Learning From Multiple Social Networks
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Learning From Multiple Social Networks
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Author : Liqiang Nie
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Learning From Multiple Social Networks written by Liqiang Nie and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.
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.
Learning From Multiple Social Networks
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Author : Liqiang Nie
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2016-04-21
Learning From Multiple Social Networks written by Liqiang Nie and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-21 with Computers categories.
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.
Research Anthology On Usage Identity And Impact Of Social Media On Society And Culture
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2022-06-10
Research Anthology On Usage Identity And Impact Of Social Media On Society And Culture written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-10 with Computers categories.
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.
Social Network Analytics
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Author : Nilanjan Dey
language : en
Publisher: Academic Press
Release Date : 2018-11-16
Social Network Analytics written by Nilanjan Dey and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-16 with Computers categories.
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
Hidden Link Prediction In Stochastic Social Networks
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Author : Pandey, Babita
language : en
Publisher: IGI Global
Release Date : 2019-05-03
Hidden Link Prediction In Stochastic Social Networks written by Pandey, Babita and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-03 with Computers categories.
Link prediction is required to understand the evolutionary theory of computing for different social networks. However, the stochastic growth of the social network leads to various challenges in identifying hidden links, such as representation of graph, distinction between spurious and missing links, selection of link prediction techniques comprised of network features, and identification of network types. Hidden Link Prediction in Stochastic Social Networks concentrates on the foremost techniques of hidden link predictions in stochastic social networks including methods and approaches that involve similarity index techniques, matrix factorization, reinforcement, models, and graph representations and community detections. The book also includes miscellaneous methods of different modalities in deep learning, agent-driven AI techniques, and automata-driven systems and will improve the understanding and development of automated machine learning systems for supervised, unsupervised, and recommendation-driven learning systems. It is intended for use by data scientists, technology developers, professionals, students, and researchers.
Animal Social Networks
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Author : Dr. Jens Krause
language : en
Publisher: Oxford University Press, USA
Release Date : 2015
Animal Social Networks written by Dr. Jens Krause and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Science categories.
This book demonstrates the application of network theory to the social organization of animals.
E Commerce
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Author : Kyeong Kang
language : en
Publisher: BoD – Books on Demand
Release Date : 2010-02-01
E Commerce written by Kyeong Kang and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-01 with Business & Economics categories.
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.
Education And Awareness Of Sustainability Proceedings Of The 3rd Eurasian Conference On Educational Innovation 2020 Ecei 2020
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Author : Charles Tijus
language : en
Publisher: World Scientific
Release Date : 2020-11-17
Education And Awareness Of Sustainability Proceedings Of The 3rd Eurasian Conference On Educational Innovation 2020 Ecei 2020 written by Charles Tijus and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-17 with Education categories.
This volume represents the proceedings of the 3rd Eurasian Conference on Educational Innovation 2020 (ECEI 2020). Thes conference is organized by the International Institute of Knowledge Innovation and Invention (IIKII), and was held on February 5-7, 2020 in Hanoi, Vietnam.ECEI 2020 provides a unified communication platform for researchers in a range of topics in education innovation and other related fields. This proceedings volume enables interdisciplinary collaboration of science and engineering technologists. It is a fine starting point for establishing an international network in the academic and industrial fields.
Data Driven Mathematical And Statistical Models Of Online Social Networks
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Author : Shudong Li
language : en
Publisher: Frontiers Media SA
Release Date : 2022-03-07
Data Driven Mathematical And Statistical Models Of Online Social Networks written by Shudong Li and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-07 with Science categories.
Knowledge Science Engineering And Management
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Author : Gang Li
language : en
Publisher: Springer Nature
Release Date : 2020-08-20
Knowledge Science Engineering And Management written by Gang Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-20 with Computers categories.
This two-volume set of LNAI 12274 and LNAI 12275 constitutes the refereed proceedings of the 13th International Conference on Knowledge Science, Engineering and Management, KSEM 2020, held in Hangzhou, China, in August 2020.* The 58 revised full papers and 27 short papers were carefully reviewed and selected from 291 submissions. The papers of the first volume are organized in the following topical sections: knowledge graph; knowledge representation; knowledge management for education; knowledge-based systems; and data processing and mining. The papers of the second volume are organized in the following topical sections: machine learning; recommendation algorithms and systems; social knowledge analysis and management; text mining and document analysis; and deep learning. *The conference was held virtually due to the COVID-19 pandemic.