The Impact of COVID-19 on Twitter Ego Networks: Structure, Sentiment, and Topics
Kamer Cekini, Elisabetta Biondi, Chiara Boldrini, Andrea Passarella, Marco Conti

TL;DR
This study analyzes how COVID-19 lockdowns temporarily altered Twitter ego networks, affecting their structure, sentiment, and topics, with changes reverting after restrictions eased, highlighting social adaptation online.
Contribution
It provides a comprehensive analysis of Twitter ego network dynamics during COVID-19, revealing temporary structural, emotional, and topical shifts caused by lockdown measures.
Findings
Ego networks expanded during lockdown
Negative interactions increased during restrictions
Topic diversity grew with social changes
Abstract
Lockdown measures, implemented by governments during the initial phases of the COVID-19 pandemic to reduce physical contact and limit viral spread, imposed significant restrictions on in-person social interactions. Consequently, individuals turned to online social platforms to maintain connections. Ego networks, which model the organization of personal relationships according to human cognitive constraints on managing meaningful interactions, provide a framework for analyzing such dynamics. The disruption of physical contact and the predominant shift of social life online potentially altered the allocation of cognitive resources dedicated to managing these digital relationships. This research aims to investigate the impact of lockdown measures on the characteristics of online ego networks, presumably resulting from this reallocation of cognitive resources. To this end, a large dataset…
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Taxonomy
TopicsComplex Network Analysis Techniques · Personality Traits and Psychology · Mental Health via Writing
