[gov3009-l] Onnela on "Community structure in time-dependent, multiscale, and multiplex networks"

Hi all, We hope that you can join us at the Applied Statistics Workshop this Wednesday, October 13th when we're excited to have Jukka-Pekka Onnela presenting on community structures in networks. JP is a Postdoctoral Research Fellow at the Harvard Medical School, where he works on theoretical and applied problems with large-scale social and health networks. This talk will be based on work recently published in Science. You will find an abstract and a link to the paper below. A light lunch (Thai) will be provided. "Community structure in time-dependent, multiscale, and multiplex networks" Jukka-Pekka Onnela Harvard Medical School Wednesday, October 13th, 12 noon CGIS K354 (1737 Cambridge St) Abstract: During the last decade, the science of networks has grown into an enormous interdisciplinary endeavor, with methods and applications drawn from across the natural, social, and information sciences. One of the most important and prominent ideas from network science is the algorithmic detection of tightly-connected groups of nodes known as communities. Here we develop a formulation to detect communities in a very broad setting by studying general dynamical processes on networks. We create a new framework of network quality functions that allows us to study the community structure of arbitrary multislice networks, which are combinations of individual networks coupled through additional links that connect each node in one network slice to itself in other slices. This new framework allows one for the first time to study community structure in a very general setting that encompasses networks that evolve in time, have multiple types of ties (multiplexity), and have multiple scales. Paper: http://jponnela.com/web_documents/a25.pdf Cheers, matt. ~~~~~~~~~~~ Matthew Blackwell PhD Candidate Institute for Quantitative Social Science Department of Government Harvard University url: http://people.fas.harvard.edu/~blackwel/