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现代图书情报技术  2016, Vol. 32 Issue (4): 20-30    DOI: 10.11925/infotech.1003-3513.2016.04.03
  研究论文 本期目录 | 过刊浏览 | 高级检索 |
社会关系网络中影响力用户发现方法研究*
何建民(),殷澍
合肥工业大学管理学院 合肥 230009
过程优化与智能决策教育部重点实验室 合肥 230009
Identifying Influential Users in Social Networks
He Jianmin(),Yin Shu
School of Management, Hefei University of Technology, Hefei 230009, China
Key Laboratory of Process Optimization and Intelligent Decision-making, Ministry of Education, Hefei University of Technology, Hefei 230009, China
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摘要 

目的】为使结点投放的社会性网络广告绩效最大化, 探索一种遴选网络影响力用户的新方法。【方法】从社会资本测量的视角, 将社交网络上的用户间关系描述为社会关系网络基本图谱, 据此建立用户影响力社会资本测度模型, 通过对基本图谱下的用户随机游走行为发生可能性的概率计算, 以识别和发现有影响力的用户。【结果】经识别的目标用户在其特定领域拥有相当的话语影响力, 可对其他用户施加信息影响, 经与“新浪微博”平台标识的影响力用户对比, 验证该方法的有效合理性。【局限】未考虑社交网络用户的博文内容对其话语影响力的贡献。【结论】为企业投放社会性网络广告遴选有影响力用户, 提供理论支持和实用方法。

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何建民
殷澍
关键词 网络广告投放社会关系图谱用户社会资本测量影响力用户发现模型    
Abstract

[Objective] This paper aims to identify the influential users in social network systems, which could help us maximize the online advertising effects. [Methods] First, we constructed the basic graphs to describe relationship among the social network system users from the perspective of social capital measurement. Second, we built the influence measurement model based on the newly constructed graphs. Finally, we identified the influential users by calculating the probabilities of users’ random browsing behaviors. [Results] The proposed method could identify users with big online influence. They were more capable of affecting others in related fields than the influential users listed by the Sina Weibo. [Limitations] The proposed method did not evaluate the impacts of user-generated contents in social network systems while measuring the users’ influence. [Conclusions] The proposed method could help business owners identify influential users in the social network system to improve the effectiveness of online advertisements.

