| 书目名称 | Social Networks and Surveillance for Society |
| 编辑 | Tansel Özyer,Sambit Bakshi,Reda Alhajj |
| 视频video | |
| 概述 | Describes state-of-the-art social network analysis techniques for surveillance and privacy.Contains case studies showing how various domains such as cyber forensics benefit from social network analysi |
| 丛书名称 | Lecture Notes in Social Networks |
| 图书封面 |  |
| 描述 | This book focuses on recent technical advancements and state-of-the art technologies for analyzing characteristic features and probabilistic modelling of complex social networks and decentralized online network architectures. Such research results in applications related to surveillance and privacy, fraud analysis, cyber forensics, propaganda campaigns, as well as for online social networks such as Facebook. The text illustrates the benefits of using advanced social network analysis methods through application case studies based on practical test results from synthetic and real-world data. This book will appeal to researchers and students working in these areas. . |
| 出版日期 | Book 2019 |
| 关键词 | identifying influencers; online social network fraud; social media frauds; decentralized social network |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-78256-0 |
| isbn_softcover | 978-3-030-08657-2 |
| isbn_ebook | 978-3-319-78256-0Series ISSN 2190-5428 Series E-ISSN 2190-5436 |
| issn_series | 2190-5428 |
| copyright | Springer International Publishing AG, part of Springer Nature 2019 |
发表于 2025-3-21 19:29:35
