activity
20172024
most citedUnderstanding Information Spreading in Social Media during Hurricane Sandy: User Activity and Network Properties

26 citations · 32 across the 6 of their papers we have counts for

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Showing cs.SIShow all

5 papers · 1 filter

cs.SI2024

A Data-driven Resilience Framework of Directionality Configuration based on Topological Credentials in Road Networks

H M Imran Kays, Khondhaker Al Momin, K. K. "Muralee" Muraleetharan +1

Roadway reconfiguration is a crucial aspect of transportation planning, aiming to enhance traffic flow, reduce congestion, and improve overall road network performance with existin…

cs.SI20223 cited

Identifying Diversity, Equity, Inclusion, and Accessibility (DEIA) Indicators for Transportation Systems using Social Media Data: The Case of New York City during Covid-19 Pandemic

Fariha Nazneen Rista, Khondhaker Al Momin, Arif Mohaimin Sadri

The adoption of transportation policies that prioritized highway expansion over public transportation has disproportionately impacted minorities and low-income people by restrictin…

cs.SI2020

Data-driven Inferences of Agency-level Risk and Response Communication on COVID-19 through Social Media based Interactions

Md Ashraf Ahmed, Arif Mohaimin Sadri, M. Hadi Amini

Risk and response communication of public agencies through social media played a significant role in the emergence and spread of novel Coronavirus (COVID-19) and such interactions…

cs.SI2017

Crisis Communication Patterns in Social Media during Hurricane Sandy

Arif Mohaimin Sadri, Samiul Hasan, Satish V. Ukkusuri +1

Hurricane Sandy was one of the deadliest and costliest of hurricanes over the past few decades. Many states experienced significant power outage, however many people used social me…

cs.SI201726 cited

Understanding Information Spreading in Social Media during Hurricane Sandy: User Activity and Network Properties

Arif Mohaimin Sadri, Samiul Hasan, Satish V. Ukkusuri +1

Many people use social media to seek information during disasters while lacking access to traditional information sources. In this study, we analyze Twitter data to understand info…