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Titlebook: Mining Lurkers in Online Social Networks; Principles, Models, Andrea Tagarelli,Roberto Interdonato Book 2018 The Author(s), under exclusiv

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發(fā)表于 2025-3-21 18:23:15 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Mining Lurkers in Online Social Networks
副標(biāo)題Principles, Models,
編輯Andrea Tagarelli,Roberto Interdonato
視頻videohttp://file.papertrans.cn/635/634661/634661.mp4
概述First book to discuss the lurking behavior phenomenon in online social networks under both social science and computational perspectives.It provides detailed descriptions of computational approaches t
叢書(shū)名稱(chēng)SpringerBriefs in Computer Science
圖書(shū)封面Titlebook: Mining Lurkers in Online Social Networks; Principles, Models,  Andrea Tagarelli,Roberto Interdonato Book 2018 The Author(s), under exclusiv
描述.This SpringerBrief ?brings order ?to the wealth of research studies that?contribute to shape our understanding of on-line social networks?(OSNs) ?lurking phenomena. This brief also drives the development of?computational approaches that can be effectively applied to answer?questions related to lurking behaviors, as well as to the engagement of?lurkers in OSNs..?All large-scale online social networks (OSNs) are characterized by a?participation inequality principle, i.e., the crowd of an OSN does not?actively contribute, rather it takes on a silent role. Silent users are also?referred to as lurkers, since they gain benefit from others‘ information?without significantly giving back to the community. Nevertheless, lurkers?acquire knowledge from the OSN, therefore a major goal is to encourage?them to more actively participate..?Lurking behavior analysis has been long studied in social science and?human-computer interaction fields, but it has also matured over the last?few years in social network analysis and mining..?While the main target audience corresponds to computer, network, and?web data scientists, this brief might also help increase the visibility of the?topic by bridging diffe
出版日期Book 2018
關(guān)鍵詞lurking behavior analysis; centrality; influence propagation; lurkers; silent users; passive users; vicari
版次1
doihttps://doi.org/10.1007/978-3-030-00229-9
isbn_softcover978-3-030-00228-2
isbn_ebook978-3-030-00229-9Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightThe Author(s), under exclusive license to Springer Nature Switzerland AG 2018
The information of publication is updating

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2191-5768 n social network analysis and mining..?While the main target audience corresponds to computer, network, and?web data scientists, this brief might also help increase the visibility of the?topic by bridging diffe978-3-030-00228-2978-3-030-00229-9Series ISSN 2191-5768 Series E-ISSN 2191-5776
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Andrea Tagarelli,Roberto InterdonatoFirst book to discuss the lurking behavior phenomenon in online social networks under both social science and computational perspectives.It provides detailed descriptions of computational approaches t
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Mining Lurkers in Online Social Networks978-3-030-00229-9Series ISSN 2191-5768 Series E-ISSN 2191-5776
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Book 2018king phenomena. This brief also drives the development of?computational approaches that can be effectively applied to answer?questions related to lurking behaviors, as well as to the engagement of?lurkers in OSNs..?All large-scale online social networks (OSNs) are characterized by a?participation in
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