activity
20122023
most citedFighting an Infodemic: COVID-19 Fake News Dataset

273 citations · 683 across the 114 of their papers we have counts for

collaborators
Showing 2016Show all

10 papers · 1 filter

cs.CL2016★ 9 cited

We used Neural Networks to Detect Clickbaits: You won't believe what happened Next!

Ankesh Anand, Tanmoy Chakraborty, Noseong Park

Online content publishers often use catchy headlines for their articles in order to attract users to their websites. These headlines, popularly known as clickbaits, exploit a user'…

cs.DL2016

-index: A PageRank based multi-faceted metric for authors' performance measurement

Dinesh Pradhan, Partha Sarathi Paul, Umesh Maheswari +2

Ranking scientific authors is an important but challenging task, mostly due to the dynamic nature of the evolving scientific publications. The basic indicators of an author's produ…

cs.SI2016

Ensemble-Based Algorithms to Detect Disjoint and Overlapping Communities in Networks

Tanmoy Chakraborty, Noseong Park, V. S. Subrahmanian

Given a set of community detection algorithms and a graph as inputs, we propose two ensemble methods and that (respectively) ide…

cs.CL2016

All Fingers are not Equal: Intensity of References in Scientific Articles

Tanmoy Chakraborty, Ramasuri Narayanam

Research accomplishment is usually measured by considering all citations with equal importance, thus ignoring the wide variety of purposes an article is being cited for. Here, we p…

cs.SI2016★ 7 cited

Is this conference a top-tier? ConfAssist: An assistive conflict resolution framework for conference categorization

Mayank Singh, Tanmoy Chakraborty, Animesh Mukherjee +1

Classifying publication venues into top-tier or non top-tier is quite subjective and can be debatable at times. In this paper, we propose ConfAssist, a novel assisting framework fo…

cs.SI2016★ 1 cited

Permanence and Community Structure in Complex Networks

Tanmoy Chakraborty, Sriram Srinivasan, Niloy Ganguly +2

The goal of community detection algorithms is to identify densely-connected units within large networks. An implicit assumption is that all the constituent nodes belong equally to…