Title: Virality Prediction in Social Networks leveraging Network characteristics
Speaker: Siddharth Bora
Abstract:
Online Social networks face a plethora of topics that vary in their
spread in the network. Among these there are certain topics that spread
to a very large audience - the ones we term as "viral". A question that
now arises is that are there certain states in the network that a viral
topic passes through ? Can we identify such states or instances and be
able to predict that a topic floating in an online network will go viral
in the coming future ? In this talk, we would discuss how the early
spreading pattern of a topic would influence its virality. Also, what
role would communities in such a network play in spreading of the topic.
Further what other information can be leveraged that could aid in
identifying topics that exhibit such unusual behavior - this would
encompasses discussing about geographies, community concentration, etc.