Expressing Trust with Temporal Frequency of User Interaction in Online Communities

Yashkina, Ekaterina; Pinigin, Arseny; Lee, Jooyoung; Mazzara, Manuel; Adekotujo, Akinlolu Solomon; Zubair, Adam; Longo, Luca

doi:10.1007/978-3-030-15032-7_95

Cited by 6 publications

(4 citation statements)

References 28 publications

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“…The initial purpose of DIBRM was to replicate the dynamics of SE's official reputation metric (20,51). As SE's reputation is harder to be lost than gain, in previous studies (51) the official SE reputation is obtained with t a = 2, β = 1, α = 1.4, which means that there is no active forgetting factor. Our application is oriented towards estimating a reputation metric concerning fundamental properties of social trust, i.e.…”

Section: The Choice Of Model Parametersmentioning

confidence: 99%

Sustainability of Stack Exchange Q\&A communities: the role of trust

Vranić¹,

Tomašević²,

Alorić³

et al. 2022

Preprint

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Knowledge-sharing communities are a fundamental element of any knowledge-based society. Understanding how they emerge, function, and disappear is thus of crucial importance. Many social and economic factors influence sustainable knowledge-sharing communities. Here we explore the role of the structure of social interactions and social trust in the emergence of these communities. Using tools from complex network theory, we analyze the early evolution of social structure in four pairs of StackExchange communities, each corresponding to one active and one closed community on the same topic. We adapt the dynamical reputation model to quantify the evolution of social trust in these communities. Our analysis shows that active communities have higher local cohesiveness and develop stable and more strongly connected cores. The average reputation is higher in sustainable communities. In these communities, the trust between core members develops early and remains high over time. Our results imply that efforts to create a stable and trustworthy core may be crucial for building a sustainable knowledge-sharing community.

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Section: The Choice Of Model Parametersmentioning

confidence: 99%

Sustainability of Stack Exchange Q\&A communities: the role of trust

Vranić¹,

Tomašević²,

Alorić³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Its goal was to enable artificial agents to make trust-based decisions in the domain of Distributed Artificial Intelligence. The modelling of computational trust has also several applications in digital systems, for instance: reputation management [141,93]; social search and collective intelligence [83,85]; user behaviour modelling [82]; and self-adaptive recommendations [84,44].…”

Section: Computational Trust Modellingmentioning

confidence: 99%