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[ subject:"Social media- Data processing." ]
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Probabilistic approaches for social ...
~
Yue, Kun.
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Probabilistic approaches for social media analysis = data, community and influence /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Probabilistic approaches for social media analysis/ Kun Yue ... [et al.].
其他題名:
data, community and influence /
其他作者:
Yue, Kun.
出版者:
Singapore :World Scientific, : c2020.,
面頁冊數:
1 online resource (292 p.)
內容註:
Introduction -- Adaptive and parallel acquisition of social media data from online big graphs -- A Bayesian network-based approach for incremental learning of uncertain knowledge -- Discovering user similarities in social behavioral interactions based on Bayesian network -- Associative categorization of frequent patterns in social media based on Markov network -- Markov network based latent link discovery and community detection in social behavioral interactions -- Probabilistic inferences of latent entity associations in textual web contents -- Containment of competitive influence spread on social networks -- Locating sources in online social networks via random walk.
標題:
Social media - Data processing. -
電子資源:
https://www.worldscientific.com/worldscibooks/10.1142/11476#t=toc
ISBN:
9789811207389
Probabilistic approaches for social media analysis = data, community and influence /
Probabilistic approaches for social media analysis
data, community and influence /[electronic resource] :Kun Yue ... [et al.]. - 1st ed. - Singapore :World Scientific,c2020. - 1 online resource (292 p.) - East China Normal University scientific reports,vol. 112382-5715 ;. - East China Normal University scientific reports ;vol. 11..
Includes bibliographical references and index.
Introduction -- Adaptive and parallel acquisition of social media data from online big graphs -- A Bayesian network-based approach for incremental learning of uncertain knowledge -- Discovering user similarities in social behavioral interactions based on Bayesian network -- Associative categorization of frequent patterns in social media based on Markov network -- Markov network based latent link discovery and community detection in social behavioral interactions -- Probabilistic inferences of latent entity associations in textual web contents -- Containment of competitive influence spread on social networks -- Locating sources in online social networks via random walk.
"This unique compendium focuses on the acquisition and analysis of social media data. The approaches concern both the data-intensive characteristics and graphical structures of social media. The book addresses the critical problems in social media analysis, which representatively cover its lifecycle. The must-have volume is an excellent reference text for professionals, researchers, academics and graduate students in AI and databases"--Publisher's website.
Mode of access: World Wide Web.
ISBN: 9789811207389Subjects--Topical Terms:
3512745
Social media
--Data processing.
LC Class. No.: HM742 / .P679 2020
Dewey Class. No.: 302.23/1
Probabilistic approaches for social media analysis = data, community and influence /
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https://www.worldscientific.com/worldscibooks/10.1142/11476#t=toc
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