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Researchers Draw Romantic Insights From Maps of Facebook Networks - New York Times (blog)

Researchers Draw Romantic Insights From Maps of Facebook Networks - New York Times (blog) | Science | Scoop.it
New York Times (blog)
Researchers Draw Romantic Insights From Maps of Facebook Networks
New York Times (blog)
It's not in the stars after all.
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Complexity Theory and the Social Sciences: The state of the art (by David Byrne, Gillian Callaghan)

Complexity Theory and the Social Sciences: The state of the art

~ Gillian Callaghan (author) More about this product
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For the past two decades, ‘complexity’ has informed a range of work across the social sciences. There are diverse schools of complexity thinking, and authors have used these ideas in a multiplicity of ways, from health inequalities to the organization of large scale firms. Some understand complexity as emergence from the rule-based interactions of simple agents and explore it through agent-based modelling. Others argue against such ‘restricted complexity’ and for the development of case-based narratives deploying a much wider set of approaches and techniques. Major social theorists have been reinterpreted through a complexity lens and the whole methodological programme of the social sciences has been recast in complexity terms.

 

In four parts, this book seeks to establish ‘the state of the art’ of complexity-informed social science as it stands now, examining: (1) the key issues in complexity theory; (2) the implications of complexity theory for social theory; (3) the methodology and methods of complexity theory and (4) complexity within disciplines and fields.

 

It also points ways forward towards a complexity-informed social science for the twenty-first century, investigating the argument for a post-disciplinary, ‘open’ social science. Byrne and Callaghan consider how this might be developed as a programme of teaching and research within social science. This book will be particularly relevant for, and interesting to, students and scholars of social research methods, social theory, business and organization studies, health, education, urban studies and development studies.

 

 


Via Complexity Digest, Ashish Umre
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Modeling complex systems with adaptive networks Non-Equilibrium ...

Modeling complex systems with adaptive networks Non-Equilibrium ... | Science | Scoop.it
Adaptive networks are a novel class of dynamical networks whose topologies and states coevolve. Many real-world complex systems can be modeled as adaptive networks, including social networks, transportation networks, ...
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Simulating Social Complexity: A Handbook (by Bruce Edmonds ...

Simulating Social Complexity: A Handbook (by Bruce Edmonds ... | Science | Scoop.it
Social systems are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible and natural language approaches ...
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Simulating Social Complexity - A Handbook

Simulating Social Complexity - A Handbook | Science | Scoop.it

 Simulating Social Complexity examines all aspects of using agent- or individual-based simulation. This approach represents systems as individual elements having each their own set of differing states and internal processes. The interactions between elements in the simulation represent interactions in the target systems. What makes these elements "social" is that they are usefully interpretable as interacting elements of an observed society. In this, the focus is on human society, but can be extended to include social animals or artificial agents where such work enhances our understanding of human society.

 

Edmonds, B. & Meyer, R. (eds.) (2013) Simulating Social Complexity - a
handbook. Springer.

http://www.springer.com/computer/information+systems+and+applications/book/978-3-540-93812-5


Via Complexity Digest, Ashish Umre
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The Social Labs Revolution

The Social Labs Revolution | Science | Scoop.it
A New Approach to Solving Our Most Complex Challenges (RT @PRINCIPIUM_imp: Solving big complex Problems "The Social Labs Revolution" http://t.co/erQ5hXrvlq via @wordpressdotcom #solving #problem…)...
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Cooperation Could Evolve in Complex Networks when Activated ...

Cooperation Could Evolve in Complex Networks when Activated ... | Science | Scoop.it
In line of the research, this paper provides an new account of how cooperation could evolve in complex networks when actors use information of network characteristics to strategize whether to cooperate or not.
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A coevolving model based on preferential triadic closure for social ...

Computer Science > Social and Information Networks ... Abstract: The dynamical origin of complex networks, i.e., the underlying principles governing network evolution, is a crucial issue in network study.
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