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Titlebook: Computational Data and Social Networks; 9th International Co Sriram Chellappan,Kim-Kwang Raymond Choo,NhatHai P Conference proceedings 2020

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書目名稱Computational Data and Social Networks
副標(biāo)題9th International Co
編輯Sriram Chellappan,Kim-Kwang Raymond Choo,NhatHai P
視頻videohttp://file.papertrans.cn/233/232225/232225.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computational Data and Social Networks; 9th International Co Sriram Chellappan,Kim-Kwang Raymond Choo,NhatHai P Conference proceedings 2020
描述.This book constitutes the refereed proceedings of the 9th International Conference on Computational Data and Social Networks, CSoNet 2020, held in Dallas, TX, USA, in December 2020...The 20 full papers were carefully reviewed and selected from 83 submissions. Additionally the book includes 22 special track papers and 3 extended abstracts. The selected papers are devoted to topics such as Combinatorial Optimization and Learning; Computational Methods for Social Good Applications; NLP and Affective Computing; Privacy and Security; Blockchain; Fact-Checking, Fake News and Malware Detection in Online Social Networks; and Information Spread in Social and Data Networks..
出版日期Conference proceedings 2020
關(guān)鍵詞Computer Science; Informatics; Conference Proceedings; Research; Applications
版次1
doihttps://doi.org/10.1007/978-3-030-66046-8
isbn_softcover978-3-030-66045-1
isbn_ebook978-3-030-66046-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

書目名稱Computational Data and Social Networks影響因子(影響力)




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書目名稱Computational Data and Social Networks被引頻次




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Diastereoselectivity in Organic Reactions,highly connected networks because of newly accepted paradigm of Internet of Things. Patterns of interaction between nodes reflect a lot of information about nature of underlying network graph. The connectedness of nodes has been studied by several researchers to provide near optimal solution about t
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https://doi.org/10.1007/978-3-030-75622-2een users and items, collaborative filtering and matrix factorization cannot achieve the supposed results. In fact, the properties between users or items always remains as social and knowledge relations. In this paper, we have proposed a new graph deep learning model associated with knowledge graph
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Filter Construction and Design,t to limit the spread of the virus, our life has dramatically changed. During this period, the web and social media platforms have become the main medium for communication, expression, and entertainment. Such platforms are a rich source of information, enabling researchers to better understand how t
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Mass-Rearing for Sterile Insect Releaserks with a previous work and notes the change in the networks over a decade. In a populous country like India with an ever increasing GDP, more and more people are gaining the facility of choosing one mode of travel over the other. Here we have compared these two networks, by building a . network. T
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