Comparison on Attention Automaton Sensing Collective user Interests in Social Network Communities

Social activity at present requires substantial fraction of time on the web for information dissemination. Content sharing results in a complex interplay between individual and attention received from others. The wide-spread adoption of various technologies leads to new approaches that differ from traditional approaches for information sharing among the communities. The attention of communities will be based on the unique features. The previous research works still does not help us to quantify the collective attention affinity that exists in user group and dynamics of attention between collective users is different from individual user. The paper deals with a study that addresses the above limitations.