Using epidemic betweenness to measure the influence of users in complex networks.
Sheng WenJiao Jiao JiangBo LiuYang XiangWanlei ZhouPublished in: J. Netw. Comput. Appl. (2017)
Keyphrases
- complex networks
- betweenness centrality
- social influence
- network structure
- social networks
- social network analysis
- degree centrality
- graph theory
- community structure
- centrality measures
- scale free
- community detection
- information theoretic concepts
- network analysis
- link prediction
- small world
- user interface
- recommender systems
- viral marketing
- biological networks
- functional modules
- collaborative filtering
- community detection algorithms
- network motifs
- scale free networks
- web resources
- network evolution
- public health
- structural properties
- social media
- data analysis