it is possible to characterize both the age and gender of an author with an accuracy greater than 50%. However, these values could be improved by having more evidence of information in the training data.

This chapter focuses on techniques and technologies to aid groups in making decisions, with an emphasis on computer-based support. Many office workers regularly meet colleagues and clients in virtual meetings using videoconferencing platforms, which enable participants to carry out tasks in a manner similar to a face-to-face meeting. The development of computer-based platforms to facilitate group tasks can be traced back to the 1960s, and while they support group communication, they do not directly support group decision making. In this chapter we distinguish four technologies developed to provide support to group decisions, clustered into two main traditions. Technologies in the task-oriented tradition are mainly concerned with enabling participants to complete tasks to solve the group's decision problem via computer-supported communications. Group Decision Support Systems and social software technologies comprise the task-oriented tradition. Alternately, in the model-driven tradition, participants use computers to build and use a model that acts as a referent to communicate, mostly verbally, about the group's decision problem. System modeling and decision-modeling technologies constitute the model-driven tradition. This chapter sketches the history and guiding ideas of both traditions, and describes their associated technologies. The chapter concludes with questioning if increased availability of online tools will lead to increased use of group decision support technologies, and the differential impact of communication support versus decision support.

In the new media era, the diversity and multi-level structure presented by the media have formed the multi-level main diversification of public opinion and circulation channels. The technical system of new media consists of the application system and the supporting system. Application systems include digital magazines, digital newspapers, digital broadcasting, social software, mobile TV and touch media, etc.; supporting systems include digital technology, Internet technology, and communication technology. Broadcasting and hosting in the new media era presents new characteristics such as authenticity, diversity, interactivity, uniqueness, timeliness and aesthetics. Based on the current situation, characteristics and skills of broadcasting and hosting in the new media era, this paper proposes innovative development paths for the broadcasting and hosting style to adapt to the development needs of the new media era.

In the current era of rapid development of big data network intelligence, smart phones have become popular, especially among college students. WeChat has become a must-have social software. College students seriously reject traditional concepts and educational methods, so the learning rate using WeChat is increasing every day. The WeChat public platform is a comprehensive network application platform with powerful advantages. At present, the development of the WeChat public platform in universities, especially in the field of mobile learning, has brought great changes to the way of college students’ online education. The WeChat public platform is convenient Unique advantages such as use, diverse functions, and accurate information are widely used in the field of university education, and a systematic online learning platform has gradually formed to promote the reform of education under the new education method. Explains the close relationship between the WeChat platform and the university's philosophy and social education. Through the application of the WeChat public platform, education is standardized, new status is broadened, and new topics are proposed. The application of the WeChat public platform provides new ideas and education for college students.

As the most popular smart social software at present, WeChat is increasingly used in the field of education, which has had a profound impact on teaching and learning in the information age. The WeChat public platform breaks the boundaries of time and space, allows learning and exchanges anytime, anywhere, and gradually realizes informatized teaching and lifelong learning. This article uses literature research methods and logical analysis research methods, takes college physical education as the research object, analyzes related problems in college physical education at this stage, and attempts to apply WeChat public teaching platform practice research, combined with relevant theoretical knowledge, provide new ideas and new methods for college physical education information teaching.

With Web 5.0, the mobile phone has become the terminal device to get mobile information, and more and more social software has been popularized on the phone. Network short video app is one of the most prominent representatives. In the high demand of the market, short videos’ emergence constantly refreshes people’s horizon, increasing people’s desire to watch videos. For the audience, they not only watch the video but also have to meet social needs. It has led to the rapid expansion of the size of short video apps. Whether it is “Meipai” or “Kuaishou” released in China, or “TikTok” which focuses on 800 million users, or a series of short online video apps such as Instagram abroad, most of them take “second” as the length of the video, announced the short video “second-reading era” of the arrival. Through the video is created a carnival, and the audience has become a carnival maelstrom of followers. We need to analyze what kind of operation and management model shapes short video app development behind the audience. This article chose “TikTok” as a case study to analyze the “TikTok Operation Management Pattern.” The full text comprises 1. apps development, 2. The article has four parts: The first part elaborates the short video app’s development extremely characteristic. In the second part, the author expounds on the operation and management of TikTok. The third part focuses on the content operation and management of TikTok and its characteristics. The last part is about how to improve management operation.

