| 書目名稱 | From Security to Community Detection in Social Networking Platforms |
| 編輯 | Panagiotis Karampelas,Jalal Kawash,Tansel ?zyer |
| 視頻video | http://file.papertrans.cn/349/348921/348921.mp4 |
| 概述 | Contains state-of-the-art methodologies for community detection.Features prediction techniques based on social network analysis.Includes detailed tables, illustrative figures, and techniques for graph |
| 叢書名稱 | Lecture Notes in Social Networks |
| 圖書封面 |  |
| 描述 | .This book focuses on novel and state-of-the-art scientific work in the area of detection and prediction techniques using information found generally in graphs and particularly in social networks. Community detection techniques are presented in diverse contexts and for different applications while prediction methods for structured and unstructured data are applied to a variety of fields such as financial systems, security forums, and social networks. The rest of the book focuses on graph-based techniques for data analysis such as graph clustering and edge sampling.?. .The research presented in this volume was selected based on solid reviews from the IEEE/ACM International Conference on Advances in Social Networks, Analysis, and Mining (ASONAM ‘17). Chapters were then improved and extended substantially, and the final versions were rigorously reviewed and revised to meet the series standards. This book will appeal to practitioners, researchers and students in the field.. |
| 出版日期 | Book 2019 |
| 關(guān)鍵詞 | big data and social networks; influence analysis; pattern recognition; recommendation systems; predictio |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-11286-8 |
| isbn_ebook | 978-3-030-11286-8Series ISSN 2190-5428 Series E-ISSN 2190-5436 |
| issn_series | 2190-5428 |
| copyright | Springer Nature Switzerland AG 2019 |
|Archiver|手機(jī)版|小黑屋|
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