activity
20172023
most citedA Fast and Efficient Incremental Approach toward Dynamic Community Detection

17 citations · 24 across the 5 of their papers we have counts for

collaborators

5 papers

math.AT2023

Persistent Homology to Study Cold Hardiness of Grape Cultivars

Sejal Welankar, Paola Pesantez-Cabrera, Bala Krishnamoorthy +3

Persistent homology is a branch of computational algebraic topology that studies shapes and extracts features over multiple scales. In this paper, we present an unsupervised approa…

cs.DC2022

HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures

Xinyu Chen, Marco Minutoli, Jiannan Tian +3

Influence maximization aims to select k most-influential vertices or seeds in a network, where influence is defined by a given diffusion process. Although computing optimal seed se…

cs.CG2021★ 3 cited

Pheno-Mapper: An Interactive Toolbox for the Visual Exploration of Phenomics Data

Youjia Zhou, Methun Kamruzzaman, Patrick Schnable +3

High-throughput technologies to collect field data have made observations possible at scale in several branches of life sciences. The data collected can range from the molecular le…

cs.SI2019★ 17 cited

A Fast and Efficient Incremental Approach toward Dynamic Community Detection

Neda Zarayeneh, Ananth Kalyanaraman

Community detection is a discovery tool used by network scientists to analyze the structure of real-world networks. It seeks to identify natural divisions that may exist in the inp…

cs.CG2017★ 4 cited

Interesting Paths in the Mapper

Ananth Kalyanaraman, Methun Kamruzzaman, Bala Krishnamoorthy

The Mapper produces a compact summary of high dimensional data as a simplicial complex. We study the problem of quantifying the interestingness of subpopulations in a Mapper, which…