2011/02/01 by Walter Quattrociocchi, Quattrociocchi, Walter, Frederic Amblard +2
Computer Science · Mathematics · Physics and Astronomy · Social Sciences · #Artificial Intelligence (cs.AI) #Complex Network Analysis Techniques #Dynamical Systems (math.DS) #Evolutionary Game Theory and Cooperation #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Opinion Dynamics and Social Influence #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI) #cs.AI #cs.SI #math.DS #physics.soc-ph
paper · pdf · doi:10.48550/arxiv.1102.0257
arxiv created 2011/02/01 · openalex publication_date 2011/02/01 · arxiv updated 2011/02/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
One of the most interesting scientific challenges nowadays deals with the analysis and the understanding of complex networks' dynamics and how their processes lead to emergence according to the interactions among their components. In this paper we approach the definition of new methodologies for the visualization and the exploration of the dynamics at play in real dynamic social networks. We present a recently introduced formalism called TVG (for time-varying graphs), which was initially developed to model and analyze highly-dynamic and infrastructure-less communication networks such as mobile ad-hoc networks, wireless sensor networks, or vehicular networks. We discuss its applicability to complex networks in general, and social networks in particular, by showing how it enables the specification and analysis of complex dynamic phenomena in terms of temporal interactions, and allows to easily switch the perspective between local and global dynamics. As an example, we chose the case of scientific communities by analyzing portion of the ArXiv repository (ten years of publications in physics) focusing on the social determinants (e.g. goals and potential interactions among individuals) behind the emergence and the resilience of scientific communities. We consider that scientific communities are at the same time communities of practice (through co-authorship) and that they exist also as representations in the scientists' mind, since references to other scientists' works is not merely an objective link to a relevant work, but it reveals social objects that one manipulates, select and refers to. In the paper we show the emergence/selection of a community as a goal-driven preferential attachment toward a set of authors among which there are some key scientists (Nobel prizes).