Download or read book Learning from Multiple Social Networks written by Liqiang Nie and published by Springer Nature. This book was released on 2022-05-31 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the proliferation of social network services, more and more social users, such as individuals and organizations, are simultaneously involved in multiple social networks for various purposes. In fact, multiple social networks characterize the same social users from different perspectives, and their contexts are usually consistent or complementary rather than independent. Hence, as compared to using information from a single social network, appropriate aggregation of multiple social networks offers us a better way to comprehensively understand the given social users. Learning across multiple social networks brings opportunities to new services and applications as well as new insights on user online behaviors, yet it raises tough challenges: (1) How can we map different social network accounts to the same social users? (2) How can we complete the item-wise and block-wise missing data? (3) How can we leverage the relatedness among sources to strengthen the learning performance? And (4) How can we jointly model the dual-heterogeneities: multiple tasks exist for the given application and each task has various features from multiple sources? These questions have been largely unexplored to date. We noticed this timely opportunity, and in this book we present some state-of-the-art theories and novel practical applications on aggregation of multiple social networks. In particular, we first introduce multi-source dataset construction. We then introduce how to effectively and efficiently complete the item-wise and block-wise missing data, which are caused by the inactive social users in some social networks. We next detail the proposed multi-source mono-task learning model and its application in volunteerism tendency prediction. As a counterpart, we also present a mono-source multi-task learning model and apply it to user interest inference. We seamlessly unify these models with the so-called multi-source multi-task learning, and demonstrate several application scenarios, such as occupation prediction. Finally, we conclude the book and figure out the future research directions in multiple social network learning, including the privacy issues and source complementarity modeling. This is preliminary research on learning from multiple social networks, and we hope it can inspire more active researchers to work on this exciting area. If we have seen further it is by standing on the shoulders of giants.
Download or read book Broad Learning Through Fusions written by Jiawei Zhang and published by Springer. This book was released on 2019-06-08 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and machine learning. Broad learning aims at fusing multiple large-scale information sources of diverse varieties together, and carrying out synergistic data mining tasks across these fused sources in one unified analytic. This book takes online social networks as an application example to introduce the latest alignment and knowledge discovery algorithms. Besides the overview of broad learning, machine learning and social network basics, specific topics covered in this book include network alignment, link prediction, community detection, information diffusion, viral marketing, and network embedding.
Download or read book The Oxford Handbook of the Economics of Networks written by Yann Bramoullé and published by Oxford University Press. This book was released on 2016-03-01 with total page 857 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Oxford Handbook of the Economics of Networks represents the frontier of research into how and why networks they form, how they influence behavior, how they help govern outcomes in an interactive world, and how they shape collective decision making, opinion formation, and diffusion dynamics. From a methodological perspective, the contributors to this volume devote attention to theory, field experiments, laboratory experiments, and econometrics. Theoretical work in network formation, games played on networks, repeated games, and the interaction between linking and behavior is synthesized. A number of chapters are devoted to studying social process mediated by networks. Topics here include opinion formation, diffusion of information and disease, and learning. There are also chapters devoted to financial contagion and systemic risk, motivated in part by the recent financial crises. Another section discusses communities, with applications including social trust, favor exchange, and social collateral; the importance of communities for migration patterns; and the role that networks and communities play in the labor market. A prominent role of networks, from an economic perspective, is that they mediate trade. Several chapters cover bilateral trade in networks, strategic intermediation, and the role of networks in international trade. Contributions discuss as well the role of networks for organizations. On the one hand, one chapter discusses the role of networks for the performance of organizations, while two other chapters discuss managing networks of consumers and pricing in the presence of network-based spillovers. Finally, the authors discuss the internet as a network with attention to the issue of net neutrality.
Download or read book Learning to Rank on Anchor Link Across Multiple Heterogeneous Social Networks written by 陳世穎 and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Social Network Analysis and Education written by Brian V. Carolan and published by SAGE Publications. This book was released on 2013-03-14 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social Network Analysis and Education: Theory, Methods & Applications provides an introduction to the theories, methods, and applications that constitute the social network perspective. Unlike more general texts, this applied title is designed for those current and aspiring educational researchers learning how to study, conceptualize, and analyze social networks. Brian V. Carolan's main intent is to encourage you to consider the social network perspective in light of your emerging research interests and evaluate how well this perspective illuminates the social complexities surrounding educational phenomena. Relying on diverse examples drawn from the educational research literature, this book makes explicit how the theories and methods associated with social network analysis can be used to better describe and explain the social complexities surrounding varied educational phenomena.