As an information-based teaching tool, educational games that run on mobile phones can effectively improve students' interest in pharmacology learning and solve the problems in pharmacology teaching under the background of vocational education. In this research, the instructional design is based on the MEE model and the teaching implementation using mobile games, online teaching platform app and social software is supported by Internet and smartphone. Before class, learning motivation of students is stimulated after experiencing the work of pharmacists by playing the mobile game and shooting videos. In class, the level of learning motivation is maintained during the process of exploring, practicing and consolidating knowledge through micro-course, video error correction and the mobile game. After class, activities including recording electronic portfolio, publishing tips on WeChat and updating the game help realize the interest extension. This teaching practice is creative and reformative. The application of the model in pharmacology teaching of pharmacy specialty can significantly improve the level of students' learning motivation, which is worthy of promotion.

Based on the background of vocational education and the theory of the ARCS model, this study explores the Motivation-Enhancing Experience Model (MEE Model) which can improve the learning motivation of vocational students combined with information technology and mobile social software as tools, in order to solve the problems of the learning burnout in vocational college. Considering the responsibility of vocational education being to improve skills, the research constructs a model, and clarifies the specific implementation methods and key points. This model uses mobile games, audio and video recording and other information-based means for experience design, applies social software as the carrier to put informationized portfolio evaluation into practice, both of which effectively integrate information technology into vocational education reform. This model has strong pertinence to vocational education and can be widely transferred and applied.

Although rapid advancements of online networking technologies and softwares (e.g., 5G, Internet of Things, Big data) have substantially facilitated our communications with others, the regular face-to-face contact is still an important communication channel in our daily life. Modeling the information diffusion through both online and offline interactions has become a challenging topic that has attracted much attention from the field of industrial informatics. To this end, we characterize the coupling effect of online and offline communication by developing a multilayer network propagation model, which considers three novel aspects: two distinct contagions taking place at two types of social software; competition and dynamic processes between them under the joint influence of individual selection and information dissemination; and information coupling between offline and online social networks. Moreover, a mean-field method is provided to analyze the critical threshold, and extensive Monte Carlo simulations are performed to demonstrate the theoretical predictions and explore the rich dynamical phenomena. Current results are conducive to understanding the transmission of information or epidemic spreading within the structured population, and further motivating the design of networked hardware and software with high performance.

The present article aims to disclose the role of task–individual–social software fit (TISF) in knowledge creation in the context of the manufacturing and service industries and research institutes. The methodology used is an empirical study that proposes and examines the proposed research model. The mediation effect of structural social exchange is also explored. Results of the data analysis of 279 valid samples reveal the following findings. First, the effect of TISF is confirmed. Second, structural exchanges do not mediate the role of TISF toward creation performance. Third, TISF is significantly associated with the social software, creation task, and individual cognition variables. Lastly, goal-free and goal-frame creation modes and analytical and intuitive cognition styles significantly influence the fit of features of creation task, individual cognition, and social software. The article provides domain scholars and practitioners with value of the task–individual–social software fit in the context of knowledge creation. Discussion and implications are also presented in this article.

