Ren, Z.M., Liu, J.G., Shao, F., Hu, Z.L. and Guo, Q. (2017) Analysis of the Spreading Influence of the Nodes with Minimum K-Shell Value in Complex Networks. Acta Physica Sinica, 62, Article ID: 108902.

has been cited by the following article:

• TITLE: Exploring the Identification and Effects of “Opinion Leader” under Different Information Release Strategies

  AUTHORS: Si Yang

  KEYWORDS: Social Network, Nodes Influence, Online Word-of-Mouth, Multi-Agent Simulation

  JOURNAL NAME: Social Networking, Vol.7 No.3, July 23, 2018

  ABSTRACT: This paper systematically analyzes the models and processes related to wordof- mouth spreading in social networks. This paper simulates the characteristics and rules of word-of-mouth spreading on social network platforms, adopts network evolution models as well as virus spreading models which can precisely reflect the process of word-of-mouth spreading. By computer simulation, the effect of several kinds of parameters in networks and in wordof- mouth spreading model is analyzed. What has been proved, through parameter analysis, is that the secondary “push” of the key node (opinion leader) in social networks has played a significant role in promoting word-of-mouth spreading. In practical applications, shopkeepers can act appropriately to the situation, which means they put in a second period of advertise appropriately after placing one advertisement at random in order to save costs and increase efficiency.