Behavior and Evolutionary Dynamics in Crowd Networks by Yan Chen
This book offers a holistic framework to study behavior and evolutionary dynamics in large-scale, decentralized, and heterogeneous crowd networks. It reviews the fundamental methodologies to study user interactions and evolutionary dynamics in crowd networks and discusses recent advances in this emerging interdisciplinary research field. Using information diffusion over social networks as an example, it presents a thorough investigation of the impact of user behavior on the network evolution process and demonstrates how this can help improve network performance.-
Social Media Analysis for Event Detection
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Advances in Social Networks Analysis and Mining
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Big Data and Social Media Analytics
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Disinformation, Misinformation, and Fake News in Social Media
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Challenges in Social Network Research
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Counterterrorism and Open Source Intelligence
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Networks and Network Analysis for Defence and Security
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Techniques and Tools for Designing an Online Social Network Platform
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Social Network Analysis and Mining Applications in Healthcare and Anomaly Detection
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Security and Privacy Preserving in Social Networks
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Social Network Based Big Data Analysis and Applications
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Applications of Data Management and Analysis
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Mutative Media
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Network Intelligence Meets User Centered Social Media Networks
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Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining
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Prediction and Inference from Social Networks and Social Media
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From Security to Community Detection in Social Networking Platforms
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Social Networks and Surveillance for Society
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Social Networking and Education
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Online Collective Action
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Social Networks: Analysis and Case Studies
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Social Network Analysis in Predictive Policing
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Open Source Intelligence and Cyber Crime
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Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation
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Machine Learning Techniques for Online Social Networks
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Structural Differentiation in Social Media
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From Social Data Mining and Analysis to Prediction and Community Detection
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Formal Concept Analysis of Social Networks
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Finding Communities in Social Networks Using Graph Embeddings
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Public Health Intelligence and the Internet
Yan Chen received the bachelor's degree from the University of Science and Technology of China in 2004, the M.Phil. degree from the Hong Kong University of Science and Technology in 2007, and the Ph.D. degree from the University of Maryland, College Park, MD, USA, in 2011. He was with Origin Wireless Inc. as a Founding Principal Technologist. From Sept. 2015 to Feb. 2020, he was a full Professor with the School of Information and Communication Engineering at the University of Electronic Science and Technology of China. He is currently a full Professor with the School of Cyberspace Security at the University of Science and Technology of China. His research interests include multimedia, signal processing, game theory, and wireless communications.
He was the recipient of multiple honors and awards, including the best student paper award at the PCM in 2017, best student paper award at the IEEE ICASSP in 2016, the best paper award at the IEEE GLOBECOM in 2013, the Future Faculty Fellowship and Distinguished Dissertation Fellowship Honorable Mention from the Department of Electrical and Computer Engineering in 2010 and 2011, the Finalist of the Dean's Doctoral Research Award from the A. James Clark School of Engineering, the University of Maryland in 2011, and the Chinese Government Award for outstanding students abroad in 2010.
H. Vicky Zhao received the B.S. and M.S. degree from Tsinghua University, China, in 1997 and 1999, respectively, and the Ph.D. degree from the University of Maryland, College Park, in 2004, all in Electrical Engineering. She was a Research Associate with the Department of Electrical and Computer Engineering and the Institute for Systems Research, University of Maryland, College Park, from January 2005 to July 2006. From August 2006 to February 2016, she was with the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada, as an Assistant Professor (2006–2012) and then an Associate Professor (2012–2016). Since May 2016, she has been an Associate Professor with the Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China.
Dr. Zhao’s research interests include media-sharing social networks, information security and forensics, digital communications, and signal processing. Dr. Zhao received the IEEE Signal Processing Society (SPS) 2008 Young Author Best Paper. She is a co-author of “Multimedia Fingerprinting Forensics for Traitor Tracing” (Hindawi, 2005) and “Behavior Dynamics in Media-Sharing Social Networks” (Cambridge University Press, 2011). She was a member of IEEE Signal Processing Society Information Forensics and Security Technical Committee and Multimedia Signal Processing Technical Committee. She is the Senior Area Editor and Associate Editor for IEEE Information Forensics and Security, IEEE Signal Processing Letters, and Elsevier Journal of Visual Communication and Image Representation and a guest editor of IEEE Signal Processing Magazine. Dr. Zhao also actively participates in organizing international conferences as General Co-Chair, Technical Program Co-Chair, Finance Co-Chair, etc.
| SKU | Unavailable |
| ISBN 13 | 9789811571596 |
| ISBN 10 | 9811571597 |
| Title | Behavior and Evolutionary Dynamics in Crowd Networks |
| Author | Yan Chen |
| Series | Lecture Notes In Social Networks |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer Verlag, Singapore |
| Year published | 2020-07-29 |
| Number of pages | 135 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |