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Human beings are involved in a broad range of social relationships spanning from real life experiences to online media and social networks. This is leading people to act in a multilayered complex network whose relationships among different layers have still to be analyzed and understood in depth. In this paper, we focus on this problem by comparing and overlapping the online sociality (Facebook network)...
The modular structure of human brain network(s) is well established. Despite numerous and increasing studies that examine brain's modular organization based on various measures of neural synchrony, it is not known yet how to qualify the employed descriptors in terms of the resulting functional community structure. A methodology is introduced here that facilitates the selection of best synchronization...
It is described an abstract model for the definition and the dynamic evolution of "communities of actants" originating from a given reference society of roles. Multiple representations are provided, showing how communities evolve with respect to their reference societies. In particular we show how such representations are self-similar and factorisable into "prime" constituents...
Understanding the community structure in graphs arising from complex network is an important and difficult problem, both from theoretical and practical points of views. Although a lot of community detection algorithms have been proposed in the last decade, there is still no satisfactory way to determine if a given network possesses or not a community structure, that is, its nodes can be partitioned...
Online chats are recently shown to result in long term associations among users, represented by a directed weighted network, similar to dialogs in online social networks. We consider the persistent network which emerges from user-to-user communications found in the empirical dataset from IRC Ubuntu channel. The structure of these networks is determined by computing topological centrality measures,...
In this paper, we propose a semantic web based solution to implement the Interoperability Framework (IF) for Persistent Identifiers (PI) developed within the context of APARSEN EU project. The IF provides a comprehensive, semantics-aware solution for interoperability of heterogeneous Persistent Identifier systems. Such a solution aims to provide added-value services built on an Interoperability Knowledge...
Understanding the ever-changing scenario of computer networks and how they operate in the real world implies measuring and analyzing their characteristics. This in turn requires a set of advanced tools and methodologies to be shared among researches, along with the data derived from such activities. In this paper we first present some of the main issues and challenges in the field of Internet Monitoring...
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