Zobrazeno 1 - 10
of 93
pro vyhledávání: '"P. MacCarron"'
Autor:
P. MacCarron
Publikováno v:
Condensed Matter Physics, Vol 27, Iss 3 (2024)
For over a decade, complex networks have been applied to mythological texts in order to quantitatively compare them. This has allowed us to identify similarities between texts in different cultures, as well as to quantify the significance of some her
Externí odkaz:
https://doaj.org/article/3c95ac5b72a944e182170c29882d2a16
Publikováno v:
Condensed Matter Physics, Vol 27, Iss 3 (2024)
Social groups have been studied throughout history to understand how different configurations impact those within them. Along with this came the interest in investigating social groups of both fictional and mythological works. Over the last decade th
Externí odkaz:
https://doaj.org/article/d91292977ac84c8b8db4d3b08f22781a
Autor:
MacCarron, P.
For over a decade, complex networks have been applied to mythological texts in order to quantitatively compare them. This has allowed us to identify similarities between texts in different cultures, as well as to quantify the significance of some her
Externí odkaz:
http://arxiv.org/abs/2409.12071
Social groups have been studied throughout history to understand how different configurations impact those within them. Along with this came the interest in investigating social groups of both fictional and mythological works. Over the last decade th
Externí odkaz:
http://arxiv.org/abs/2409.11482
In this paper we introduce a new, fast, degree-preserving rewiring algorithm for altering the assortativity of complex networks, which we call \textit{Fast total link (FTL) rewiring} algorithm. Commonly used existing algorithms require a large number
Externí odkaz:
http://arxiv.org/abs/2401.12047
The analysis of social networks enables the understanding of social interactions, polarisation of ideas, and the spread of information and therefore plays an important role in society. We use Twitter data - as it is a popular venue for the expression
Externí odkaz:
http://arxiv.org/abs/2311.09196
Autor:
Kenna, Ralph, Thompson, Chris, Carmody, Isolde Ó Brolcháin, Dwyer, Benjamin, Curley, Daniel, McCarthy, Mike, Bowes, Nicola, MacCarron, Pádraig, Platini, Thierry, Yose, Joseph
When local authorities recently selected a neoclassical male "river god head" of colonial origin to represent Ireland's longest river, it was welcomed as "harking back to Irish mythology". The council, local historians and townsfolk were unaware that
Externí odkaz:
http://arxiv.org/abs/2308.02544
'The greatest Poet that has [n]ever existed' -- A Narrative Networks Analysis of the Poems of Ossian
Surprising as it may seem, applications of statistical methods to physics were inspired by the social sciences, which in turn are linked to the humanities. So perhaps it is not as unlikely as it might first appear for a group of statistical physicist
Externí odkaz:
http://arxiv.org/abs/2306.16953
In this work we explore degree assortativity in complex networks, and extend its usual definition beyond that of nearest neighbours. We apply this definition to model networks, and describe a rewiring algorithm that induces assortativity. We compare
Externí odkaz:
http://arxiv.org/abs/2212.11051
Autor:
Mannion, Shane, MacCarron, Pádraig
This work introduces a method for fitting to the degree distributions of complex network datasets, such that the most appropriate distribution from a set of candidate distributions is chosen while maximizing the portion of the distribution to which t
Externí odkaz:
http://arxiv.org/abs/2212.06649