Community Structure in Time-Dependent, Multiscale, and Multiplex Networks (2009)
Mucha, Peter J., Richardson, Thomas, Macon, Kevin, Porter, Mason A., Onnela, Jukka-Pekka
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....
Mutually-Antagonistic Interactions in Baseball Networks (2009)
Saavedra, Serguei, Powers, Scott, McCotter, Trent, Porter, Mason A., Mucha, Peter J.
We formulate the head-to-head matchups between Major League Baseball pitchers and batters from 1954 to 2008 as a bipartite network of mutually-antagonistic interactions. We consider both the full...
Party Polarization in Congress: A Social Networks Approach (2009)
Waugh, Andrew Scott, Pei, Liuyi, Fowler, James H., Mucha, Peter J., Porter, Mason A.
We use the network science concept of modularity to measure polarization in the U.S. Congress. Modularity provides a conceptually-clear measure of polarization that directly reveals both the number...
Dynamical Clustering of Exchange Rates (2009)
Fenn, Daniel J., Porter, Mason A., Mucha, Peter J., McDonald, Mark, Williams, Stacy, Johnson, Neil F., ...
We use techniques from network science to study correlations in the foreign exchange (FX) market over the period 1991--2008. We consider an FX market network in which each node represents an exchange...
Communities in Networks (2009)
Porter, Mason A., Onnela, Jukka-Pekka, Mucha, Peter J.
We survey some of the concepts, methods, and applications of community detection, which has become an increasingly important area of network science. To help ease newcomers into the field, we provide...
Abstract Water Drops on Surfaces (2009)
We present a physically-based method to enforce contact angles at the intersection of fluid free surfaces and solid objects, allowing us to simulate a variety of small-scale fluid phenomena including...
Beyond Bisection: Eigenvector-Based Partitioning of Networks into Multiple Communities (2008)
Richardson, Thomas, Mucha, Peter J., Porter, Mason A.
We formulate a spectral graph-partitioning algorithm that uses the two leading eigenvectors of the modularity matrix to split a network into three communities at once. In so doing, we extend the...
Community Structure in Online Collegiate Social Networks (2008)
Traud, Amanda L., Kelsic, Eric D., Mucha, Peter J., Porter, Mason A.
We apply the tools of network analysis to study the roles of university organizations and affiliations in structuring the social networks of students by examining the graphs of Facebook "friendships"...
The Bowl Championship Series: A mathematical review (2008)
Thomas Callaghan, Peter J. Mucha, Mason A. Porter
Championship Series (BCS) announced a proposal to add a fifth game to the “BCS bowls ” to improve access for midmajor teams ordinarily denied invitations
Animating Corrosion and Erosion (2008)
D. Ebert, S. Mérillou (editors, Chris Wojtan, Mark Carlson, Peter J. Mucha, Greg Turk
In this paper, we present a simple method for animating natural phenomena such as erosion, sedimentation, and acidic corrosion. We discretize the appropriate physical or chemical equations using...
Abstract Water Drops on Surfaces (2008)
We present a physically-based method to enforce contact angles at the intersection of fluid free surfaces and solid objects, allowing us to simulate a variety of small-scale fluid phenomena including...
Daniel Fader, Chris Wojtan, Peter J. Mucha, Greg Turk
� Particle systems � Simulation of particle systems � Approach to controlled simulation � Objective function
Community structure in Congressional cosponsorship networks (2008)
Zhang, Y., Friend, A. J., Traud, Amanda L., Porter, Mason A., Fowler, James H., Mucha, Peter J.
We study the United States Congress by constructing networks between Members of Congress based on the legislation that they cosponsor. Using the concept of modularity, we identify the community...
Particle-Based Simulation of Granular Materials (2008)
K. Anjyo, P. Faloutsos (editors, Nathan Bell, Yizhou Yu, Peter J. Mucha
Granular materials, such as sand and grains, are ubiquitous. Simulating the 3D dynamic motion of such materials represents a challenging problem in graphics because of their unique physical...
Abstract Melting and Flowing (2007)
Mark Carlson, Peter J. Mucha, R. Brooks, Van Horn Iii, Greg Turk
We present a fast and stable system for animating materials that melt, flow, and solidify. Examples of real-world materials that exhibit these phenomena include melting candles, lava flow, the...
Community Structure in Congressional Cosponsorship Networks (2007)
Zhang, Yan, Friend, A. J., Traud, Amanda L., Porter, Mason A., Fowler, James H., Mucha, Peter J.
We study the United States Congress by constructing networks between Members of Congress based on the legislation that they cosponsor. Using the concept of modularity, we identify the community...
Community structure in the U.S. House of Representatives (2006)
Porter, Mason A., Friend, A. J., Mucha, Peter J., Newman, M. E. J.
Studies like these indicate that network theory can be of substantial use in uncovering collaborative structure in political bodies such as the U.S. Congress, without requiring input in the form of...
Community Structure in the United States House of Representatives (2006)
Porter, Mason A., Mucha, Peter J., Newman, M. E. J., Friend, A. J.
We investigate the networks of committee and subcommittee assignments in the United States House of Representatives from the 101st--108th Congresses, with the committees connected by ``interlocks''...
A network analysis of committees in the United States House of Representatives (2005)
Porter, Mason A., Mucha, Peter J., Newman, M. E. J., Warmbrand, Casey M.
Network theory provides a powerful tool for the representation and analysis of complex systems of interacting agents. Here we investigate the United States House of Representatives network of...
The Bowl Championship Series: A Mathematical Review (2004)
Callaghan, Thomas, Mucha, Peter J., Porter, Mason A.
We discuss individual components of the college football Bowl Championship Series, compare with a simple algorithm defined by random walks on a biased graph, attempt to predict whether the proposed...
Rigid fluid: Animating the interplay between rigid bodies and fluid (2004)
Mark Carlson, Peter J. Mucha, Greg Turk
Figure 1: A silver block catapulting some wooden blocks into an oncoming wall of water. We present the Rigid Fluid method, a technique for animating the interplay between rigid bodies and viscous...
Rigid fluid: Animating the interplay between rigid bodies and fluid (2004)
Mark Carlson, Peter J. Mucha, Greg Turk
Figure 1: A silver block catapulting some wooden blocks into an oncoming wall of water. We present the Rigid Fluid method, a technique for animating the interplay between rigid bodies and viscous...
Random Walker Ranking for NCAA Division I-A Football (2003)
Callaghan, Thomas, Mucha, Peter J., Porter, Mason A.
Each December, college football fans and pundits across America debate which two teams should meet in the NCAA Division I-A National Championship game. The Bowl Championship Series (BCS) standings...
A network analysis of committees in the U.S. House of Representatives
Porter, Mason A., Mucha, Peter J., Newman, M. E. J., Warmbrand, Casey M.
Network theory provides a powerful tool for the representation and analysis of complex systems of interacting agents. Here, we investigate the U.S. House of Representatives network of committees and...
A network analysis of committees in the U.S. House of Representatives
Porter, Mason A., Mucha, Peter J., Newman, M. E. J., Warmbrand, Casey M.
Network theory provides a powerful tool for the representation and analysis of complex systems of interacting agents. Here, we investigate the U.S. House of Representatives network of committees and...
Dynamical Clustering of Exchange Rates
Daniel J. Fenn, Mason A. Porter, Peter J. Mucha, Mark McDonald, Stacy Williams, Neil F. Johnson, ...
We use techniques from network science to study correlations in the foreign exchange (FX) market over the period 1991--2008. We consider an FX market network in which each node represents an exchange...