This study visualized and analyzed the developing trends and hot topics in natural disaster
research. 19694 natural disaster-related articles (January 1900 to June 2015) are indexed …

The early aughts saw an explosion of interest in social network sites. Many such sites,
including Facebook, LinkedIn, and Twitter expanded to become “platforms,” meaning they …

In this paper, we discuss how emotional messages sent during crisis events shape the
communication patterns on Twitter. To this end, we analyzed a data-set consisting of 23.3 …

We analyze a data-set including more than 4.5 million tweets related to four highly emotional
riot events. In particular, we examine statistically significant structural patterns that emerge …

A well-known and persisting problem in modern education is academic dishonesty. There
are various forms of such dishonesty, like plagiarism, which is often debated in the media …

We consider the problem of sampling and approximately counting an arbitrary given motif $
H $ in a graph $ G $, where access to $ G $ is given via queries: degree, neighbor, and pair …

The 2019 anti-CAA protest in India witnessed massive Twitter participation from people on
both sides. It was unique compared to most online social movements that showcase …

In this paper, we analyze more than 16 million tweets that have been sent from 6.1 million
Twitter accounts and are related to nine natural disasters. As part of our analysis, we identify …

Social bots are software programs that automatically produce messages and interact with
human users on social media platforms. In this paper, we provide an analysis of the emotion …

Many similarity measure algorithms of nodes in weighted graph data have been proposed
by employing the degree of nodes in recent years. Despite these algorithms obtaining great …