In the higher education sector, a new era has begun with the advent of ubiquitous learning environments. Ubiquitous learning tools allow improving context-aware as well as learning experiences by offering seamless availability regardless of location all the time. They also help in establishing effortless interaction between authentic and digital learning resources and at the same time offering personalised learning opportunities as well. There are numerous available ubiquitous e-learning tools that can be employed in higher education. E-learning tools also offer training and higher education to many students that have different higher educational levels and come from diverse cultural backgrounds. However, if the capabilities of e-learning are underestimated, these may not be successful in higher education. Some of the people lack understanding about the limitations and weaknesses of e-learning, while some may have superfluous expectations. In this paper, various e-learning tools like Wikipedia, MOODLE, Web 2.0, Web 3.0 and Blackboard have been evaluated. We also comment on key aims regarding each tool and investigate the disadvantages and advantages. Based on this analysis, a global view regarding the current as well as future tendencies pertaining to ubiquitous e-learning tools is obtained and thus possible key comments are provided for employing e-learning tools like MOODLE, Web 2.0 and Web 3.0 in the classroom. Based on our teaching experience, MOODLE was found to be efficient in the development of e-learning. MOODLE was favoured by a majority of authors and practitioners rather than Blackboard. However, MOODLE cannot be considered a fully pure social software since it does not include social networks. In this review, the scope of employing ubiquitous learning environments has been presented in higher education contexts. However, it increases the requirement for transparent research that shows practical implications to generalise future development processes. Moreover, it was shown that e-learning 3.0 is one amongst the key trends employing Web 3.0 tools for social learning. Also, on the Internet, quick incorporation of new services into existing applications like integrating Wiki with Web 3.0 can be done easily. The primary risk here would be the fact that lecturers and students are not fully aware that these web services are not controlled by their universities. Since these servers have been installed in many different countries, the principles and privacy laws vary from country to country.

Companies are required to have good management, systems and performance in order to survive in today’s competitive business. BPM (Business Process Management) and KM (Knowledge Management) implementation can help organizations improve their capabilities through the use of individual knowledge resources and better organizational collective knowledge. In unstructured and constantly changing processes, traditional BPM often encounters problems because of the deviation between the model process and the reality of its implementation, as well as failure to improve ideas and innovation to the end user of the BPM process. This problem can be solved by encouraging various stakeholders to participate actively to BPM implementation. Using social software on BPM initiatives can actively involve all relevant stakeholders and assist in the knowledge management process. This research follows several steps i.e. reviewing the literature, formulation problems, analyzing results from the literature and finally proposing a conceptual model. The results of this paper are the conceptual model for using social software that will affect Business Process Management and Knowledge Management. This conceptual model is expected to open opportunities for further research in the field of social software, BPM and KM.

With the development of the world, people rely on their mobile phone to get information in spite of that most of the information are fragmented. So many people can not get the whole picture. This research aims to develop a mobile learning system in English Grammar teaching as well as make an evaluation system on this learning. The research was carried in Geely University of China in Chengdu, Sichuang Province and the samples are university freshmen.

Faced with the widespread popularity of social software in the current society, the traditional way of impressing others through face-to-face transmission has been subverted. Taking story sharing in Wechat Moments as an example, the transmission of character images has broad research prospects. Based on the basic theories and concepts of information theory, this paper conducts an in-depth exploration of the transmission mechanism of the character images in Wechat Moments, convenes experimental subjects to carry out practical experiments, and sets up images in different people with text, songs, pictures and links four different media and mixed schemes of them. The analysis and discussion of the role of the transmission mechanism has resulted in interesting and enlightening inferences, which will have long-term guiding significance for the way people express on social platforms in the future.

Even though knowledge work comprises tasks that cannot be modeled a priori, some structure for routine work or an outlined course of action is often necessary. Knowledge workers perform structured and ad-hoc activities – and a wide range of requirements typically yields many tools. To avoid redundant and scattered process information, a single system of record capable of consolidating flexibility and modeling of different aspects of processes is desirable. For knowledge-intensive processes, we outline how to combine process models for structured routine aspects with the ad-hoc activities and flexibility of social software in the same context. Therefore, a case comprises modeled subprocesses as well as ad-hoc activities and artifacts. The shared context allows to transparently combine aspects and deviate from predefined models. We prototypically implement our approach and show that ad-hoc project management and different notations can be applied within the same case.

