學術產出-Proceedings

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

題名 Dynamic selection of activation targets to boost the influence spread in social networks
作者 Li, C.-T.;Shan, Man-Kwan;Lin, Shou-De
沈錳坤;林守德
貢獻者 資科系
關鍵詞 Active node; Dynamic selection; Influence maximizations; Neighboring nodes; Social Networks; Target selection; Viral marketing; Social networking (online); World Wide Web; Sales
日期 2012
上傳時間 17-Apr-2015 10:55:45 (UTC+8)
摘要 This paper aims to combine the viral marketing with the idea of direct selling to for influence maximization in a social network. In direct selling, producers can sell the products directly to the consumers without having to go through a cascade of wholesalers. Through direct selling, it is possible to sell the products in a more efficient and economic manner. Motivated by this idea, we propose a target-selecting independent cascade (TIC) model, in which during influence propagation each active node can give up to attempt to influence some neighboring nodes, named victims, who are hard to affect, and try to activate friends of its friends, termed destinations, who could have higher potential to increase the influence spread. The next question to ask is that given a social network and a set of seeds for influence propagation under TIC model, how to effectively select targets (i.e., victims and destinations) for the attempts of activation during propagation to boost the influence spread. We propose and evaluate three heuristics for the target selection. Experiments show that selecting targets based on influence probability between nodes have the highest boost of influence spread. Copyright is held by the author/owner(s).
關聯 WWW`12 - Proceedings of the 21st Annual Conference on World Wide Web Companion
資料類型 conference
DOI http://dx.doi.org/10.1145/2187980.2188127
dc.contributor 資科系
dc.creator (作者) Li, C.-T.;Shan, Man-Kwan;Lin, Shou-De
dc.creator (作者) 沈錳坤;林守德zh_TW
dc.date (日期) 2012
dc.date.accessioned 17-Apr-2015 10:55:45 (UTC+8)-
dc.date.available 17-Apr-2015 10:55:45 (UTC+8)-
dc.date.issued (上傳時間) 17-Apr-2015 10:55:45 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/74652-
dc.description.abstract (摘要) This paper aims to combine the viral marketing with the idea of direct selling to for influence maximization in a social network. In direct selling, producers can sell the products directly to the consumers without having to go through a cascade of wholesalers. Through direct selling, it is possible to sell the products in a more efficient and economic manner. Motivated by this idea, we propose a target-selecting independent cascade (TIC) model, in which during influence propagation each active node can give up to attempt to influence some neighboring nodes, named victims, who are hard to affect, and try to activate friends of its friends, termed destinations, who could have higher potential to increase the influence spread. The next question to ask is that given a social network and a set of seeds for influence propagation under TIC model, how to effectively select targets (i.e., victims and destinations) for the attempts of activation during propagation to boost the influence spread. We propose and evaluate three heuristics for the target selection. Experiments show that selecting targets based on influence probability between nodes have the highest boost of influence spread. Copyright is held by the author/owner(s).
dc.format.extent 176 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) WWW`12 - Proceedings of the 21st Annual Conference on World Wide Web Companion
dc.subject (關鍵詞) Active node; Dynamic selection; Influence maximizations; Neighboring nodes; Social Networks; Target selection; Viral marketing; Social networking (online); World Wide Web; Sales
dc.title (題名) Dynamic selection of activation targets to boost the influence spread in social networks
dc.type (資料類型) conferenceen
dc.identifier.doi (DOI) 10.1145/2187980.2188127
dc.doi.uri (DOI) http://dx.doi.org/10.1145/2187980.2188127