Key wordsOnline advertisement placement    Social relationship graphs    Social capital measurements of users    Identification model of influential users
收稿日期: 2015-10-26     
基金资助:*本文系国家自然科学基金重大项目“面向大数据的商务分析与计算方法以及支撑平台” (项目编号: 71490725)和教育部人文社会科学研究规划基金项目“面向互联网大数据的舆论领袖话语影响力评估和治理方法研究” (项目编号: 14YJA630015)的研究成果之一
引用本文:   
何建民,殷澍. 社会关系网络中影响力用户发现方法研究*[J]. 现代图书情报技术, 2016, 32(4): 20-30.
He Jianmin,Yin Shu. Identifying Influential Users in Social Networks. New Technology of Library and Information Service, DOI:10.11925/infotech.1003-3513.2016.04.03.
链接本文:  
http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2016.04.03
[1] 何建民, 郑哲. 社交网络消费者抱怨“动机-行为”模型研究[J]. 合肥工业大学学报: 社会科学版, 2015, 29(1): 1-9.
[1] (He Jianmin, Zheng Zhe.Study of “Motivation-Behavior” Model of Consumers’ Complaints on Social Network[J]. Journal of Hefei University of Technology: Social Science, 2015, 29(1): 1-9.)
[2] O’Connor L G, Dillingham L L. Personal Experience as Social Capital in Online Investor Forums[J]. Library & Information Science Research, 2014, 36(1): 27-35.
[3] Drushel B E.HIV/AIDS, Social Capital, and Online Social Networks[J]. Journal of Homosexuality, 2013, 60(8): 1230-1249.
[4] Lin N.Social Capital: A Theory of Social Structure and Action [M]. Cambridge University Press, 2002.
[5] 唐晓波, 房小可. 融入社会关系的微博排名策略研究[J]. 现代图书情报技术, 2013(9): 74-81.
[5] (Tang Xiaobo, Fang Xiaoke.Research on Microblog Ranking Strategy with the Social Relations[J]. New Technology of Library and Information Service, 2013(9): 74-81.)
[6] Subbian K, Sharma D, Wen Z, et al.Finding Influencers in Networks Using Social Capital [C]. In: Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.2013: 25-28.
[7] Zhu Z, Su J, Kong L.Measuring Influence in Online Social Network Based on the User-Content Bipartite Graph[J]. Computers in Human Behavior, 2015, 52: 184-189.
[8] Ding Z, Wang H, Guo L, et al.Finding Influential Users and Popular Contents on Twitter [C]. In: Proceedings of the 16th International Conference on Web Information System Engineering, Miami, FL, USA. Springer International Publishing, 2015: 267-275.
[9] Tang B, Lu T, Gu H, et al.Measuring Domain-Specific User Influence in Microblogs: An Actor-Network Theory Based Approach [C]. In: Proceedings of the 19th International Conference on Computer Supported Cooperative Work in Design. IEEE, 2015: 314-319.
[10] Montangero M, Furini M.TRank: Ranking Twitter Users According to Specific Topics [C]. In: Proceedings of the 12th Conference on Consumer Communications and Networking, Las Vegas, NV, USA. IEEE, 2015: 767-772.
[11] Tarokh M J, Arian H S, Speily O R B. Discovering Influential Users in Social Media to Enhance Effective Advertisement[J]. Advances in Computer Science: An International Journal, 2015, 4(5): 23-28.
[12] Liu N, Li L, Xu G, et al.Identifying Domain-Dependent Influential Microblog Users: A Post-Feature Based Approach [C]. In: Proceedings of the 28th AAAI Conference on Artificial Intelligence. AAAI, 2014: 3122-3123.
[13] Ding Z, Jia Y, Zhou B, et al.Mining Topical Influencers Based on the Multi-relational Network in Micro-blogging Sites[J]. Communications, 2013, 10(1): 93-104.
[14] 丁兆云, 周斌, 贾焰, 等. 微博中基于多关系网络的话题层次影响力分析[J]. 计算机研究与发展, 2013, 50(10): 2155-2175.
[14] (Ding Zhaoyun, Zhou Bin, Jia Yan, et al.Topical Influence Analysis Based on the Multi-Relational Network in Microblogs[J]. Journal of Computer Research and Development, 2013, 50(10): 2155-2175.)
[15] 齐超, 陈鸿昶, 于洪涛. 基于用户行为综合分析的微博用户影响力评价方法[J]. 计算机应用研究, 2014, 31(7): 2004-2007.
[15] (Qi Chao, Chen Hongchang, Yu Hongtao.Method of Evaluating Micro-blog Users’ Influence Based on Comprehensive Analysis of User Behavior[J]. Application Research of Computers, 2014, 31(7): 2004-2007.)
[16] 左文明, 王旭, 樊偿. 社会化电子商务环境下基于社会资本的网络口碑与购买意愿关系[J]. 南开管理评论, 2014 (4): 140-150.
[16] (Zuo Wenming, Wang Xu, Fan Chang.Relationship Between Electronic Word of Mouth and Purchase Intention in Social Commerce Environment: A Social Capital Perspective[J]. Nankai Business Review, 2014(4): 140-150.)
[17] Wu X, Kumar V.The Top Ten Algorithms in Data Mining[M]. Chapman and Hall/CRC, 2009.
[18] 毛佳昕, 刘奕群, 张敏, 等. 基于用户行为的微博用户社会影响力分析[J]. 计算机学报, 2014, 37(4): 791-798.
[18] (Mao Jiaxin, Liu Yiqun, Zhang Min, et al.Social Influence Analysis for Micro-blog User Based on User Behavior[J]. Chinese Journal of Computers, 2014, 37(4): 791-798.)
[19] Russell M A.Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More[M]. O’Reilly Media, 2013.
[20] Li L, Sun L, Ning G.Deterioration Prediction of Urban Bridges on Network Level Using Markov-Chain Model[J]. Mathematical Problems in Engineering, 2014, 9(1): 129-145.
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