Download or read book Introducing Social Networks written by Alain Degenne and published by SAGE. This book was released on 1999-06-09 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This first-rate introduction to the study of social networks combines a hands-on manual with an up-to-date review of the latest research and techniques. The authors provide a thorough grounding in the application of the methods of social network analysis. They offer an understanding of the theory of social structures in which social network analysis is grounded, a summary of the concepts needed for dealing with more advanced techniques, and guides for using the primary computer software packages for social network analysis.
Download or read book Social Networks with Rich Edge Semantics written by Quan Zheng and published by CRC Press. This book was released on 2017-08-15 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social Networks with Rich Edge Semantics introduces a new mechanism for representing social networks in which pairwise relationships can be drawn from a range of realistic possibilities, including different types of relationships, different strengths in the directions of a pair, positive and negative relationships, and relationships whose intensities change with time. For each possibility, the book shows how to model the social network using spectral embedding. It also shows how to compose the techniques so that multiple edge semantics can be modeled together, and the modeling techniques are then applied to a range of datasets. Features Introduces the reader to difficulties with current social network analysis, and the need for richer representations of relationships among nodes, including accounting for intensity, direction, type, positive/negative, and changing intensities over time Presents a novel mechanism to allow social networks with qualitatively different kinds of relationships to be described and analyzed Includes extensions to the important technique of spectral embedding, shows that they are mathematically well motivated and proves that their results are appropriate Shows how to exploit embeddings to understand structures within social networks, including subgroups, positional significance, link or edge prediction, consistency of role in different contexts, and net flow of properties through a node Illustrates the use of the approach for real-world problems for online social networks, criminal and drug smuggling networks, and networks where the nodes are themselves groups Suitable for researchers and students in social network research, data science, statistical learning, and related areas, this book will help to provide a deeper understanding of real-world social networks.
Download or read book Social Network Analytics written by Nilanjan Dey and published by Academic Press. This book was released on 2018-11-16 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social Network Analytics: Computational Research Methods and Techniques focuses on various technical concepts and aspects of social network analysis. The book features the latest developments and findings in this emerging area of research. In addition, it includes a variety of applications from several domains, such as scientific research, and the business and industrial sectors. The technical aspects of analysis are covered in detail, including visualizing and modeling, network theory, mathematical models, the big data analytics of social networks, multidimensional scaling, and more. As analyzing social network data is rapidly gaining interest in the scientific research community because of the importance of the information and insights that can be culled from the wealth of data inherent in the various aspects of the network, this book provides insights on measuring the relationships and flows between people, groups, organizations, computers, URLs, and more. Examines a variety of data analytic techniques that can be applied to social networks Discusses various methods of visualizing, modeling and tracking network patterns, organization, growth and change Covers the most recent research on social network analysis and includes applications to a number of domains
Download or read book Computational Social Networks written by Ajith Abraham and published by Springer Science & Business Media. This book was released on 2012-06-28 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, with a specific focus on practical tools, applications, and open avenues for further research (the other two volumes review issues of Security and Privacy, and Mining and Visualization in CSNs). Topics and features: presents the latest advances in CSNs, and illustrates how organizations can gain a competitive advantage by applying these ideas in real-world scenarios; discusses the design and use of a wide range of computational tools and software for social network analysis; describes simulations of social networks, the representation and analysis of social networks, and the use of semantic networks in knowledge discovery and visualization; provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology.
Download or read book Multilayer Social Networks written by Mark E. Dickison and published by Cambridge University Press. This book was released on 2016-07-19 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book unifies and consolidates methods for analyzing multilayer networks arising from the social and physical sciences and computing.
Download or read book Socializing the Classroom written by Susan B. Barnes and published by Lexington Books. This book was released on 2012 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Socializing the Classroom: Social Networks and Online Learning, by Susan B. Barnes, examines how social media can be used in education through two research grants and real-world applications. Barnes analyzes social media including Facebook, Courseware, and Second Life, while providing a theoretical foundation for examining social software. A new generation of students is surrounded by digital technologies, leading scholars and teachers to consider virtual worlds to engage students. By bringing together human-computer-interaction theories with social theory, Socializing the Classroom creates a theoretical foundation for future research in the area of social media, online learning technologies, and the development of social networks. Readers will gain a better understanding of how students use online learning environments to communicate task-oriented messages and maintain social interactions. This is an essential text for scholars, students, and those interested in social networks and the implementation of technology in education.
