Community Structure in Time-Dependent, Multiscale, and Multiplex Networks
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.
Dynamic reconfiguration of human brain networks during learning
- D. Bassett, N. Wymbs, M. Porter, P. Mucha, J. Carlson, Scott T. Grafton
- BiologyProceedings of the National Academy of Sciences
- 19 October 2010
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.
Social Structure of Facebook Networks
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.
Comparing Community Structure to Characteristics in Online Collegiate Social Networks
This study examines the importance of common high school affiliation at large state universities and the varying degrees of influence that common major can have on the social structure at different universities, indicating that university networks typically have multiple organizing factors rather than a single dominant one.
Communities in Networks
To help ease newcomers into the field, a guide to available methodology and open problems is provided, and why scientists from diverse backgrounds are interested in community detection is discussed.
Robust Detection of Dynamic Community Structure in Networks
- D. Bassett, M. Porter, N. Wymbs, Scott T. Grafton, J. Carlson, P. Mucha
- Computer ScienceChaos
- 19 June 2012
This work considers the use of statistical null models for facilitating the principled identification of structural modules in semi-decomposable systems and develops a method to construct representative partitions that uses a null model to correct for statistical noise in sets of partitions.
Core-Periphery Structure in Networks
- M. P. Rombach, M. Porter, J. Fowler, P. Mucha
- Computer ScienceSIAM Journal on Applied Mathematics
- 13 February 2012
This paper develops a new method to investigate the meso-scale feature known as core-periphery structure, which entails identifying densely connected core nodes and sparsely connected peripheral nodes in a network.
Differential Recruitment of the Sensorimotor Putamen and Frontoparietal Cortex during Motor Chunking in Humans
Task-Based Core-Periphery Organization of Human Brain Dynamics
- D. Bassett, N. Wymbs, M. P. Rombach, M. Porter, P. Mucha, Scott T. Grafton
- Biology, PsychologyPLoS Comput. Biol.
- 12 October 2012
The results demonstrate that core-periphery organization provides an insightful way to understand how putative functional modules are linked, which enables the prediction of fundamental human capacities, including the production of complex goal-directed behavior.
Melting and flowing
- Mark Carlson, P. Mucha, R. V. Horn, Greg Turk
- Materials ScienceSymposium on Computer Animation
- 21 July 2002
This work presents a fast and stable system for animating materials that melt, flow, and solidify by physical simulation of fluids --- in particular the incompressible viscous Navier-Stokes equations with free surfaces, treating solid and nearly-solid materials as very high viscosity fluids.