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A Community Perspective on Resilience Analytics: A Visual Analysis of Community Mood
Author(s) -
LópezCuevas Armando,
RamírezMárquez José,
SanchezAnte Gildardo,
Barker Kash
Publication year - 2017
Publication title -
risk analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.972
H-Index - 130
eISSN - 1539-6924
pISSN - 0272-4332
DOI - 10.1111/risa.12788
Subject(s) - mood , perspective (graphical) , community resilience , affect (linguistics) , psychological resilience , psychology , everyday life , sociology , cognitive psychology , social psychology , data science , computer science , political science , artificial intelligence , communication , redundancy (engineering) , law , operating system
Social networks are ubiquitous in everyday life. Although commonly analyzed from a perspective of individual interactions, social networks can provide insights about the collective behavior of a community. It has been shown that changes in the mood of social networks can be correlated to economic trends, public demonstrations, and political reactions, among others. In this work, we study community resilience in terms of the mood variations of the community. We have developed a method to characterize the mood steady‐state of online social networks and to analyze how this steady‐state is affected under certain perturbations or events that affect a community. We applied this method to study community behavior for three real social network situations, with promising results.