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: Yong QUAN, Yan JIA, Liang ZHANG, Zheng ZHU, Bin ZHOU, Binxing FANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2018-10-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2018217
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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
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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
work_keys_str_mv AT yongquan performanceanalysisandtestingofpersonalinfluencealgorithminonlinesocialnetworks
AT yanjia performanceanalysisandtestingofpersonalinfluencealgorithminonlinesocialnetworks
AT liangzhang performanceanalysisandtestingofpersonalinfluencealgorithminonlinesocialnetworks
AT zhengzhu performanceanalysisandtestingofpersonalinfluencealgorithminonlinesocialnetworks
AT binzhou performanceanalysisandtestingofpersonalinfluencealgorithminonlinesocialnetworks
AT binxingfang performanceanalysisandtestingofpersonalinfluencealgorithminonlinesocialnetworks