Download or read book Multilayer Social Networks written by Mark E. Dickison and published by . This book was released on 2016 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book covers the modeling, analysis and mining of systems made of multilayer social networks, from groups of individuals connected through different types of relationships to large systems of multiple online social network sites. A range of practical and theoretical topics are covered, from data collection, pre-processing, measuring and mining to theoretical models behind the evolution of interconnected social networks and dynamical processes like information spreading"--
Download or read book Research Anthology on Usage Identity and Impact of Social Media on Society and Culture written by Management Association, Information Resources and published by IGI Global. This book was released on 2022-06-10 with total page 1378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Much of the world has access to internet and social media. The internet has quickly become a new hub for not only communication, but also community development. In most communities, people develop new cultural norms and identity development through social media usage. However, while these new lines of communication are helpful to many, challenges such as social media addiction, cyberbullying, and misinformation lurk on the internet and threaten forces both within and beyond the internet. The Research Anthology on Usage, Identity, and Impact of Social Media on Society and Culture is a comprehensive resource on the impact social media has on an individuals’ identity formation as well as its usage within society and cultures. It explores new research methodologies and findings into the behavior of users on social media as well as the effects of social media on society and culture as a whole. Covering topics such as cultural diversity, online deception, and youth impact, this major reference work is an essential resource for computer scientists, online community moderators, sociologists, business leaders and managers, marketers, advertising agencies, government officials, libraries, students and faculty of higher education, researchers, and academicians.
Download or read book Social Media and Networking Concepts Methodologies Tools and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2015-07-31 with total page 2337 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the digital era, users from around the world are constantly connected over a global network, where they have the ability to connect, share, and collaborate like never before. To make the most of this new environment, researchers and software developers must understand users’ needs and expectations. Social Media and Networking: Concepts, Methodologies, Tools, and Applications explores the burgeoning global community made possible by Web 2.0 technologies and a universal, interconnected society. With four volumes of chapters related to digital media, online engagement, and virtual environments, this multi-volume reference is an essential source for software developers, web designers, researchers, students, and IT specialists interested in the growing field of digital media and engagement. This four-volume reference includes various chapters covering topics related to Web 2.0, e-governance, social media activism, internet privacy, digital and virtual communities, e-business, customer relationship management, and more.
Download or read book Machine Learning Techniques for Online Social Networks written by Tansel Özyer and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers tools in the study of online social networks such as machine learning techniques, clustering, and deep learning. A variety of theoretical aspects, application domains, and case studies for analyzing social network data are covered. The aim is to provide new perspectives on utilizing machine learning and related scientific methods and techniques for social network analysis. Machine Learning Techniques for Online Social Networks will appeal to researchers and students in these fields.
Download or read book E commerce written by Kyeong Kang and published by BoD – Books on Demand. This book was released on 2010-02-01 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: E-commerce provides immense capability for connectivity through buying and selling activities all over the world. During the last two decades new concepts of business have evolved due to popularity of the Internet, providing new business opportunities for commercial organisations and they are being further influenced by user activities of newer applications of the Internet. Business transactions are made possible through a combination of secure data processing, networking technologies and interactivity functions. Business models are also subjected to continuous external forces of technological evolution, innovative solutions derived through competition, creation of legal boundaries through legislation and social change. The main purpose of this book is to provide the reader with a familiarity of the web based e- commerce environment and position them to deal confidently with a competitive global business environment. The book contains a numbers of case studies providing the reader with different perspectives in interface design, technology usage, quality measurement and performance aspects of developing web-based e-commerce.
Download or read book Social Media Analytics for User Behavior Modeling written by Arun Reddy Nelakurthi and published by CRC Press. This book was released on 2020-01-21 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: Winner of the "Outstanding Academic Title" recognition by Choice for the 2020 OAT Awards. The Choice OAT Award represents the highest caliber of scholarly titles that have been reviewed by Choice and conveys the extraordinary recognition of the academic community. In recent years social media has gained significant popularity and has become an essential medium of communication. Such user-generated content provides an excellent scenario for applying the metaphor of mining any information. Transfer learning is a research problem in machine learning that focuses on leveraging the knowledge gained while solving one problem and applying it to a different, but related problem. Features: Offers novel frameworks to study user behavior and for addressing and explaining task heterogeneity Presents a detailed study of existing research Provides convergence and complexity analysis of the frameworks Includes algorithms to implement the proposed research work Covers extensive empirical analysis Social Media Analytics for User Behavior Modeling: A Task Heterogeneity Perspective is a guide to user behavior modeling in heterogeneous settings and is of great use to the machine learning community.