With the widespread use of mobile social software, QR code plays an important role in acquiring messages from offline to online. However, the plain black and white blocks of QR code cannot attract users in social software, thus some popular software like Wechat beautify the QR code to improve its visual appeal. Inspired by the mentioned fact, this paper proposes a novel 2D image code named FaceCode. FaceCode is a Convolution Neural Network (CNN) based framework to embed information into a picture and beautify it simultaneously. For an input picture, FaceCode firstly uses a style transfer neural network to make the picture artistic, and then an embedding network cascading to the style transfer network embeds the personal information of users into the picture. The information is invisible but can be recognized by a phone camera. With the help of FaceCode, the users can hide their personal information in their profile pictures in social software. Experiments show that FaceCode can generate personalized profile pictures while maintaining the accuracy of recognizing the hidden information.

The Internet has been developing rapidly, and the way people get information is also developing, and image information is becoming more and more important in social media. The post-95 generation is the main user of the Internet and is most influenced by the Internet. In social media information, color information is very important and has strong guidance for users. This article focuses on the color preferences of the post-95 generation on social media. We collect the information of images shown by the post-95 generation on social media, analyze the uniqueness they show, use different methods to collect the information, and then analyze the color information, and finally get the color preferences of the post-95 generation on social media.

At present, in the investigation stage, public security organs, procuratorial organs and people's courts often need to conduct electronic data forensics analysis on criminals' WeChat and other social software to obtain sensitive information. This paper proposes a forensic analysis method based on chat history data of Wechat on Android smart phone. By using an Improved Naive Bayes Algorithm with redefinable the weights of the feature words, an improved Naive Bayes Classifier (NBC) model is established. The classifier is used to classify the chatting texts in WeChat, in order to find the sensitive information in the chatting texts efficiently. Experiments show that this model can improve the efficiency of acquiring sensitive information in WeChat, and has obvious effects on saving evidence collection time and improving the efficiency of criminal detection.

Jump & Jump, what is an arcade game launched on the WeChat platform (a social software in China) at the end of 2017 by Tencent. The game was all the rage shortly after it was launched and becoming a hot topic for both users and media, which then later loses such spotlights just after a few months. The objective of this paper is to reveal the reasons for the Jump & Jump game to be phenomenal and downfall while finding its possible enhancement. The entertainment assessment of Jump & Jump game is performed by using the game refinement theory. Previous works on game refinement theory have shown that it is a reliable measurement tool for evaluating the game's entertainment where the sophistication of games can be determined. Hence, through the investigation of GR's measure of different level players (the level of players is expressed by $L\in[0.1,0.9])$ . it can be concluded that the Jump & Jump game is a game that gamified sports training, where possible enhancement is established to improve the game as well as potential design direction of an arcade game.

This article is aimed at various academic social software or platforms. On the "WeChat Mini Programs Contact Cards", a multi-interface interconnected convenient platform is established to realize the construction of the professional "Moments of Academic" on the widest basis. "WeChat Mini Programs", "python", "MySQL" and other tools are used to complete the strategy construction and program design by comparing the China and other regions development status with the goal of a virtuous cycle of "achievements display-scholars update-platform growth".

Network worms have become a critical security threat to the Internet in recent years. Due to highly non-uniform distribution of vulnerable hosts and the wide application of NAT technique, they restrain the spread of traditional scan-based worm to some extent. With the rapid growth of social software, worms can spread from physical networks to social networks. Though social worms fix scanning worm deficiencies, it cannot hit some hosts not in social networks because of the dependence on the topological structure. Modern hybrid worm combines the advantages of two types of worms. On the one hand, it makes use of important scanning which results from Important Sample in statistics that scan IP-address space. On the other hand, it exploits a reinfection-trigger mechanism in social networks. Because of the potential damages, it is important for us to gain a deep understanding of the propagation dynamics of modern hybrid worm. In this paper, we present an analytical Hierarchical-Hybrid Propagation (H2P) model for characterizing worm propagation. We perform comprehensive theoretical analyses and experimental evaluation to validate our simulation model. The results show that our model presented in this paper achieves a greater accuracy in characterizing the propagation of modern hybrid worms.

