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Modeling Individual-Level Infection Dynamics Using Social Network Information

Publications associées (35)

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This paper presents an analysis of the role of social media, specifically Twitter, in the context of non-fungible tokens, better known as NFTs. Such emerging technology framing the creation and exchange of digital object, started years ago with early proje ...

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Opinion Formation over Adaptive Networks

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Switchover phenomenon induced by epidemic seeding on geometric networks

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It is a fundamental question in disease modeling how the initial seeding of an epidemic, spreading over a network, determines its final outcome. One important goal has been to find the seed configuration, which infects the most individuals. Although the id ...

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Social platforms became a major source of rumours. While rumours can have severe real-world implications, their detection is notoriously hard: Content on social platforms is short and lacks semantics; it spreads quickly through a dynamically evolving netwo ...

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Understanding the spatio-temporal dynamics of endemic infections is of critical importance for a deeper understanding of pathogen transmission, and for the design of more efficient public health strategies. However, very few studies in this domain have foc ...

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Determinants of PhD holders' use of social networking sites: An analysis based on LinkedIn

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Social networking sites are an increasingly important tool for career development, especially for highly skilled individuals. Moreover, they may constitute valuable sources of data for scholars and policy makers. However, little research has been conducted ...

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THE FABRIC OF ENCOUNTER: Integration and segregation in the spatiotemporal structure of social networks

João Vitor Meirelles de Miranda

Integrating social and spatial networks will be critical to new approaches to cities as material systems of interaction. In this paper, we propose a way of doing so by focusing on the spatial and temporal conditions of formation of social networks – namely ...

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