Microscopic Evolution of Social Networks

Wednesdays@NICO Seminar, Noon, March 19, 2014, Chambers Hall, Lower Level

Professor Nitesh Chawla, University of Notre Dame

Network evolution drives not only the emergence of macroscopic scaling but also the microscopic behaviors. We consider two fundamental microscopic problems: the node's inuence evolution and the link formation prediction to identify possible dynamical origin underlying social network microscopic evolution. We have developed a novel framework for the microscopic evolution, where the mechanisms of preferential attachment and triadic closure are well balanced. I will present this framework, along with the empirical validation on two concrete problems -- node's future influence and future link formation between two nodes. I will share the possibilities of microscopic insights about social network evolution. 
Nitesh Chawla is the 
Frank Freimann Collegiate Chair of Engineering  and Associate Professor of Computer Science and Engineering at University of Notre Dame. His research is focused on Big Data, network science, and data science. He is at the frontier of interdisciplinary applications with innovative work in healthcare analytics, medicine, social networks, and climate/environmental sciences. He is the Director of Notre Dame Interdisciplinary Center for Network Science and Applications (iCeNSA). serves as a PI/Co-PI on over $11 Million Dollars of External Research Funding (since 2007). He  is the recipient of multiple awards for research and teaching innovation including outstanding teacher awards (2007 and 2010), National Academy of Engineers New Faculty Fellowship, and a number of best paper awards and nominations.  He received the IBM Watson Faculty Award in 2012 and the IBM Big Data and Analytics Faculty Award in 2013. He was the chair of the IEEE CIS Data Mining Technical Committee (2010-2012) and the current Chair of the IEEE CIS Task Force on Big Data.