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(IEEE, 2010-08-11)Real-world social networks from a variety of domains can naturally be modelled as dynamic graphs. However, approaches to detecting communities have largely focused on identifying communities in static graphs. Recently, ...
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(2009-03)Uncovering community structure is a core challenge in social network analysis. This is a significant challenge for large networks where there is a single type of relation in the network (e.g. friend or knows). In practice ...
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(Elsevier Science, 2003)About half of all vacancies are filled through networks of personal contact. We consider the Arrow–Loury conjecture that such labor market networks exacerbate inequality. Our central result is that referral networks display ...
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(University College Dublin. School of Computer Science and Informatics, 2011-02)We apply methods from social network analysis and visualization to facilitate a study of the Irish blogosphere from a cultural studies perspective. We focus on solving the practical issues that arise when the goal is to ...
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(2010-12-11)Network modeling can be approached using either discriminative or probabilistic models. In the task of link prediction a probabilistic model will give a probability for the existence of a link; while in some scenarios ...
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(University College Dublin. School of Economics, 1996-09)
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(Wiley, 2011-04)
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(Wiley-Blackwell, 2012-08)The analysis of network data is an area that is rapidly growing, both within and outside of the discipline of statistics. This review provides a concise summary of methods and models used in the statistical analysis of ...
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(Sun SITE Central Europe (CEUR), 2009)The Mobile Web promises a new age of anytime, anywhere information access to billions of users across the globe. However, the Mobile Internet represents a challenging information access environment, particularly from a ...
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(2009-12)Many recent approaches to modeling social networks have focussed on embedding the actors in a latent “social space”. Links are more likely for actors that are close in social space than for actors that are distant in ...