Opinions, conflicts and consensus: modeling social dynamics in a collaborative environment

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Opinions, Conflicts and Consensus: Modeling Social Dynamics in a Collaborative Environment
Authors: Janos Török, Gerardo Iñiguez, Taha Yasseri, Maxi San Miguel, Kimmo Kaski and Janos Kertész [edit item]
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Publication type: Journal article
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Opinions, Conflicts and Consensus: Modeling Social Dynamics in a Collaborative Environment is a publication by Janos Török, Gerardo Iñiguez, Taha Yasseri, Maxi San Miguel, Kimmo Kaski and Janos Kertész.


[edit] Abstract

The pace of life accelerates with city size, manifested in a per capita increase of almost all socioeconomic rates such as GDP, wages, violent crime or the transmission of certain contagious diseases. Here, we show that the structure and dynamics of the underlying network of human interactions provides a possible unifying mechanism for the origin of these pervasive regularities. By analyzing billions of anonymized call records from two European countries we find that human social interactions follow a superlinear scale-invariant relationship with city population size. This systematic acceleration of the interaction intensity takes place within specific constraints of social grouping. Together, these results provide a general microscopic basis for a deeper understanding of cities as co-located social networks in space and time, and of the emergent urban socioeconomic processes that characterize complex human societies.

[edit] Research questions

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Facts about "Opinions, conflicts and consensus: modeling social dynamics in a collaborative environment"RDF feed
AbstractThe pace of life accelerates with city sizThe pace of life accelerates with city size, manifested in a per capita increase of almost all socioeconomic rates such as GDP, wages, violent crime or the transmission of certain contagious diseases. Here, we show that the structure and dynamics of the underlying network of human interactions provides a possible unifying mechanism for the origin of these pervasive regularities. By analyzing billions of anonymized call records from two European countries we find that human social interactions follow a superlinear scale-invariant relationship with city population size. This systematic acceleration of the interaction intensity takes place within specific constraints of social grouping. Together, these results provide a general microscopic basis for a deeper understanding of cities as co-located social networks in space and time, and of the emergent urban socioeconomic processes that characterize complex human societies.that characterize complex human societies.
Added by wikilit teamUnspecified +
Google scholar urlhttp://scholar.google.com/scholar?ie=UTF-8&q=%22Opinions%2C%2BConflicts%2Band%2BConsensus%3A%2BModeling%2BSocial%2BDynamics%2Bin%2Ba%2BCollaborative%2BEnvironment%22 +
Has authorJanos Török +, Gerardo Iñiguez +, Taha Yasseri +, Maxi San Miguel + and Kimmo Kaski and Janos Kertész +
Publication typeJournal article +
Revid8,225 +
TitleOpinions, Conflicts and Consensus: Modeling Social Dynamics in a Collaborative Environment
Year2012 +