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Application of Community Detection Algorithm with Link Clustering in Inhibition of Social Network Worms

摘要


The community detection was performed from the perspective of links, and we proposed an inhibition method against social network worms. Firstly, a community detection algorithm was proposed, which based on link clustering, and we got related link incremental information through the network structure information at various time points. In order to obtain the link communities, we adopted an improved link partition density function to dispose the link incremental information. Next, we gave three selection strategies of key nodes in community and proposed corresponding worm inhibition method. Finally, on the basis of real web data sets, we applied community detection and worm inhibition experiments to prove validity of algorithm in this paper.

被引用紀錄


Tu, P. H. (2006). 手機間有效率的點對點檔案分享 [master's thesis, National Tsing Hua University]. Airiti Library. https://doi.org/10.6843/NTHU.2006.00628
邱鈺真(2011)。研究無線區域網路基地台的傳輸效能〔碩士論文,國立交通大學〕。華藝線上圖書館。https://doi.org/10.6842/NCTU.2011.00075
楊文君(2014)。萃取全域與區域特徵以兩階段分類器進行工業應用字元辨識〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://doi.org/10.6841/NTUT.2014.00009
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HSU, C. Y. (2003). 應用EAP-TLS 與 X.509 實現 WLAN (IEEE 802.1X) 之全域認證研究 [master's thesis, Chung Yuan Christian University]. Airiti Library. https://doi.org/10.6840/cycu200300125

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