Internet forums, weblogs, social networks, and photo and video
sharing websites are some forms of social media that are at the forefront
of enabling communication among individuals. The rich information
captured in social media has enabled a variety behavioral
research assisting domains such as marketing, finance, public health
and governance etc. Furthermore, social media is believed to be capable
of providing valuable insights into understanding information
diffusion phenomena such as social influence, opinion formation
and rumor spread. Here, we propose a semi-automated approach
with prototype implementation that constructs interaction graphs to
enable such behavioral studies. We construct first and second degree
interaction graphs from Stackoverflow, a programming forum,
and CNN Political Ticker, a political news blog.