高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于社交网络的社交行为分析

李磊 汪萌 吴信东

李磊, 汪萌, 吴信东. 基于社交网络的社交行为分析[J]. 电子与信息学报, 2017, 39(9): 2108-2118. doi: 10.11999/JEIT161273
引用本文: 李磊, 汪萌, 吴信东. 基于社交网络的社交行为分析[J]. 电子与信息学报, 2017, 39(9): 2108-2118. doi: 10.11999/JEIT161273
LI Lei, WANG Meng, WU Xindong. Social Network Based Social Behavior Analysis[J]. Journal of Electronics & Information Technology, 2017, 39(9): 2108-2118. doi: 10.11999/JEIT161273
Citation: LI Lei, WANG Meng, WU Xindong. Social Network Based Social Behavior Analysis[J]. Journal of Electronics & Information Technology, 2017, 39(9): 2108-2118. doi: 10.11999/JEIT161273

基于社交网络的社交行为分析

doi: 10.11999/JEIT161273
基金项目: 

国家973规划项目(2013CB329604),国家重点研发计划(2016YFB1000901),国家自然科学基金(61503114)

Social Network Based Social Behavior Analysis

Funds: 

The National 973 Program of China (2013CB329604), The National Key Research and Development Program of China (2016YFB1000901), The National Natural Science Foundation of China (61503114)

