Download Complex Networks V: Proceedings of the 5th Workshop on by Pierluigi Contucci, Ronaldo Menezes, Andrea Omicini, Julia PDF

By Pierluigi Contucci, Ronaldo Menezes, Andrea Omicini, Julia Poncela-Casasnovas

A community is a mathematical item such as a collection of issues which are attached to one another in a few type through strains. It seems this straightforward description corresponds to a bewildering array of structures within the genuine global, starting from technological ones comparable to the net and world-wide-web, organic networks corresponding to that of connections of the frightened platforms, nutrients webs or protein interactions, infrastructural structures similar to networks of roads, airports or the power-grid, to styles of social relationships reminiscent of friendship, intercourse companions, community of Hollywood actors, co-authorship networks and plenty of more.

Recent years have witnessed an excessive amount of curiosity in the clinical group within the houses of those networks. The emergence of the web particularly, coupled with the common availability of cheap computing assets has facilitated stories starting from huge scale empirical research of networks within the genuine global, to the improvement of theoretical types and instruments to discover a number of the homes of those platforms. The examine of networks is extensively interdisciplinary and important advancements have happened in lots of fields, together with arithmetic, physics, desktop and knowledge sciences, biology and the social sciences.

This e-book brings jointly a set of state of the art study within the box from a various array of researchers starting from physicists to social scientists and provides them in a coherent type, highlighting the robust interconnections among the various parts. subject matters integrated are social networks and social media, opinion and innovation diffusion, organic and health-related networks, language networks, in addition to community idea, neighborhood detection, or development versions for complicated Networks.

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Extra info for Complex Networks V: Proceedings of the 5th Workshop on Complex Networks CompleNet 2014

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Contucci et al. 1007/978-3-319-05401-8_3, c Springer International Publishing Switzerland 2014 25 26 L. Meng, T. Milenkovi´c, and A. , network density [15], average path length (the small world phenomenon) [23], degree distribution [9], or community structure [10, 14, 24]. Recently, there have been advances in heterogeneous network analysis [3, 4, 29, 30, 33]. However, whereas these studies have demonstrated the potential of using diverse information encoded in multiple communication types, the studies have typically been domain-specific or have not reasoned about the mechanisms underlying the observations [3, 30].

Contucci et al. 1007/978-3-319-05401-8_3, c Springer International Publishing Switzerland 2014 25 26 L. Meng, T. Milenkovi´c, and A. , network density [15], average path length (the small world phenomenon) [23], degree distribution [9], or community structure [10, 14, 24]. Recently, there have been advances in heterogeneous network analysis [3, 4, 29, 30, 33]. However, whereas these studies have demonstrated the potential of using diverse information encoded in multiple communication types, the studies have typically been domain-specific or have not reasoned about the mechanisms underlying the observations [3, 30].

Striegel as unweighted and undirected, but our study can easily be extended to directed and weighted networks. Although the networks are unweighted, we do use w to indicate how strong the connections must be at minimum. Different values of timescale Δ t and link strength threshold w might lead to different network structures. If Δ t is very large (Δ t=18 months being the extreme), we miss dynamic aspects of the data. On the other hand, if Δ t is very small, networks might be largely disconnected.

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