activity
20112026
most citedSMOTE: Synthetic Minority Over-sampling Technique

33.1k citations · 35.3k across the 95 of their papers we have counts for

collaborators
Showing cs.SIShow all

19 papers · 1 filter

cs.SI2020

Pandemic Pulse: Unraveling and Modeling Social Signals during the COVID-19 Pandemic

Steven J. Krieg, Jennifer J. Schnur, Jermaine D. Marshall +2

We present and begin to explore a collection of social data that represents part of the COVID-19 pandemic's effects on the United States. This data is collected from a range of sou…

cs.SI2018★ 45 cited

Social Network Structure is Predictive of Health and Wellness

Suwen Lin, Louis Faust, Pablo Robles-Granda +1

Social networks influence health-related behaviors, such as obesity and smoking. While researchers have studied social networks as a driver for diffusion of influences and behavior…

cs.SI2018★ 3 cited

CARL: Content-Aware Representation Learning for Heterogeneous Networks

Chuxu Zhang, Ananthram Swami, Nitesh V. Chawla

Heterogeneous networks not only present a challenge of heterogeneity in the types of nodes and relations, but also the attributes and content associated with the nodes. While recen…

cs.SI2017★ 46 cited

Efficient modeling of higher-order dependencies in networks: from algorithm to application for anomaly detection

Mandana Saebi, Jian Xu, Lance M. Kaplan +2

Complex systems, represented as dynamic networks, comprise of components that influence each other via direct and/or indirect interactions. Recent research has shown the importance…

cs.SI2017★ 8 cited

Influence of Personal Preferences on Link Dynamics in Social Networks

Ashwin Bahulkar, Boleslaw K. Szymanski, Nitesh Chawla +2

We study a unique network dataset including periodic surveys and electronic logs of dyadic contacts via smartphones. The participants were a sample of freshmen entering university…

cs.SI2017

Mining Features Associated with Effective Tweets

Jian Xu, Nitesh Chawla

What tweet features are associated with higher effectiveness in tweets? Through the mining of 122 million engagements of 2.5 million original tweets, we present a systematic review…