Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Peel, Leto"'
We examine gender differences in collaboration networks and academic career progression in physics. We use the likelihood and time to become a principal investigator (PI) and the length of an author's career to measure career progression. Utilising l
Externí odkaz:
http://arxiv.org/abs/2408.02482
Autor:
Peel, Leto, Schaub, Michael T.
We study the problem of recovering a planted hierarchy of partitions in a network. The detectability of a single planted partition has previously been analysed in detail and a phase transition has been identified below which the partition cannot be d
Externí odkaz:
http://arxiv.org/abs/2009.07525
Publikováno v:
Phys. Rev. E 107, 054305 (2023)
Modular and hierarchical community structures are pervasive in real-world complex systems. A great deal of effort has gone into trying to detect and study these structures. Important theoretical advances in the detection of modular have included iden
Externí odkaz:
http://arxiv.org/abs/2009.07196
Akademický článek
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Publikováno v:
Phys. Rev. E 102, 062310 (2020)
We consider the network constraints on the bounds of the assortativity coefficient, which measures the tendency of nodes with the same attribute values to be interconnected. The assortativity coefficient is the Pearson's correlation coefficient of no
Externí odkaz:
http://arxiv.org/abs/1908.04588
Publikováno v:
Science Advances 6(4) eaav1478, 2020
We develop a Bayesian hierarchical model to identify communities in networks for which we do not observe the edges directly, but instead observe a series of interdependent signals for each of the nodes. Fitting the model provides an end-to-end commun
Externí odkaz:
http://arxiv.org/abs/1808.06079
Publikováno v:
Phys. Rev. E 99, 052311 (2019)
We study the effects of individual perceptions of payoffs in two-player games. In particular we consider the setting in which individuals' perceptions of the game are influenced by their previous experiences and outcomes. Accordingly, we introduce a
Externí odkaz:
http://arxiv.org/abs/1807.08635
Publikováno v:
Proceedings of the National Academy of Sciences USA 115(16) 4057-4062, 2018
Assortative mixing in networks is the tendency for nodes with the same attributes, or metadata, to link to each other. It is a property often found in social networks manifesting as a higher tendency of links occurring between people with the same ag
Externí odkaz:
http://arxiv.org/abs/1708.01236
Autor:
Peel, Leto
We address the problem of semi-supervised learning in relational networks, networks in which nodes are entities and links are the relationships or interactions between them. Typically this problem is confounded with the problem of graph-based semi-su
Externí odkaz:
http://arxiv.org/abs/1612.05001
Publikováno v:
Science Advances 3(5) e1602548, 2017
Across many scientific domains, there is a common need to automatically extract a simplified view or coarse-graining of how a complex system's components interact. This general task is called community detection in networks and is analogous to search
Externí odkaz:
http://arxiv.org/abs/1608.05878