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20192024
most citedA Large-Scale Study of the Twitter Follower Network to Characterize the Spread of Prescription Drug Abuse Tweets

22 citations · 39 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.SI2022★ 2 cited

EnDSUM: Entropy and Diversity based Disaster Tweet Summarization

Piyush Kumar Garg, Roshni Chakraborty, Sourav Kumar Dandapat

The huge amount of information shared in Twitter during disaster events are utilized by government agencies and humanitarian organizations to ensure quick crisis response and provi…

cs.SI2022★ 2 cited

Detecting Stance in Tweets : A Signed Network based Approach

Roshni Chakraborty, Maitry Bhavsar, Sourav Kumar Dandapat +1

Identifying user stance related to a political event has several applications, like determination of individual stance, shaping of public opinion, identifying popularity of governm…

cs.SI2022

OntoDSumm : Ontology based Tweet Summarization for Disaster Events

Piyush Kumar Garg, Roshni Chakraborty, Sourav Kumar Dandapat

The huge popularity of social media platforms like Twitter attracts a large fraction of users to share real-time information and short situational messages during disasters. A summ…

cs.SI2021★ 22 cited

A Large-Scale Study of the Twitter Follower Network to Characterize the Spread of Prescription Drug Abuse Tweets

Ryan Sequeira, Avijit Gayen, Niloy Ganguly +2

In this article, we perform a large-scale study of the Twitter follower network, involving around 0.42 million users who justify DA, to characterize the spreading of DA tweets acro…

cs.SI2019★ 1 cited

Predicting Tomorrow's Headline using Today's Twitter Deliberations

Roshni Chakraborty, Abhijeet Kharat, Apalak Khatua +2

Predicting the popularity of news article is a challenging task. Existing literature mostly focused on article contents and polarity to predict popularity. However, existing resear…