  • 摘要: 近来,社交网络类应用得到了迅猛发展。其中,社交网络相关的社交行为是最主要的发展方向之一,得到了学术界研究者的广泛关注。该文从行为的成因、行为的表现及行为的影响3个方面对社交网络行为进行全面分析。具体来说,在分析了社交网络行为的基础概念之后,首先引入了社交网络行为的3个最重要的原因:用户采纳、用户忠诚和用户信任。然后,基于这些原因,从一般使用行为,内容生成行为和内容消费行为3个常用行为方面分析了用户在社交网络上的行为表现方式。最后,该文分析了社交网络行为的影响,包括行为影响力衡量和行为引导两个最重要角度。社交行为的系统性分析为下一步相关研究指明了方向。
  • FANG B, XU J, LI J, et al. Online social network analysis[J]. Publishing House of Electronics Industry, 2015, 30(2): 187-199.
    GOYAL A, BONCHI F, and LAKSHMANAN L V S. Learning influence probabilities in social networks[C]. Proceedings of the third ACM international conference on Web search and data mining, New York, NY, USA, 2010: 241-250. doi: 10.1145/1718487.1718518.
    NEWMAN M E J. Networks: An Introduction[M]. Oxford, UK, Oxford University, 2010: 1-784.
    陈季梦, 陈佳俊, 刘杰, 等. 基于结构相似度的大规模社交网络聚类算法[J]. 电子与信息学报, 2015, 37(2): 449-454. doi: 10.11999/JEIT140512.
    CHEN Jimeng, CHEN Jiajun, LIU Jie, et al. Clustering algorithms for large-scale social networks based on structural similarity[J]. Journal of Electronics Information Technology, 2015, 37(2): 449-454. doi: 10.11999/JEIT140512.
    刘世超, 朱福喜, 甘琳. 基于标签传播概率的重叠社区发现算法[J]. 计算机学报, 2016, 39(4): 717-729. doi: 10.11897/ SP.J.1016.2016.00717.
    LIU Shichao, ZHU Fuxi, and GAN Lin. A label-propagation- probability-based algorithm for overlapping community detection[J]. Chinese Journal of Computers, 2016, 39(4): 717-729. doi: 10.11897/SP.J.1016.2016.00717.
    罗恩韬, 王国军. 移动社交网络中一种朋友发现的隐私安全保护策略[J]. 电子与信息学报, 2016, 38(9): 2165-2172. doi: 10.11999/JEIT151479.
    LUO Entao and WANG Guojun. A novel friends matching privacy preserving strategy in mobile social networks[J]. Journal of Electronics Information Technology, 2016, 38(9): 2165-2172. doi: 10.11999/JEIT151479.
    张少波, BHUIYAN Z A, 刘琴, 等. 移动社交网络中基于代理转发机制的轨迹隐私保护方法[J]. 电子与信息学报, 2016, 38(9): 2158-2164. doi: 10.11999/JEIT151136.
    ZHANG Shaobo, BHUIYAN Z A, LIU Qin, et al. The method of trajectory privacy preserving based on agent forwarding mechanism in mobile social networks[J]. Journal of Electronics Information Technology, 2016, 38(9): 2158-2164. doi: 10.11999/JEIT151136.
    谢柏林, 蒋盛益, 周咏梅, 等. 基于把关人行为的微博虚假信息及早检测方法[J]. 计算机学报, 2016, 39(4): 730-744. doi: 10.11897/SP.J.1016.2016.00730.
    XIE Bailin, JIANG Shengyi, ZHOU Yongmei, et al. Misinformation detection based on gatekeepers' behaviors in microblog[J]. Chinese Journal of Computers, 2016, 39(4): 730-744. doi: 10.11897/SP.J.1016.2016.00730.
    张玉清, 吕少卿, 范丹. 在线社交网络中异常帐号检测方法研究[J]. 计算机学报, 2015, 38(10): 2011-2027. doi: 10.11897/ SP.J.1016.2015.02011.
    ZHANG Yuqing, L Shaoqing, and FAN Dan. Anomaly detection in online social networks[J]. Chinese Journal of Computers, 2015, 38(10): 2011-2027. doi: 10.11897/SP.J. 1016.2015.02011.
    MAIA M, ALMEIDA J, and ALMEIDA V. Identifying user behavior in online social networks[C]. Proceedings of the 1st Workshop on Social Network Systems, Glasgow, Scotland, UK, 2008: 1-6. doi: 10.1145/1435497.1435498.
    张锡哲, 吕天阳, 张斌. 基于服务交互行为的复杂服务协同网络建模[J]. 软件学报, 2016, 27(2): 231-246. doi: 10.13328 /j.cnki.jos.004847.
    ZHANG Xizhe, LU Tianyang, and ZHANG Bin. Modeling complex collaboration network for service-oriented software based on execution behaviors[J]. Journal of Software, 2016, 27(2): 231-246. doi: 10.13328/j.cnki.jos.004847.
    KWON O and WEN Y. An empirical study of the factors affecting social network service use[J]. Computers in Human Behavior, 2010, 26(2): 254-263. doi: 10.1016/j.chb.2009.04. 011.
    NIKOU S and BOUWMA H. Ubiquitous use of mobile social network services[J]. Telematics and Informatics, 2014, 31(3): 422-433. doi: 10.1016/j.tele.2013.11.002.
