  In this work, we analyse and predict the stability of communities in complex
networks. We use a variant of closeness centrality, known as profile closeness,
to measure the loyalty of a member towards its community. We show that the
profile closeness is an adequate indicator of how communities evolve in a
network. We investigate this in static as well as dynamic (temporal) networks
and establish the relevance of profile closeness in predicting the evolution of
a complex network.
  Keywords: Small world networks , Centrality , Community , Closeness ,
Clustering
