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Titlebook: Computational Data and Social Networks; 7th International Co Xuemin Chen,Arunabha Sen,My T. Thai Conference proceedings 2018 Springer Natur

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書目名稱Computational Data and Social Networks
副標題7th International Co
編輯Xuemin Chen,Arunabha Sen,My T. Thai
視頻videohttp://file.papertrans.cn/233/232226/232226.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computational Data and Social Networks; 7th International Co Xuemin Chen,Arunabha Sen,My T. Thai Conference proceedings 2018 Springer Natur
描述This book constitutes the refereed proceedings of the 7th International?Conference on Computational Data and Social Networks, CSoNet 2018, held in Shanghai,?China, in December 2018..The 44 revised full papers presented in this book toghether with 2 extended?abstracts, were carefully reviewed and selected from 106 submissions.?.The topics cover the fundamental background, theoretical technology development,?and real-world applications associated with complex and data network analysis,?minimizing in?uence of rumors on social networks, blockchain Markov modelling,?fraud detection, data mining, internet of things (IoT), internet of vehicles (IoV), and others.?.
出版日期Conference proceedings 2018
關(guān)鍵詞complex networks; online social networks; network science; big data; blockchain; algorithms; cybersecurity
版次1
doihttps://doi.org/10.1007/978-3-030-04648-4
isbn_softcover978-3-030-04647-7
isbn_ebook978-3-030-04648-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

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Cease with Bass: A Framework for Real-Time Topic Detection and Popularity Prediction Based on Long- been embedded into social network. Compared with tweet-style contents, long-text contents are better-organized and less prone to noise. However, existing methods for real-time topic detection leveraging long-textual data do not produce satisfactory performance on sensitivity and scalability, and lo
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A Path Planning Approach with Maximum Traffic Flow and Minimum Breakdown Probability in Complex Roa to improve road utilization for alleviating the traffic congestion. In this paper, we first propose an optimization model to improve the road utilization, which not only considers the traffic breakdown probability but also the spontaneous traffic flow. Traffic breakdown occurs during the transition
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Optimal Resource Allocation for Brokers in Media Cloud,sue. Media cloud has been shown to be an efficient solution to resolve the above issue, by allowing mobile social users to connect to it through a group of distributed brokers. However, as the resource (like bandwidth, servers, computing power, etc.) in media cloud is limited, how to allocate resour
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