Modeling of social networks is used in sociology, economics, social psychology, public health, management, politics etc. As information and communication technologies continue to expand, the need arises to develop analytical strategies capable of accommodating new and larger sets of social network data. Currently most popular models that describe different kind of social interactions are Exponential Random Graph Models (ERGMs). The main objective of the project is to develop and co-design a new evaluation framework that extends the possibility of specifying and estimating ERGMs for the analysis of very large social networks. This is done by combining new algorithmic ideas with state of the art knowledge in software development for high-performance computing. The project is carried out in collaboration between the Università della Svizzera italiana (USI) and the University of Melbourne, Australia.
Professor Alessandro Lomi; ; PI; ICS Institute of Computational Science
Researcher Dr. Maksym Byshkin; Co-PIs; ICS Institute of Computational Science
Professor Antonietta Mira; Co-PIs; ICS Institute of Computational Science
Professor Garry Robins; Co-PIs; University of Melbourne
Researcher Dr. Alex Stivala; Co-PIs; University of Melbourne