糖心TV Complexity Science Events
Complexity Centre and MathSys CDT events carry priority over room D1.07.
To book D1.07 please email Sheetal dot Sharma at warwick dot ac dot uk
Please note that your event booking is for D1.07 only. The adjacent common room is a private area for the MathSys Centre that cannot used as part of your booking.
Complexity Forum
Location: Maths B3.02
Marcel Ausloos
(GRAPES, Université de Liège, EU)
Networks of populations with degrees of freedom An introduction to recent characteristics of various theoretical networks will be given. Empirical networks, found in the socio-economy field, will be presented as a possible source of applications of theoretical considerations, - the framework being modern statistical physics ideas. Such studies seem of interest for describing opinion formation in complex communities, be they humans or machines, through time dependent clustering, self-organisation, and percolation processes. Cases will be drawn from recent publications with R. Lambiotte (Uncovering collective listening habits and music genres in bipartite networks), J. Miskiewicz (G7 country Gross Domestic Product (GDP) time correlations), M. Gligor (Mapping macroeconomic time series into weighted networks), A. Pekalski (Model of wealth and goods dynamics in a closed market), I. Hellsten and A. Scharnhorst (Self-citations, co-authorships and keywords: A new method for detecting scientists聮 field mobility), F. Petroni (Statistical Dynamics of Religions and Adherents) ... Emphasis will be placed on evolving networks for which nodes and links have weights and/or are directed, thus have an interesting complexity of ''degrees of freedom''. Moreover growing and decaying networks do sometimes occur through rare or drastic events and to ''preferential attachment processes''; this hints to some connection with usual mechanics and thermodynamics formalism.
Networks of populations with degrees of freedom An introduction to recent characteristics of various theoretical networks will be given. Empirical networks, found in the socio-economy field, will be presented as a possible source of applications of theoretical considerations, - the framework being modern statistical physics ideas. Such studies seem of interest for describing opinion formation in complex communities, be they humans or machines, through time dependent clustering, self-organisation, and percolation processes. Cases will be drawn from recent publications with R. Lambiotte (Uncovering collective listening habits and music genres in bipartite networks), J. Miskiewicz (G7 country Gross Domestic Product (GDP) time correlations), M. Gligor (Mapping macroeconomic time series into weighted networks), A. Pekalski (Model of wealth and goods dynamics in a closed market), I. Hellsten and A. Scharnhorst (Self-citations, co-authorships and keywords: A new method for detecting scientists聮 field mobility), F. Petroni (Statistical Dynamics of Religions and Adherents) ... Emphasis will be placed on evolving networks for which nodes and links have weights and/or are directed, thus have an interesting complexity of ''degrees of freedom''. Moreover growing and decaying networks do sometimes occur through rare or drastic events and to ''preferential attachment processes''; this hints to some connection with usual mechanics and thermodynamics formalism.