Web 2.0 technologies have not only raised microblogs, but also social software development and collaboration platforms. GitHub is the most popular software development platform that provides social collaboration. Within the scope of this study, a novel graph-based analysis model is proposed which targets to reveal (1) the characteristics of the GitHub in order to shed light on social software development in general, and (2) the most popular programming languages, repositories, and developers in order to shed light on the trending software development technologies. To this end, a subset of the GitHub network, which contains 84, 737 developers and 209, 100 repositories, was collected through the GitHub API and stored on a graph database namely neo4j to be later analyzed. The result of the analysis shows that (1) the connections in GitHub are not mutually linked, (2) JavaScript, Python, and Java are currently the most popular three programming languages, (3) You-Dont-Know-JS, oh-my-zsh, and public-apis are the most popular three repositories, and (4) TarrySingh (Tarry Singh), indrajithbandara (Indrajith Bandara), and rootsongjc (Jimmy Song) are the most popular three developers. Furthermore, the proposed novel analysis model can be easily applied to other social networks. WOS:000598694600001 2-s2.0-85097933612

In recent years, the frequency of organizational change increased due to internal innovation and external forces. Classical enterprise life cycle theories expect infrequent, large-scale implementations that lead to costly and risk-intensive shakedowns after implementation. Currently, most process support systems turn to cloud solutions, and integrated systems are used as one consolidated enterprise system (ES). Processes and organizational routines are the unit of analysis for organizational change, and the BPM life cycle captures the phases involved in changing them. We apply the perspective of an ES vendor to enable sustained support within the same ES, despite inevitable change. Hence, for each phase, we identify integral and supporting capabilities, and derive corresponding features in an ES. This view is also useful to potential users to analyze vendors in regard to capabilities for expected change.

Purpose The purpose of this paper to investigate the current information systems security (ISS) practices of the social software application (SSA) users via the internet. Design/methodology/approach The paper opted for a systematic literature review survey on ISS and its practices in SSAs between 2010 and 2015. The study includes a set of 39 papers from among 1,990 retrieved papers published in 35 high-impact journals. The selected papers were filtered using the Publish or Perish software by Harzing and Journal Citation Report (JCR) with an inclusion criterion of least one citation per article. Findings The practice of ISS is driven by the need to protect the confidentiality, integrity, and availability of the data from being tampered. It is coherent with the current practice as reported by many researchers in this study. Four important factors lead to the ISS practice in SSA: protection tools offered, ownership, user behaviour, and security policy. Practical implications The paper highlights the implication of successful ISS practices is having clear security purpose and security supported environment (user behaviour and security protection tools) and governance (security policy and ownership) protection tools offered, ownership, user behaviour, and security policy towards ISS practice by the users. Originality/value This paper fulfils an identified need to study how to enable ISS practice.

This paper describes an innovative approach for information integration, which was successfully implemented and evaluated in a pilot company. This new form of information integration aims at giving employees access to relevant information that is stored in different heterogeneous information systems with the help of a single, uniform software interface. The idea of information integration as such is not new and a variety of technical approaches have been developed in the past. Our approach differs from previous ones in that it makes use of the design principles of “social software” (profiles, networks, activity streams, comments); it is based on the idea of treating Business Objects in the Enterprise Information Systems like members of a Social Network. We are introducing this new view on the profiles and relationships between information objects, which we call the “Social Network of Business Objects” (SoNBO). The user receives the information through the Enterprise Social Software by means of ad hoc queries in the databases of existing information systems thus fulfilling spontaneous needs for information in real-time.

