Prof. Boleslaw Szymanski presented an invited talk on "Challenges of Parallel Processing for Network Science" at ICM, Warsaw, Poland on September 6, 2017.

On September 6, 2017, Prof. Szymanski presented an invited talk on "Challenges of Parallel Processing for Network Science" at ICM, the Interdisciplinary Centre for Mathematical and Computational Modeling at Warsaw University in Poland. The talk focuses on the challenges of parallel processing for network science. The rapid growth of the volume of data collected from networks fuels the urgency of using parallel processing to provide timely network analysis. The main challenge to fulfilling this need is the network connectivity. In many physical world simulations interacting components are located close to each other, and computational stencils are regular. In contrast, social, biological, and some other types of networks allow for distant and irregularly structured communication. Consequently, partitioning of such networks for parallel processing is challenging and often invokes heavy communication overhead. It is especially so for networks which represent social interactions or biological processes at different levels of abstraction. We discuss these challenges and the corresponding solutions using community detection and prediction of virality social news media spread as examples.