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Titlebook: Computational Social Networks; 5th International Co Hien T. Nguyen,Vaclav Snasel Conference proceedings 2016 Springer International Publish

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41#
發(fā)表于 2025-3-28 18:30:11 | 只看該作者
Integrating Networks of Equipotent Nodes,d be established between the groups to give members appropriate access to resource and information. Viewing a social group as a network, we investigate such integration from a computational perspective. In particular, we assume that the networks have equipotent nodes, which refers to the situation w
42#
發(fā)表于 2025-3-28 21:59:04 | 只看該作者
Identify Influential Spreaders in Online Social Networks Based on Social Meta Path and PageRank, spread most broadly to the rest of the network individuals. The determination of the information influence degree of individual plays an important role in online social networking. Once there is a list of individuals who have high influence, the marketers can access these individuals and seek them
43#
發(fā)表于 2025-3-29 00:20:54 | 只看該作者
44#
發(fā)表于 2025-3-29 03:12:31 | 只看該作者
45#
發(fā)表于 2025-3-29 09:31:51 | 只看該作者
Rumor Propagation Detection System in Social Network Services,SNS allows a fast propagation and it is used as a tool to send information. But its negative sides need to be considered. In this paper, we analyzed actual data of malicious accounts and extracted features. Based on this results, we detect the suspected accounts that spread rumors. Firstly, we crawl
46#
發(fā)表于 2025-3-29 14:46:47 | 只看該作者
Detecting Overlapping Community in Social Networks Based on Fuzzy Membership Degree,unities. Most previous methods of overlapping community detection ignore the belonging levels when one node belongs to several communities. The membership-degree is used to embody the belonging level. In this paper, an novel method calling . is put forward. Firstly, we propagate the membership-degre
47#
發(fā)表于 2025-3-29 17:20:54 | 只看該作者
48#
發(fā)表于 2025-3-29 23:17:04 | 只看該作者
49#
發(fā)表于 2025-3-30 00:31:04 | 只看該作者
Structure and Sequence of Decision Making in Financial Online Social Networks, benefit of OSNs is known to be the provision of free and easy access to a wide range of information, largely unconstrained by geographical barriers and free of charge. This paper specifically addresses the potential use of OSNs as a support tool for financial decision making. The key objectives of
50#
發(fā)表于 2025-3-30 04:27:21 | 只看該作者
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