Purpose The purpose of this paper is to assess the state of the art of social business process management (Social BPM), explaining applied approaches, existing tools and challenges and to propose a research agenda for encouraging further development of the area. Design/methodology/approach The methodology comprises a qualitative analysis using secondary data. The approach relies on searches of scientific papers conducted in well-known databases, identifying research work related to Social BPM solutions and those contributing with social characteristics to BPM. Based on the identified papers, the authors selected the most relevant and the latest publications, and categorized their contributions and findings based on open and selective coding. In total, the analysis is based on 51 papers that were selected and analyzed in depth. Findings Main results show that there are several studies investigating modeling approaches for socializing process activities and for capturing implicit knowledge possessed and used by process actors, enabling to add some kind of flexibility to business processes. However, despite the proven interest in the area, there are not yet adequate tools providing effective solutions for Social BPM. Based on our findings, the authors propose a research agenda comprising three main lines: contributions of social software (SS) to Social BPM, Social BPM as a mechanism for adding flexibility to and for discovering new business processes and Social BPM for enhancing business processes with the use of new technologies. The authors also identify relevant problems for each line. Practical implications Some SS tools, like wikis, enable managing social aspects in executing business processes and can be used to coordinate simple business processes. Despite they are commonly used, they are not yet mature tools supporting Social BPM and more efficient tools are yet to appear. The lack of tools preclude organizations from benefitting from implicit knowledge owned by and shared among business process actors, which could contribute to better-informed decisions related to organizational processes. In addition, more research is needed for considering Social BPM as an approach for organizations to benefit from the adoption of new technologies in their business processes. Originality/value The paper assesses the state of the art in Social BPM, an incipient area in research and practice. The area can be defined as the intersection of two bigger areas highly relevant for organizations; on the one hand, the management and execution of business processes; and on the other hand, the use of social software, including social media tools, for leveraging on implicit knowledge shared by business process actors to improving efficiency of business processes.

Most studies focused on the introduction of new technologies have not investigated the psychological factors affecting the willingness to use them or conducted empirical studies to explore whether willingness and actual construction safety knowledge-sharing behavior are associated with fewer construction incidents. We conducted face-to-face and LinkedIn open-ended interviews as well as a global survey to study the willingness and actual behavior to share construction knowledge via social software Web 2.0, Internet of Things (IoT) and mobile apps. Then, the Partial Least Square-Structural Equation Model (PLS-SEM) for willingness and actual knowledge-sharing behavior, as well as the Multilayer Perceptron (MLP) Neural Network were used to illustrate the effect of various factors on predicting the willingness to share knowledge via Web 2.0, mobile apps and IoT. Results of the interviews found that practitioners use IoT for knowledge sharing, mainly because they do not want to fall behind the curve. PLS-SEM and MLP revealed that practitioners share construction safety knowledge are not driven by safety-related reasons such as safety awareness enhancement but perceived organization support from their companies. Employees who agree that their organization cared about their employees&rsquo, well-being was the strongest predictor in influencing people&rsquo, s decision to use tools for knowledge sharing. Moreover, many respondents claimed that factors such as monetary rewards have little impact on motivating people to use tools for knowledge sharing.

Some researchers have linked the social software usage like social media, wikis, blogs, instant messaging, forums and corporate social networks with the process of knowledge sharing. They also found that the application of social software that can provide positive results in the knowledge sharing process. The purpose of this research is to provide insights into state-of-the-art research on the use of social software to support the knowledge sharing process. This research is conducted to answer (i) how the general description of the knowledge sharing process is and (ii) how social software helps the process of knowledge sharing. The method used in this research is the Systematic Literature Review (SLR) where synthesizing related papers sourced from the ScienceDirect journal database. Searching related papers using certain keywords obtained 865 papers. Then 85 papers were selected after applying the inclusion and exclusion criteria. Following a more rigorous papers quality assessment, 20 papers are selected for further analyses. Based on the analysis, we found a general description of knowledge sharing. This paper also describes how social software can support the process of sharing knowledge, and some influencing factors. That factors influencing the level of orientation and knowledge sharing activities on social media, and divided into individual and social factors. Besides that, there are several other factors related but have not been clearly classified yet. Also, we found Social Networking Sites (SNS) as the type of social software that often used and this topic frequently discussed in organization scope.