    SLEDGIANOWSKI D and KULVIWAT S. Social network sites: Antecedents of user adoption and usage[C]. Proceedings of the 14th Americas Conference on Information Systems, Toronto, 2008: 83-93. doi: 10.4018/jantti.2010040104.
    WU Y C J, SHEN J P, and CHANG C L, Electronic service quality of Facebook social commerce and collaborative learning[J]. Computers in Human Behavior, 2015, 51(B), 1395-1402. doi: 10.1016/j.chb.2014.10.001.
    BAKER R K and WHITE K M. Predicting adolescents use of social networking sites from an extended theory of planned behaviour perspective[J]. Computers in Human Behavior, 2010, 26(6): 1591-1597. doi: 10.1016/j.chb.2010.06.006.
    PELLING E L and WHITEK M. The theory of planned behavior applied to young peoples use of social networking web sites[J]. CyberPsychology Behavior, 2009, 12(6): 755-759. doi: 10.1089/cpb.2009.0109.
    CHANG Y P and ZHU D H. Understanding social networking sites adoption in China: A comparison of pre-adoption and post-adoption[J]. Computers in Human Behavior, 2011, 27(5): 1840-1848. doi: 10.1016/j.chb.2011.04. 006.
    YAZDANPANAH M and FOROUZANI M. Application of the theory of planned behaviour to predict Iranian students' intention to purchase organic food[J]. Journal of Cleaner Production, 2015, 107: 342-352. doi: 10.1016/j.jclepro.2015. 02.071.
    KANG Y S, HONG S, and LEE H. Exploring continued online service usage behavior: The roles of self-image congruity and regret[J]. Computers in Human Behavior, 2009, 25(1): 111-122. doi: 10.1016/j.chb.2008.07.009.
    YAO C and SHAO P. An empirical research of social network sites continuance: Based on a modified expectation- confirmation model[J]. China Journal of Information Systems, 2011, 8(1): 23-33.
    SHIN S and HALL D J. Identifying factors affecting SNS users as a temporary or persistent user: An empirical study [C]. Proceedings of the Seventeenth Americas Conference on Information Systems, Detroit, Michigan, USA, 2011: 316-417.
    ZHANG H, LU Y, GUPTA S, et al. Understanding group- buying websites continuance-an extension of expectation confirmation model[J]. Internet Research, 2015, 25(5): 767-793. doi: 10.1108/IntR-05-2014-0127.
    ZHOU T, LI H, and LIU Y. The effect of flow experience on mobile SNS users loyalty[J]. Industrial Management Data Systems, 2010, 110(6): 930-946. doi: 10.1108/026355710110 5126.
    HSU C L and WU C. Understanding users continuance of Facebook: An integrated model with the unified theory of acceptance and use of technology, expectation disconfirmation model, and flow theory[J]. International Journal of Virtual Communities and Social Networking, 2011, 3(2): 1-16. doi: 10.4018/jvcsn.2011040101.
    WU Y, WANG Z, CHANG K, et al. Why people stick to play social network site based entertainment applications: Design factors and flow theory perspective[C]. Pacific Asia Conference on Information Systems, Taipe, 2010: 1041-1050.
    CHANG C C. Examining users intention to continue using social network games: A flow experience perspective[J]. Telematics and Informatics, 2013, 30(4): 311-321. doi: 10.1016/j.tele.2012.10.006.
    HUANG C H, HSU M C, and CHANG H M. An exploratory study of social game by flow theory and social network theory [C]. International Conference on Computer Science and Intelligent Communication (CSIC 2015), 2015: 418-421.
    韩祺祎, 任梦吟, 文红. 基于拓扑势的P2P社区推荐信任模型[J]. 电子与信息学报, 2015, 37(6): 1279-1284. doi: 10.11999/ JEIT141303.
    HAN Qiyi, REN Mengyin, and WEN Hong. Topological potential based recommendation trust model for P2P communities system[J]. Journal of Electronics Information Technology, 2015, 37(6): 1279-1284. doi: 10.11999/JEIT 141303.
