SCIRP Mobile Website
Paper Submission

Why Us? >>

  • - Open Access
  • - Peer-reviewed
  • - Rapid publication
  • - Lifetime hosting
  • - Free indexing service
  • - Free promotion service
  • - More citations
  • - Search engine friendly

Free SCIRP Newsletters>>

Add your e-mail address to receive free newsletters from SCIRP.

 

Contact Us >>

WhatsApp  +86 18163351462(WhatsApp)
   
Paper Publishing WeChat
Book Publishing WeChat
(or Email:book@scirp.org)

Article citations

More>>

S. Wasserman and K. Faust, “Social Network Analysis: Methods and Applications,” Cambridge University Press, Cambridge, 1994. doi:10.1017/CBO9780511815478

has been cited by the following article:

  • TITLE: Impacts of Opinion Propagation on Social Balance

    AUTHORS: Songlin Zhang, Lixue Chen, Dong Hu, Yuefei Guo

    KEYWORDS: Opinion Diffusion; Relationship Evolution; Social Balance; Complex Network; Coevolution

    JOURNAL NAME: Journal of Modern Physics, Vol.4 No.2, February 27, 2013

    ABSTRACT: In social networks, opinions diffusion often leads to relationships evolution. Then changes of relationships result in the change of balance degree of social system. We simulate the opinion diffusion on Barabasi & Albert (BA) network and Watts & Strogatz (WS) network to study the effects of the two types of networks, dynamical parameters and structural parameters on the balance degree of system. We employ the spectral analysis to quantify the balance degree of system before and after opinion propagation. The result reveals that it is very similar effect of BA networks and WS networks on it. However, it is opposite effects between dynamical parameters and structural parameters. The balance degree of system is proportional to the two dynamical factors (P,Q) at initial state and always inversely proportional to the two structural factors (,Pne) at initial and convergence state.