Analysis of information propagation in academic social networks

The emergence of Academic Social Networks (ASNs) has provided opportunities for researchers to upload their publication work, discuss issues with an author, ask questions and build a connection between the researcher communities. With this large information available online, there is need of analyzing the information propagation in ASNs. In this paper, we analyzed the topic propagation in ASNs. We have used the popular academic search engine, Google Scholar for data collection and statistical software `R' for data analysis. We used a scrapper collect the data set from Google Scholar and around 500 papers were examined to find the propagation of the current trend of topics in the specific domain. The result helps the novice researchers to choose the current trending topics and work on the issues in this topic.