1 research outputs found
Multi-View Community Detection in Facebook Public Pages
Community detection in social networks is widely studied because of its
importance in uncovering how people connect and interact. However, little
attention has been given to community structure in Facebook public pages. In
this study, we investigate the community detection problem in Facebook
newsgroup pages. In particular, to deal with the diversity of user activities,
we apply multi-view clustering to integrate different views, for example, likes
on posts and likes on comments. In this study, we explore the community
structure in not only a given single page but across multiple pages. The
results show that our method can effectively reduce isolates and improve the
quality of community structure