The concept of community resilience receives much attention in studies and applications
due to its ability to provide preparedness against hazards, to protect our life against risks …

Big data has become an important issue for a large number of research areas such as data
mining, machine learning, computational intelligence, information fusion, the semantic Web …

The emergence of various disruptive technologies such as big data, Internet of Things, and
artificial intelligence have instigated our society to generate enormous volumes of data. The …

Identity resolution of a person using various online social networks can enable an interested
party to have a better and holistic understanding of former's behavior and personality. Major …

In social networking services (SNSs), users' unclear understanding of the large and invisible
audience increases the chances of online turbulence, which is a key source of SNS-induced …

The metaverse has created a huge buzz of interest because such a phenomenon is
emerging. The behavioral aspect of the metaverse includes user engagement and deviant …

Nowadays, social networks provide users an interactive platform to create and share
heterogeneous content for a lot of different purposes (eg, to comment events and facts, and …

Given the large amount of data collected from social media, it is very difficult for users to
identify social events and understand their societies. In this paper, we propose a novel …

With various information sources (eg, from IoT sensors to social media), it is difficult to
provide users with trustworthy services in ambient environment. The aim of this paper is i) to …

This paper presents a system that analyzes the sentiment of figurative language contained
in short texts collected from Social Networking Services (SNS). This case study sources …