activity
20102018
most citedModeling and Analysis of Time-Varying Graphs

31 citations · 41 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2018★ 5 cited

Network Signatures from Image Representation of Adjacency Matrices: Deep/Transfer Learning for Subgraph Classification

Kshiteesh Hegde, Malik Magdon-Ismail, Ram Ramanathan +1

We propose a novel subgraph image representation for classification of network fragments with the targets being their parent networks. The graph image representation is based on 2D…

cs.SI2017★ 2 cited

An efficient alternative to Ollivier-Ricci curvature based on the Jaccard metric

Siddharth Pal, Feng Yu, Terrence J. Moore +3

We study Ollivier-Ricci curvature, a discrete version of Ricci curvature, which has gained popularity over the past several years and has found applications in diverse fields. Howe…

physics.soc-ph2016

Generative Models for Global Collaboration Relationships

Ertugrul N. Ciftcioglu, Ram Ramanathan, Prithwish Basu

When individuals interact with each other and meaningfully contribute toward a common goal, it results in a collaboration, as can be seen in many walks of life such as scientific r…

cs.NI2012

Channel Assignment in Dense MC-MR Wireless Networks: Scaling Laws and Algorithms

Rahul Urgaonkar, Ram Ramanathan, Jason Redi +1

We investigate optimal channel assignment algorithms that maximize per node throughput in dense multichannel multi-radio (MC-MR) wireless networks. Specifically, we consider an MC-…

cs.DS2012★ 3 cited

Dynamic Shortest Path Algorithms for Hypergraphs

Jianhang Gao, Qing Zhao, Wei Ren +3

A hypergraph is a set V of vertices and a set of non-empty subsets of V, called hyperedges. Unlike graphs, hypergraphs can capture higher-order interactions in social and communica…

cs.NI2010★ 31 cited

Modeling and Analysis of Time-Varying Graphs

Prithwish Basu, Amotz Bar-Noy, Ram Ramanathan +1

We live in a world increasingly dominated by networks -- communications, social, information, biological etc. A central attribute of many of these networks is that they are dynamic…