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Singularity in Natural and Artificial Complex Systems (5 articles)


Graphs and social systems (6 articles)

A social system can be viewed as the set of relationships existing between entities such as individuals, groups, and institutions and forming a structured, coherent whole. Social system analysis is an inherently interdisciplinary academic field, which emerged from social psychology, sociology, statistics, graph theory, and other domains. For the last few decades, and in parallel with the development of the network science field, graph-based approaches dedicated to this purpose have gained a significant following in social sciences and humanities, and there are now tools commonly available for end-users. Thanks to the very generic nature of graphs, it is possible to take a method designed to handle a specific system, and apply it in a completely different context. For instance, a method allowing to detect functionally important proteins in a biological network can be used to identify key-players in a social network. However, due to lexical, methodological and cultural differences, being aware of the methods developed in other fields can be truly challenging for a researcher. The goal of this special issue is to try to bridge this gap, by exposing researchers to different tools and usages of the concept of graph, coming from out of their field. The general idea is to describe graph analysis methods and/or their application to specific social systems. We are interested in works proposing new analysis or extraction methods, likely to be used in various very different applicative contexts. We are also interested in works describing how an existing method, initially developed for a given context, was adapted and/or applied to graphs representing completely different systems. Finally, we are interested as well in works dealing with systems whose unique properties require the design of domain-specific methods.


Digital Contextualization (2 articles)


Asymmetry (3 articles)

Introduction, Objectives, and Outlook in Mai 2018


Analysis of networks and graphs (1 articles)

Networks have become invaluable to model and simulate a number of real-world systems: social, biological, computer-related, or otherwise. Thanks to their generic nature, it is possible to take a method designed to handle a specific system, and apply it in a completely different context. For instance, a method allowing to detect functionally important proteins in a biological network can be used to identify key-players in a social network. However, due to lexical, methodological and cultural differences, being aware of methods developed in other fields can be truly challenging for a researcher. The goal of this special issue is to try to bridge this gap between scientific fields, by exposing researchers to different tools and usages of the concept of graph, coming from out of their field. The general idea is to describe graph analysis methods and/or their application to specific social systems. We are interested in works proposing new analysis or extraction methods, likely to be used in various very different application contexts. We are also interested in works describing how an existing method, initially developed for a given context, was adapted and/or applied to graphs representing completely different systems. Finally, we are interested as well in works dealing with systems whose unique properties require the design of domain-specific methods.