Performance analysis and testing of personal influence algorithm in online social networks
Social influence is the key factor to drive information propagation in online social networks and can be modeled and analyzed with social networking data.As a kind of classical personal influence algorithm,two parallel implementation versions of a PageRank based method were introduced.Furthermore,ex...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2018-10-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2018217 |
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| _version_ | 1850211491608788992 |
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| author | Yong QUAN Yan JIA Liang ZHANG Zheng ZHU Bin ZHOU Binxing FANG |
| author_facet | Yong QUAN Yan JIA Liang ZHANG Zheng ZHU Bin ZHOU Binxing FANG |
| author_sort | Yong QUAN |
| collection | DOAJ |
| description | Social influence is the key factor to drive information propagation in online social networks and can be modeled and analyzed with social networking data.As a kind of classical personal influence algorithm,two parallel implementation versions of a PageRank based method were introduced.Furthermore,extensive experiments were conducted on a large-scale real dataset to test the performance of these parallel methods in a distributed environment.The results demonstrate that the computational efficiency of the personal influence algorithm can be improved significantly in massive data sets by virtue of existing big data processing framework,and provide an empirical reference for the future research and optimization of the algorithm as well. |
| format | Article |
| id | doaj-art-bb19ddf2105041a892f5c66fc10c3a36 |
| institution | OA Journals |
| issn | 1000-436X |
| language | zho |
| publishDate | 2018-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-bb19ddf2105041a892f5c66fc10c3a362025-08-20T02:09:33ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2018-10-013911059721050Performance analysis and testing of personal influence algorithm in online social networksYong QUANYan JIALiang ZHANGZheng ZHUBin ZHOUBinxing FANGSocial influence is the key factor to drive information propagation in online social networks and can be modeled and analyzed with social networking data.As a kind of classical personal influence algorithm,two parallel implementation versions of a PageRank based method were introduced.Furthermore,extensive experiments were conducted on a large-scale real dataset to test the performance of these parallel methods in a distributed environment.The results demonstrate that the computational efficiency of the personal influence algorithm can be improved significantly in massive data sets by virtue of existing big data processing framework,and provide an empirical reference for the future research and optimization of the algorithm as well.http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2018217performance testing;social influence;distributed computing;online social networks |
| spellingShingle | Yong QUAN Yan JIA Liang ZHANG Zheng ZHU Bin ZHOU Binxing FANG Performance analysis and testing of personal influence algorithm in online social networks Tongxin xuebao performance testing;social influence;distributed computing;online social networks |
| title | Performance analysis and testing of personal influence algorithm in online social networks |
| title_full | Performance analysis and testing of personal influence algorithm in online social networks |
| title_fullStr | Performance analysis and testing of personal influence algorithm in online social networks |
| title_full_unstemmed | Performance analysis and testing of personal influence algorithm in online social networks |
| title_short | Performance analysis and testing of personal influence algorithm in online social networks |
| title_sort | performance analysis and testing of personal influence algorithm in online social networks |
| topic | performance testing;social influence;distributed computing;online social networks |
| url | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2018217 |
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