    KRAMER R M. Trust and distrust in organizations: Emerging perspectives, enduring questions[J]. Annual Review of Psychology, 1999, 50: 569-598. doi: 10.1146/annurev. psych.50.1.569.
    LI L and WANG Y. The roadmap of trust and trust evaluation in Web applications and Web services[J]. Advanced Web Services, 2014: 75-99. doi: 10.1007/978-1- 4614-7535-4_4.
    LI L, WANG Y, LIU G, et al. Context-aware reviewer assignment for trust enhanced peer review[J]. PLoS ONE, 2015, 10(6). e0130493. doi: 10.1371/journal.pone.0130493.
    BOON S D and HOLMES J G. The Dynamics of Interpersonal Trust: Resolving Uncertainty in the Face of Risk[M]. Cambridge UK: Cambridge University, 1991: 167-182.
    BREWER M B. In-group Favoritism: The Subtle Side of Intergroup Discrimination[M]. New York, USA, Russell Sage Found, 1996: 160-171.
    MARCH J G. A Primer on Decision Making: How decisions Happen[M]. New York, USA, Free Press, 2009: 1-289.
    GOLBECK J and HENDLER J. Accuracy of metrics for inferring trust and reputation in semantic Web-based social networks[C]. Proceedings of 14th International Conference on Knowledge Engineering and Knowledge Management, 2004: 116-131. doi: 10.1007/978-3-540-30202-5_8.
    GOLBECK J and HENDLER J. Inferring trust relationships in web-based social networks[J]. ACM Transactions on Internet Technology, 2006, 6(4): 497-529. doi: 10.1145/ 1183463.183470.
    GUHA R, KUMAR R, RAGHAVAN P, et al. Propagation of trust and distrust[C]. Proceedings of the 13th International Conference on World Wide Web, New York, NY, USA, 2004: 403-412. doi: 10.1145/988672.988727.
    WALTER F, BATTISTON S, and SCHWEITZER F. A model of a trust-based recommendation system on a social network[J]. AAMAS Journal, 2008, 16(1): 57-74. doi: 10. 1007/s10458-007-9021-x.
    JAMAIL M and ESTER M. Trustwalker: A random walk model for combining trust-based and item-based recommendation[C]. Proceedings of the 15th International Conference on Knowledge Discovery and Data Mining, Paris, France, 2009: 397-406. doi: 10.1145/1557019.1557067.
    GOLDER S A, WILKINSON D M, and HUBERMAN B A. Rhythms of Social Interaction: Messaging within a Massive Online Network/Communities and Technologies[M]. London: Communities and Technologies, 2007: 41-66.
    GYARMATI L and TRINH T A. Measuring user behavior in online social networks[J]. IEEE Network, 2010, 24(5): 26-31. doi: 10.1109/MNET.2010.5578915.
    WANG Y C, BURKE M, and KRAUT R E. Gender, topic, and audience response: An analysis of user-generated content on facebook[C]. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Paris, France, 2013: 31-34.
    QIU L, LIN H, RAMSAY J, et al. You are what you tweet: Personality expression and perception on twitter[J]. Journal of Research in Personality, 2012, 46(6): 710-718. doi: 10.1016 /j.jrp.2012.08.008.
    BOYLE K and JOHNSON T J. MySpace is your space? Examining self-presentation of MySpace users[J]. Computers in Human Behavior, 2010, 26(6): 1392-1399. doi: 10.1016/ j.chb.2010.04.015.
    TIFFERET S and VILNAI I. Gender differences in Facebook self-presentation: An international randomized study[J]. Computers in Human Behavior, 2014, 35(6): 388-399. doi: 10.1016/j.chb.2014.03.016.
    ZWOL R V. Flickr: Who is looking?[C]. Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, Fremont, CA, 2007: 184-190. doi: 10.1109/WI. 2007.22
    MORRIS M R, TEEVAN J, and PANOVICH K. What do people ask their social networks, and why?: A survey study of status message qa behavior[C]. Proceedings of the SIGCHI conference on Human factors in computing systems, Cambridge, MA, USA, 2010: 1739-1748. doi: 10.1145/ 1753326.1753587.
