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Titlebook: Encyclopedia of Social Network Analysis and Mining; Reda Alhajj,Jon Rokne Living reference work 20200th edition

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書(shū)目名稱(chēng)Encyclopedia of Social Network Analysis and Mining
編輯Reda Alhajj,Jon Rokne
視頻videohttp://file.papertrans.cn/310/309557/309557.mp4
概述Comprehensive updated reference for researchers and practitioners including entries on the latest emerging topics such as: crowdsourcing, opinion mining, and sentiment analysis.Includes comprehensive
圖書(shū)封面Titlebook: Encyclopedia of Social Network Analysis and Mining;  Reda Alhajj,Jon Rokne Living reference work 20200th edition
描述.The .Encyclopedia of Social Network Analysis and Mining. (ESNAM) is the first major reference work to integrate fundamental concepts and research directions in the areas of social networks and? application to data mining. This set?of comprehensive and authoritative volumes.????????? explains the science and technology behind the rapidly growing global avenues for exchanging views and influencing others.????????? presents the first comprehensive coverage of all fields that contribute ?to social network construction and analysis as a multidisciplinary domain.????????? is designed to appeal to an interdisciplinary audience ranging from the ?undergraduate to professional level.????????? describes social network applications to knowledge mining and discovery .????????? addresses privacy, security, ethical, and civil liberty issues for social networks..While ESNAM ?reflects the state-of-the-art in ?social network research, the field ?had itsstart in the 1930s when fundamental issues in social network research were broadly defined. These communities were limited to relatively small numbers of nodes (actors) and links. More recently the advent of electronic communication, and in particula
出版日期Living reference work 20200th edition
doihttps://doi.org/10.1007/978-1-4614-7163-9
isbn_ebook978-1-4614-7163-9
The information of publication is updating

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Living reference work 20200th editionrt in ?social network research, the field ?had itsstart in the 1930s when fundamental issues in social network research were broadly defined. These communities were limited to relatively small numbers of nodes (actors) and links. More recently the advent of electronic communication, and in particula
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Modeling Social Preferences Based on Social Interactions,
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Anonymization and De-anonymization of Social Network Data,
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Benchmarking for Graph Clustering and Partitioning,
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Classical Algorithms for Social Network Analysis: Future and Current Trends,
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