Networks Group: Recent submissions
Now showing items 21-40 of 71
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Network Null Model based on Maximal Entropy and the Rich-Club
(Oxford University Press, 2012-10-08)We present a method to construct a network null-model based on the maximum entropy principle and where the restrictions that the rich-club and the degree sequence impose are conserved. We show that the probability that two ... -
Structural constraints in complex networks
(2007-06) -
Tracking Personal Identifiers Across the Web.
(Springer, 2016) -
#FoodPorn: Obesity Patterns in Culinary Interactions
We present a large-scale analysis of Instagram pictures taken at 164,753 restaurants by millions of users. Motivated by the obesity epidemic in the United States, our aim is three-fold: (i) to assess the relationship between ... -
Ensembles related to the rich-club coefficient for non-evolving networks
In complex networks the rich nodes are the subset of nodes with high degree. These well connected nodes tend to dominate the organisation of the network's structure. In non-evolving networks, a reference network has been ... -
A First Look at User Activity on Tinder
(2016-08-15) -
Narrative unreliability and metarepresentation in Ian McEwan’s Atonement; or, why Robbie might be guilty and why nobody seems to notice
(Taylor & Francis (Routledge): SSH Titles, 2018-11-08)Unreliability and uncertainty are at the centre of Ian McEwan’s Atonement, and discussions of the novel often emphasise this aspect of the text, arguing that it demands to be reread in light of its surprise ending. Yet ... -
A Progressive Explanation of Inference in ‘Hybrid’ Bayesian Networks for Supporting Clinical Decision Making
Many Bayesian networks (BNs) have been developed as decision support tools. However, far fewer have been used in practice. Sometimes it is assumed that an accurate prediction is enough for useful decision support but this ... -
360 Quantified Self
Wearable devices with a wide range of sensors have contributed to the rise of the Quantified Self movement, where individuals log everything ranging from the number of steps they have taken, to their heart rate, to their ...