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基于社交網(wǎng)絡(luò)的社交行為分析

李磊,  汪萌,  吳信東

李磊, 汪萌, 吳信東. 基于社交網(wǎng)絡(luò)的社交行為分析[J]. 電子與信息學(xué)報(bào), 2017, 39(9): 2108-2118. doi: 10.11999/JEIT161273
引用本文: 李磊, 汪萌, 吳信東. 基于社交網(wǎng)絡(luò)的社交行為分析[J]. 電子與信息學(xué)報(bào), 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

基于社交網(wǎng)絡(luò)的社交行為分析

doi: 10.11999/JEIT161273
  • 1.

    (合肥工業(yè)大學(xué)計(jì)算機(jī)與信息學(xué)院 合肥 230009) ②(路易斯安那州立大學(xué)計(jì)算機(jī)與信息學(xué)院 拉斐特 70503)

基金項(xiàng)目: 

國(guó)家973規(guī)劃項(xiàng)目(2013CB329604)，國(guó)家重點(diǎn)研發(fā)計(jì)劃(2016YFB1000901)，國(guó)家自然科學(xué)基金(61503114)

Social Network Based Social Behavior Analysis

  • 1.

    (School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230009, China)

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: 近來(lái)，社交網(wǎng)絡(luò)類(lèi)應(yīng)用得到了迅猛發(fā)展。其中，社交網(wǎng)絡(luò)相關(guān)的社交行為是最主要的發(fā)展方向之一，得到了學(xué)術(shù)界研究者的廣泛關(guān)注。該文從行為的成因、行為的表現(xiàn)及行為的影響3個(gè)方面對(duì)社交網(wǎng)絡(luò)行為進(jìn)行全面分析。具體來(lái)說(shuō)，在分析了社交網(wǎng)絡(luò)行為的基礎(chǔ)概念之后，首先引入了社交網(wǎng)絡(luò)行為的3個(gè)最重要的原因：用戶采納、用戶忠誠(chéng)和用戶信任。然后，基于這些原因，從一般使用行為，內(nèi)容生成行為和內(nèi)容消費(fèi)行為3個(gè)常用行為方面分析了用戶在社交網(wǎng)絡(luò)上的行為表現(xiàn)方式。最后，該文分析了社交網(wǎng)絡(luò)行為的影響，包括行為影響力衡量和行為引導(dǎo)兩個(gè)最重要角度。社交行為的系統(tǒng)性分析為下一步相關(guān)研究指明了方向。
    Abstract: Recently, social network applications develop dramatically. Social network related social behaviors are one of the most important areas, which receive broadly attentions from researchers in academics. This survey paper analyzes the social behaviors comprehensively with respect to the causes of social behaviors, the performance of social behaviors and the influence of social behaviors. More specifically, after analyzing the basic concepts of behaviors in social networks, the three most important causes of behaviors in social networks are firstly introduced, such as user adoption, user loyalty and user trust. With these causes, the performance of user behaviors in social networks can be analyzed with respect to three common behaviors, including general usage behaviors, content creation behaviors and content consumption behaviors. Finally, the research on the influence of social network behaviors is presented, which includes the most important aspects, such as influence evaluation and behavior induction. The systematical analysis of social behaviors points out the future directions of related research in next steps.
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  • 收稿日期:  2016-11-24
  • 修回日期:  2017-04-28
  • 刊出日期:  2017-09-19

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