A symmetric approach to understand the dynamics of scientific collaborations and knowledge production

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Abstract (may include machine translation)

How are social and epistemic structures of a research community driving future research dynamics ? We analyzed a very large data set of scientific publications (APS dataset) covering more than 20 years to investigate the social dynamics of collaboration network and the epistemic network of PACS codes co-occurrences network. In particular we show that the epistemic network built through concepts co-occurrences in articles has a non trivial structure characterized by an heterogeneous degree distribution and a high value of modularity, produced by local mechanisms that depend on similarity factors. We empirically show that those local epistemic dynamics are both linked to past social and epistemic structures. Moreover we show that the evolution of the social network depends also on epistemic factors, indicating that the two networks mutually influence their evolution and are thus co-evolving over time.
Original languageEnglish
Title of host publication4ième conférence sur les modèles et l’analyse des réseaux : Approches mathématiques et informatiques
StatePublished - 2013

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