Finding K-Most Influential Users in Social Networks for Information Diffusion Based on Network Structure and Different User Behavioral Patterns.
Maryam ShahsavariAlireza Hashemi GolpayeganiPublished in: ICEBE (2017)
Keyphrases
- information diffusion
- network structure
- behavioral patterns
- social networks
- influential nodes
- viral marketing
- social media sites
- heterogeneous social networks
- social influence
- social media
- social graph
- online social networks
- diffusion models
- user interaction
- diffusion model
- social networking sites
- network analysis
- social network analysis
- communication networks
- user interface
- link prediction
- online communities
- complex networks
- user profiles
- influence maximization
- user behavior
- community detection
- recommender systems
- dynamic networks
- social networking
- user experience
- online social
- behavior patterns
- social interaction
- network evolution
- information flow
- user interests
- collaborative filtering
- small world
- real world networks
- network properties
- behavior analysis
- social network data
- community discovery
- steady state
- smart phones
- opinion leaders