Nowadays, the progress of the communication technology is fast. With the popularity of smart phones, tablets and computers, social networking sites or social software have also developed rapidly, changing the user's habit of using network communication software. The demand for streaming audio and video communication has increased dramatically, resulting in the maturity of the Internet today. At present, we can know that there are a variety of applications that can be talked on the market, such as LINE, Skype, Hangouts, etc., which can make instant calls. In the era of the Internet, the communication software has shortened the dispersion in the world. The distance between people everywhere. This research implements a web-based instant messaging architecture of WebRTC (Web Real-Time Communication, WebRTC) built on a container. We solved the concatenation problem caused by constructing WebRTC services on the container and sought to improve the performance. WebRTC can directly provide instant video and audio communication technology, and cooperate with ICE mechanism to communicate on different domains. No additional Plug-in is needed, only web browser can realize instant messaging function through web browser. It saves a lot of complicated steps, such as: install the user user, and so on. Our system also implements a load balancing mechanism that distributes traffic across the TURN Server, improving overall system performance.

In recent years, with the advent of the third wave of artificial intelligence, a large number of new technologies have been applied in social software and information services, such as big data collection and analysis, pattern recognition and user behavior prediction. The subsequent impact of mobile new media on a new generation of young people and the entire society has become one of the most promising and research issues. This paper obtains relevant data through online and offline surveys and authoritative organizations, uses Cronbach alpha coefficient to verify the validity of the survey results. The Spearman Rank correlation coefficient is calculated to analyze the relationship between the grade level of college students, the degree of influence on mobile new media and the duration of using mobile new media. Based on BP neural network and Elman neural network, the two models are combined by the optimal weighting method to predict the arrival rate of mobile new media information, and the conclusion based on quantitative analysis of mathematical model is given. The results show that the arrival rate of new media information on different platforms is on the rise in the future.

With the application and popularity of social software, online social networks have become crucial for group security research. The social network community detection algorithm can divide the target group into different sub-communities according to the attributes and structure of the group members. Based on the ego network community detection algorithm, this paper adopts the method suitable for graph structure, and integrates the idea of cluster validity index with the community detection algorithm to complete the selection of the optimal number of communities. And compared three kinds of cluster validity indexes, this paper solves the problem that the number of communities needs to be artificially specified, and improves the accuracy of the community detection algorithm. Thus, targeted social network community detection becomes more practical.

International audience; The emergence of new technologies has brought significant changes in teaching and learning environment in higher education institutions. One among the technologies that is being integrated in teaching and learning in higher learning institutions is Web 2.0. Web 2.0 is defined as “an increased emphasis on user generated content, data and content sharing and collaborative effort, together with the use of various kinds of social software, new ways of interacting with web-based applications, and the use of the web as a platform for generating, re-purposing and consuming content” [1]. This paper highlights how Web 2.0 such as Learning Management System (LMS), Google drive, social media that have been integrated in the teaching-learning in the State University of Zanzibar (SUZA). It also explores some findings from students based on their perception of Web 2.0 integration. Finally, it pinpoints challenges encountered during the integration and what should be done to ensure the full integration of web 2.0 at SUZA.

This chapter addresses the potential to build geolocated narratives using social software facilitated through Web 2.0. The development of these narratives can provide a richer information resource for better understanding human landscapes. The chapter will provide a general background to the theory of such undertakings and also give examples of applications that are generating products in a collaborative manner, whereby the digital narratives are ‘provisioned’ through contributions via Web 2.0.

With the development of the technology, social software such as Facebook, Twitter, YouTube, QQ, WeChat has also achieved great development. According to the existing data, in the first quarter of 2018, WeChat’s monthly number has reached 1 billion [1]. At the same time, these large-scale nodes also carry a large amount of external information such as texts and pictures, forming a complex information network. Information networks are widely used in real life and have enormous academic and economic value. Academically, artificial intelligence, big data, deep learning and other technologies are developing rapidly. Large and complex neural networks and complex information networks urgently need to make a reasonable analysis of data [2]. In terms of application value, information networks and social networks also have a wide range of application scenarios, such as recommendation systems, community discovery and other tasks [3]. Therefore, the research and application of complex information networks is a hot issue in the field of artificial intelligence, and it is necessary to study it.

