68 citations · 265 across the 47 of their papers we have counts for
8 papers · 1 filter
Multiwave COVID-19 Prediction from Social Awareness using Web Search and Mobility Data
J. Xue, T. Yabe, K. Tsubouchi +2
Recurring outbreaks of COVID-19 have posed enduring effects on global society, which calls for a predictor of pandemic waves using various data with early availability. Existing pr…
Algorithms for Influence Maximization in Socio-Physical Networks
Hemant Gehlot, Shreyas Sundaram, Satish V. Ukkusuri
Given a directed graph (representing a social network), the influence maximization problem is to find k nodes which, when influenced (or activated), would maximize the number of re…
Early Warning of COVID-19 Hotspots using Mobility of High Risk Users from Web Search Queries
Takahiro Yabe, Kota Tsubouchi, Satish V Ukkusuri
COVID-19 has disrupted the global economy and well-being of people at an unprecedented scale and magnitude. To contain the disease, an effective early warning system that predicts…
Predicting Evacuation Decisions using Representations of Individuals' Pre-Disaster Web Search Behavior
Takahiro Yabe, Kota Tsubouchi, Toru Shimizu +2
Predicting the evacuation decisions of individuals before the disaster strikes is crucial for planning first response strategies. In addition to the studies on post-disaster analys…
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…
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…