94 citations · 229 across the 7 of their papers we have counts for
7 papers
Graphery: Interactive Tutorials for Biological Network Algorithms
Heyuan Zeng, Jinbiao Zhang, Gabriel A. Preising +3
Networks provide a meaningful way to represent and analyze complex biological information, but the methodological details of network-based tools are often described for a technical…
Resolution limit revisited: community detection using generalized modularity density
Jiahao Guo, Pramesh Singh, Kevin E. Bassler
Various attempts have been made in recent years to solve the Resolution Limit (RL) problem in community detection by considering variants of the modularity metric in the detection…
Reduced network extremal ensemble learning (RenEEL) scheme for community detection in complex networks
Jiahao Guo, Pramesh Singh, Kevin E. Bassler
We introduce an ensemble learning scheme for community detection in complex networks. The scheme uses a Machine Learning algorithmic paradigm we call Extremal Ensemble Learning. It…
Network community detection using modularity density measures
Tianlong Chen, Pramesh Singh, Kevin E. Bassler
Modularity, since its introduction, has remained one of the most widely used metrics to assess the quality of community structure in a complex network. However the resolution limit…
Competing Effects of Social Balance and Influence
P. Singh, S. Sreenivasan, B. K. Szymanski +1
We study a three-state (leftist, rightist, centrist) model that couples the dynamics of social balance with an external deradicalizing field. The mean-field analysis shows that the…
Threshold-limited spreading in social networks with multiple initiators
P. Singh, S. Sreenivasan, B. K. Szymanski +1
A classical model for social-influence-driven opinion change is the threshold model. Here we study cascades of opinion change driven by threshold model dynamics in the case where m…
Accelerating consensus on co-evolving networks: the effect of committed individuals
P. Singh, S. Sreenivasan, B. K. Szymanski +1
Social networks are not static but rather constantly evolve in time. One of the elements thought to drive the evolution of social network structure is homophily - the need for indi…