Online social networks have become globally ubiquitous, and therefore are an arena where important social phenomena can be observed: e.g. diffusion of (dis)information, social and political polarization, as well as distribution of hate speech and radical content. To understand their spread and effects, it is important to analyze and model the notion of social influence in online networks. For empirical modeling, it is crucial to study the relational nature of interactions between users of the networks, together with analyzing the content of communications between them. This research focuses on investigating social influence in online social networks as the fundamental principle for information diffusion that needs to be modeled, parameterized, and measured. According to Google Scholar, in the first 5 months of 2022 alone, scholars from multiple disciplines roughly produced 30,000 papers dealing with the concept of influence in online social networks. This indicates that this research is indeed a multidisciplinary challenge.

Social Influence Analysis (SIA) in Online Social Networks / Leszkiewicz, Agata; Bucur, Doina; Grimme, Christian; Michalski, Radoslaw; Clever, Lena; Pohl, Janina; Rook, Jeroen; Bossek, Jakob; Preuss, Mike; Squillero, Giovanni; Quer, Stefano; Calabrese, Andrea; Iacca, Giovanni; Kizgin, Hatice; Trautmann, Heike. - ELETTRONICO. - (2022), pp. 1-2. ((Intervento presentato al convegno MISDOOM 2022 tenutosi a Boise, Idaho (USA) nel 11-12 October 2022.

Social Influence Analysis (SIA) in Online Social Networks

Giovanni Squillero;Stefano Quer;Andrea Calabrese;
2022

Abstract

Online social networks have become globally ubiquitous, and therefore are an arena where important social phenomena can be observed: e.g. diffusion of (dis)information, social and political polarization, as well as distribution of hate speech and radical content. To understand their spread and effects, it is important to analyze and model the notion of social influence in online networks. For empirical modeling, it is crucial to study the relational nature of interactions between users of the networks, together with analyzing the content of communications between them. This research focuses on investigating social influence in online social networks as the fundamental principle for information diffusion that needs to be modeled, parameterized, and measured. According to Google Scholar, in the first 5 months of 2022 alone, scholars from multiple disciplines roughly produced 30,000 papers dealing with the concept of influence in online social networks. This indicates that this research is indeed a multidisciplinary challenge.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2971410