Social BPM allows for businesses to adapt and be flexible to ever changing demands. This flexibility is created by the participation and collaboration between users. These interactions are achieved through the successful implementation of Social BPM. This paper will propose critical success factors (CSF) which lead to a successful Social BPM implementation such that these benefits are realised. This is a progress paper which is part of a broader method which will validate against the literature, expert opinions and case studies in order to produce a definitive set of CSFs for Social BPM.

With the popularization of network and the improvement of network speed, social network application plays an increasingly important role in people’s social life. People express their opinions and ask their own questions on social software, and these huge amounts of data drive researchers to propose various algorithms to extract the information in sentences and classify them. In this paper, we proposed a novel method of sentence similarity computation, which purpose is to extract the syntactic and semantic information of semi-structured and structured sentences and calculate their similarity. We mainly consider the subject predicate and object of sentence pairs, and use Stanford parser to classify Dependency Relation Triples to calculate the syntactic and semantic similarity between two sentences. Extensive simulations demonstrated that our method outperforms the other state-of-the-art methods in terms of correlation coefficient and mean deviation.

We propose a multimedia interactive installation to be implemented at the 2nd African Conference for Human Computer Interaction that takes place in both a virtual and physical space. The installation utilizes educational social software, a face to face activity and a joint work space as collaborative technologies. It follows a socio-cultural approach to collaborative learning and utilizes a taxonomic design framework of collaborative learning support. The participants will be the conference delegates. The installation aims to function as an artifact for mediating shared understanding, to cultivate community building, as well as to function as a unit of analysis for future research. This responds thematically to the lack of African voices in the discussion of technology in Africa, and theoretically to the successful use of collaborative technologies in complex contexts.

A real-time communication social software based on XMPP is designed on iOS. On the iOS devices, users can use the software to share their message such as text, pictures, voice and video. It meets the needs of modern people for message sharing. The interface of this software is concise and modular, user-friendly to understand and use.

The expansion of the new media platform has further stimulated the diversified development of content production, with various media permeating each other and products merging with each other, thus broadening the depth of media. With the rapid popularization of the Internet and the wide application of social software, the social environment has become more free and efficient. People use mobile multimedia to realize free communication from space, express their right to speak effectively, and change the way people get information. With the continuous development of network economy, all kinds of short videos have gradually appeared in modern people’s life, adding fun to the people’s lifestyle and enriching the forms of people’s life and entertainment. Only by exploring the construction of short video communication mode can we better reveal the real veil of how short video is popular in the new media era. This paper starts with the phenomenon of mobile short video transmission, studies and analyzes the problems of mobile short video platform, and explores the coping strategies for its development.

With the ever-increasing popularity of social software, we can easily establish a s igned s ocial n etwork (SSN) by capturing users’ attitudes (i.e., trust/distrust, friend/enemies, consent/opposition) toward other people. However, the social relationships among users are often very sparse in an SSN, which impede the effective extension of the users’ social circle significantly. To tackle this issue, researchers often use link prediction methods to search for missing links and predict new links in the network. However, existing link prediction methods cannot protect user’s private information well. Considering this shortcoming, we propose a Simhash-based link prediction method with privacy-preservation. Concretely, we first apply Simhash to build less-sensitive user indices and then determine the ”probably similar” friends (i.e., candidates) of a target user based on his or her indices. Through theoretical analysis, it can be known that the method proposed in this paper can effectively protect users’ proprietary information. Second, for each candidate, we calculate his/her trust and distrust values with the target user. Third, we use Social Balance Theory to evaluate the possibility of building a link between the candidate and the target user based on the trust and distrust values. Finally, we conducted a set of experiments on the real-world Epinions dataset. Experimental results prove the advantages of our proposal in terms of overcoming the sparsity problem, compared to other competitive approaches.