On Facebook, most ties are weak
Pasquale De Meo, Emilio Ferrara, Giacomo Fiumara, Alessandro Provetti

TL;DR
This paper proposes a topology-based method to classify weak and strong ties in Facebook, showing that weak ties connect different communities and enhance information diffusion across the network.
Contribution
It introduces a community-based definition of tie strength that relies solely on network structure, avoiding privacy issues associated with user data.
Findings
Weak ties connect different communities and facilitate information spread.
Strong ties are within communities, promoting cohesion.
Weak ties improve network coverage for information diffusion.
Abstract
Pervasive socio-technical networks bring new conceptual and technological challenges to developers and users alike. A central research theme is evaluation of the intensity of relations linking users and how they facilitate communication and the spread of information. These aspects of human relationships have been studied extensively in the social sciences under the framework of the "strength of weak ties" theory proposed by Mark Granovetter.13 Some research has considered whether that theory can be extended to online social networks like Facebook, suggesting interaction data can be used to predict the strength of ties. The approaches being used require handling user-generated data that is often not publicly available due to privacy concerns. Here, we propose an alternative definition of weak and strong ties that requires knowledge of only the topology of the social network (such as who…
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Taxonomy
TopicsSocial Media and Politics · Opinion Dynamics and Social Influence · Complex Network Analysis Techniques
