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Probabilistic approaches for social ...
~
Yue, Kun.
Probabilistic approaches for social media analysisdata, community and influence /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Probabilistic approaches for social media analysisKun Yue ... [et al.].
Reminder of title:
data, community and influence /
other author:
Yue, Kun.
Published:
Singapore :World Scientific,c2020.
Description:
1 online resource (292 p.)
Subject:
Social mediaData processing.
Online resource:
https://www.worldscientific.com/worldscibooks/10.1142/11476#t=toc
ISBN:
9789811207389$q(ebook)
Probabilistic approaches for social media analysisdata, community and influence /
Probabilistic approaches for social media analysis
data, community and influence /[electronic resource] :Kun Yue ... [et al.]. - 1st ed. - Singapore :World Scientific,c2020. - 1 online resource (292 p.) - East China Normal University scientific reports,vol. 112382-5715 ;. - East China Normal University scientific reports ;6..
Includes bibliographical references and index.
Introduction -- Adaptive and parallel acquisition of social media data from online big graphs -- A Bayesian network-based approach for incremental learning of uncertain knowledge -- Discovering user similarities in social behavioral interactions based on Bayesian network -- Associative categorization of frequent patterns in social media based on Markov network -- Markov network based latent link discovery and community detection in social behavioral interactions -- Probabilistic inferences of latent entity associations in textual web contents -- Containment of competitive influence spread on social networks -- Locating sources in online social networks via random walk.
"This unique compendium focuses on the acquisition and analysis of social media data. The approaches concern both the data-intensive characteristics and graphical structures of social media. The book addresses the critical problems in social media analysis, which representatively cover its lifecycle. The must-have volume is an excellent reference text for professionals, researchers, academics and graduate students in AI and databases"--Publisher's website.
Mode of access: World Wide Web.
ISBN: 9789811207389$q(ebook)Subjects--Topical Terms:
902663
Social media
--Data processing.
LC Class. No.: HM742 / .P679 2020
Dewey Class. No.: 302.23/1
Probabilistic approaches for social media analysisdata, community and influence /
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data, community and influence /
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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.
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"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.
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Mode of access: World Wide Web.
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Social media
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Data processing.
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Text processing (Computer science)
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https://www.worldscientific.com/worldscibooks/10.1142/11476#t=toc
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1圖書
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EB HM742 .P679 2020 c2020
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https://www.worldscientific.com/worldscibooks/10.1142/11476#t=toc
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