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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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发表于 2025-3-21 16:14:42 | 显示全部楼层 |阅读模式
书目名称Encyclopedia of Social Network Analysis and Mining
编辑Reda Alhajj,Jon Rokne
视频video
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
图书封面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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