Name
Abstract | ||
|---|---|---|
It is well known that social networks are composed of many communities of nodes, where the nodes of the same community are highly connected, and few links are between the nodes of different communities. We observe scenarios in both real-world networks as well as computer networks that opinions of nodes in the networks can be aware of the existence of communities and take them into account during opinion formation. Based on the observations, we propose the first community-aware opinion dynamics model called Sznajd^2 by applying the famous Sznajd model on the inter-community level and intra-community level. We then briefly introduce coupled fully connected networks (CFCN), analyze our model theoretically on it, and reveal that when interconnectivity parameter v u003e 0.172, nodes in the networks are surely to reach consensus on opinions along time, and when v0.31 at least, which is nearly two times big than our model. |
Year | Venue | Field |
|---|---|---|
2016 | Trustcom/BigDataSE/ISPA | Sznajd model,Community structure,Opinion formation,Social network,Computer science,Computer security,Interconnectivity,Evolving networks,Computer network,Hierarchical network model,Opinion dynamics |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Houwu Chen | 1 | 0 | 1.01 |
| Jiwu Shu | 2 | 709 | 72.71 |