Measuring influence in online social network based on the user-content bipartite graph.
With the rising of online social networks, influence has been a complex and subtle force to govern users’ behaviors and relationship formation. Therefore, how to precisely identify and measure influence has been a hot research direction. Differentiating from existing researches, we are devoted to co...
| Publicado en: | Computers in Human Behavior Vol. 52; pp. 184 - 190 |
|---|---|
| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Elsevier B.V.
Nov2015
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |