Understanding Social Effects in Online Networks

被引:0
|
作者
Alhazmi, Huda [1 ]
Gokhale, Swapna S. [1 ]
Doran, Derek [2 ]
机构
[1] Univ Connecticut, Dept Comp Sci & Engn, Storss, CT 06269 USA
[2] Wright State Univ, Dept Comp Sci & Engn, Dayton, OH 45435 USA
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Understanding the motives behind people's interactions online can offer sound bases to predict how a social network may evolve and also support a host of applications. We hypothesize that three offline social factors, namely, stature, relationship strength, and egocentricity may also play an important role in driving users' interactions online. Therefore, we study the influence of these three social factors in online interactions by analyzing the transitivity in triads or three-way relationships among users. Analyzing transitivity through the lens of triad census for four popular social networks, namely, Facebook, Twitter, YouTube and Slashdot, we find that: (i) users' interactions are largely influenced by intermediary relations, which enhances the mediators' stature; (ii) the strength of offline relationships plays a salient role in transitivity of relations online; and (iii) egocentricity, embodied in over-active and popular users, has a significant effect on the dynamics of online interactions.
引用
收藏
页码:863 / 868
页数:6
相关论文
共 50 条
  • [1] Understanding Evolutionary Dynamics in Online Social Networks
    Oka, MIzuki
    Hashimoto, Yasuhiro
    Ikegami, Takashi
    [J]. 2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2017,
  • [2] Understanding Latent Interactions in Online Social Networks
    Jiang, Jing
    Wilson, Christo
    Wang, Xiao
    Sha, Wenpeng
    Huang, Peng
    Dai, Yafei
    Zhao, Ben Y.
    [J]. ACM TRANSACTIONS ON THE WEB, 2013, 7 (04)
  • [3] Understanding Online Social Networks' Users - A Twitter Approach
    Delcea, Camelia
    Cotfas, Liviu-Adrian
    Paun, Ramona
    [J]. COMPUTATIONAL COLLECTIVE INTELLIGENCE: TECHNOLOGIES AND APPLICATIONS, ICCCI 2014, 2014, 8733 : 145 - 153
  • [4] Understanding User Behavior in Online Social Networks: A Survey
    Jin, Long
    Chen, Yang
    Wang, Tianyi
    Hui, Pan
    Vasilakos, Athanasios V.
    [J]. IEEE COMMUNICATIONS MAGAZINE, 2013, 51 (09) : 144 - 150
  • [5] Understanding Multilingual Social Networks in Online Immigrant Communities
    Papalexakis, Evangelos E.
    Dogruoz, A. Seza
    [J]. WWW'15 COMPANION: PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB, 2015, : 865 - 870
  • [6] Understanding and Enabling Online Social Networks to Support Healthy Behaviors
    Contractor, Noshir
    [J]. ADVANCES IN SOCIAL COMPUTING, PROCEEDINGS, 2010, 6007 : 169 - 169
  • [7] Towards understanding bogus traffic service in online social networks
    He, Ping
    Zhang, Xuhong
    Lin, Changting
    Wang, Ting
    Ji, Shouling
    [J]. FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2024, 25 (03) : 415 - 431
  • [8] A Visual Model for Privacy Awareness and Understanding in Online Social Networks
    Tran Tri Dang
    Kueng, Josef
    [J]. FUTURE DATA AND SECURITY ENGINEERING (FDSE 2019), 2019, 11814 : 383 - 398
  • [9] Understanding Community Dynamics in Online Social Networks A multidisciplinary review
    Sundaram, Hari
    Lin, Yu-Ru
    De Choudhury, Munmun
    Kelliher, Aisling
    [J]. IEEE SIGNAL PROCESSING MAGAZINE, 2012, 29 (02) : 33 - 40
  • [10] Understanding Cross-Site Linking in Online Social Networks
    Gong, Qingyuan
    Chen, Yang
    Hu, Jiyao
    Cao, Qiang
    Hui, Pan
    Wang, Xin
    [J]. ACM TRANSACTIONS ON THE WEB, 2018, 12 (04)