From Security to Community Detection in Social Networking Platforms /
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Imprint: | Cham, Switzerland : Springer Nature, 2019. |
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Description: | 1 online resource |
Language: | English |
Series: | Lecture notes in social networks Lecture notes in social networks. |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11873393 |
Other authors / contributors: | Karampelas, Panagiotis, editor. Kawash, Jalal, editor. Özyer, Tansel, editor. |
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ISBN: | 9783030112868 3030112861 9783030112851 3030112853 |
Notes: | Online resource; title from PDF title page (EBSCO, viewed April 11, 2019). |
Summary: | 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, Sydney Australia, August 2017). 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. -- |
Other form: | Print version: From Security to Community Detection in Social Networking Platforms. Cham, Switzerland : Springer Nature, 2019 3030112853 9783030112851 |
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