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Peter J. Mucha

Researcher at University of North Carolina at Chapel Hill

Publications -  202
Citations -  15500

Peter J. Mucha is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Network science & Modularity (networks). The author has an hindex of 53, co-authored 190 publications receiving 13661 citations. Previous affiliations of Peter J. Mucha include Dartmouth College & Georgia Institute of Technology.

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Community Structure in Time-Dependent, Multiscale, and Multiplex Networks

TL;DR: A generalized framework of network quality functions was developed that allowed us to study the community structure of arbitrary multislice networks, which are combinations of individual networks coupled through links that connect each node in one network slice to itself in other slices.
Journal ArticleDOI

Dynamic reconfiguration of human brain networks during learning.

TL;DR: This work investigates the role of modularity in human learning by identifying dynamic changes of modular organization spanning multiple temporal scales and develops a general statistical framework for the identification of modular architectures in evolving systems.
Posted Content

Communities in Networks

TL;DR: A survey of the concepts, methods, and applications of community detection can be found in this paper, where the authors provide a guide to available methodology and open problems, and discuss why scientists from diverse backgrounds are interested in these problems.
Journal Article

Communities in networks

TL;DR: A survey of the concepts, methods, and applications of community detection can be found in this article, where the authors provide a guide to available methodology and open problems, and discuss why scientists from diverse backgrounds are interested in these problems.
Journal ArticleDOI

Social structure of Facebook networks

TL;DR: The social structure of Facebook “friendship” networks at one hundred American colleges and universities at a single point in time is studied, finding for example that common high school is more important to the social organization of large institutions and that the importance of common major varies significantly between institutions.