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      Estimating the extent and structure of trade in horticultural orchids via social media : Social-Media Orchid-Trade Networks

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      Conservation Biology
      Wiley-Blackwell

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          Community detection in graphs

          The modern science of networks has brought significant advances to our understanding of complex systems. One of the most relevant features of graphs representing real systems is community structure, or clustering, i. e. the organization of vertices in clusters, with many edges joining vertices of the same cluster and comparatively few edges joining vertices of different clusters. Such clusters, or communities, can be considered as fairly independent compartments of a graph, playing a similar role like, e. g., the tissues or the organs in the human body. Detecting communities is of great importance in sociology, biology and computer science, disciplines where systems are often represented as graphs. This problem is very hard and not yet satisfactorily solved, despite the huge effort of a large interdisciplinary community of scientists working on it over the past few years. We will attempt a thorough exposition of the topic, from the definition of the main elements of the problem, to the presentation of most methods developed, with a special focus on techniques designed by statistical physicists, from the discussion of crucial issues like the significance of clustering and how methods should be tested and compared against each other, to the description of applications to real networks.
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            The Search-Transfer Problem: The Role of Weak Ties in Sharing Knowledge across Organization Subunits

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              Networks, Crowds, and Markets

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                Author and article information

                Journal
                Conservation Biology
                Conservation Biology
                Wiley-Blackwell
                08888892
                October 2016
                October 17 2016
                : 30
                : 5
                : 1038-1047
                Article
                10.1111/cobi.12721
                df25951a-f0b2-43c5-b919-413c4f7465f7
                © 2016

                http://doi.wiley.com/10.1002/tdm_license_1.1


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