    SHEN H, LIU G, WANG H, et al. SocialQA: An online social network based question and answer system[J]. IEEE Transactions on Big Data, 2017, 3(1): 91-106. doi: 10.1109 /TBDATA.2016.2629487.
    高全力, 高岭, 杨建锋, 等. 上下文感知推荐系统中基于用户认知行为的偏好获取方法[J]. 计算机学报, 2015, 38(9): 1767-1776. doi: 10.11897/SP.J.1016.2015.01767.
    GAO Quanli, GAO Ling, YANG Jianfeng, et al. A preference elicitation method based on users, cognitive behavior for context-aware recommender system[J]. Chinese Journal of Computers, 2015, 38(9): 1767-1776. doi: 10.11897/ SP.J.1016. 2015.01767.
    王晨旭, 管晓宏, 秦涛, 等. 微博消息传播中意见领袖影响力建模研究[J]. 软件学报, 2015, 26(6): 1473-1485. doi: 10.13328 /j.cnki.jos.004627.
    WANG Chenxu, GUAN Xiaohong, QIN Tao, et al. Modeling on opinion leader,s influence in microblog message propagation and its application[J]. Journal of Software, 2015, 26(6): 1473-1485. doi: 10.13328/j.cnki.jos.004627.
    吴信东, 李毅, 李磊. 在线社交网络影响力分析[J]. 计算机学报, 2014, 37(4): 735-752. doi: 10.3724/SP.J.1016.2014.00735.
    WU Xindong, LI Yi, and LI Lei. Influence analysis of online social networks[J]. Chinese Journal of Computers, 2014, 37(4): 735-752. doi: 10.3724/SP.J.1016.2014.00735.
    许宇光, 潘惊治, 谢惠扬. 基于最小点覆盖和反馈点集的社交网络影响最大化算法[J]. 电子与信息学报, 2016, 38(4): 795-802. doi: 10.11999/JEIT160019.
    XU Yuguang, PAN Jingzhi, and XIE Huiyang. Minimum vertex covering and feedback vertex set-based algorithm for influence maximization in social network[J]. Journal of Electronics Information Technology, 2016, 38(4): 795-802. doi: 10.11999/JEIT160019.
    ROMERO D M, GALUBA W, ASUR S, et al. Influence and passivity in social media[J]. Ssrn Electronic Journal, 2010, 6913(1): 18-33. doi: 10.1007/978-3-642-23808-6_2.
    LI L, HE J, WANG M, et al. Trust agent-based behavior induction in social networks[J]. IEEE Intelligent Systems, 2016, 30(1): 31-55. doi: 10.1109/MIS.2016.6.
    刘宇, 吴斌, 曾雪琳, 等. 一种基于社交网络社区的组推荐框架[J]. 电子与信息学报, 2016, 38(9): 2150-2157. doi: 10.11999 /JEIT160544.
    LIU Yu, WU Bin, ZENG Xuelin, et al. A group recommendation framework based on social network community[J]. Journal of Electronics Information Technology, 2016, 38(9): 2150-2157. doi: 10.11999/JEIT 160544.
    王元卓, 于建业, 邱雯, 等. 网络群体行为的演化博弈模型与分析方法[J]. 计算机学报, 2015, 38(2): 282-300. doi: 10.3724 /SP.J.1016.2015.00282.
    WANG Yuanzhuo, YU Jianye, QIU Wen, et al. Evolutionary game model and analysis methods for network group behavior[J]. Chinese Journal of Computers, 2015, 38(2): 282-300. doi: 10.3724/SP.J.1016.2015.00282.
    刘玮, 贺敏, 王丽宏, 等. 基于用户行为特征的微博转发预测研究[J]. 计算机学报, 2016, 39(10): 1992-2006. doi: 10.11897 /SP.J.1016.2016.01992.
    LIU Wei, HE Min, WANG Lihong, et al. Research on microblog retweeting prediction based on user behavior features[J]. Chinese Journal of Computers, 2016, 39(10): 1992-2006. doi: 10.11897/SP.J.1016.2016.01992.
    邢千里, 刘列, 刘奕群, 等. 微博中用户标签的研究[J]. 软件学报, 2015, 26(7): 1626-1637. doi: 10.13328/j.cnki.jos.004655.
    XING Qianli, LIU Lie, LIU Yiqun, et al. Study on user tags in Weibo[J]. Journal of Software, 2015, 26(7): 1626-1637. doi: 10.13328/j.cnki.jos.004655.
    李慧嘉, 李慧颖, 李爱华. 多尺度的社团结构稳定性分析[J].计算机学报, 2015, 38(2): 301-312. doi: 10.3724/SP.J.1016. 2015.00301.
    LI Huijia, LI Huiying, and LI Aihua. Analysis of multi-scale stability in community structure[J]. Chinese Journal of Computers, 2015, 38(2): 301-312. doi: 10.3724/SP.J.1016. 2015.00301.
  • 加载中
计量
  • 文章访问数:  2272
  • HTML全文浏览量:  227
  • PDF下载量:  415
  • 被引次数: 0
出版历程
  • 收稿日期:  2016-11-24
  • 修回日期:  2017-04-28
  • 刊出日期:  2017-09-19

目录

    /

    返回文章
    返回