University of Limerick Institutional Repository

Browsing Mathematics & Statistics by Subject "networks"

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Browsing Mathematics & Statistics by Subject "networks"

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  • Gleeson, James P. (American Physical Society, 2009)
    Analytical results are derived for the bond percolation threshold and the size of the giant connected component in a class of random networks with nonzero clustering. The network's degree distribution and clustering spectrum ...
  • Cassidy, Ailbhe (University of Limerick, 2019)
    We live in a world surrounded by networks. They are ubiquitous. Be it social media networks linking us to our friends, transportation networks interconnecting locations around the globe, or the metabolic network breaking ...
  • Hackett, Adam W.; Gleeson, James P. (American Physical Society, 2013)
    We present an analytical approach to determining the expected cascade size in a broad range of dynamical models on the class of highly clustered random graphs introduced by Gleeson [J. P. Gleeson, Phys. Rev. E 80, 036107 ...
  • Faqeeh, Ali; Osat, Saeed; Radicchi, Filippo (American Physical Society, 2018)
    We show that the community structure of a network can be used as a coarse version of its embedding in a hidden space with hyperbolic geometry. The finding emerges from a systematic analysis of several real-world and ...
  • O'Sullivan, David J.P. (University of Limerick, 2017)
    Networks are ubiquitous in the world around us. Any system of interacting objects can be conveniently represented as a network, allowing for mathematical interrogation of its properties. These systems range from news ...
  • Faqeeh, Ali; Osat, Saeed; Radicchi, Filippo; Gleeson, James P. (2019)
    Experimental and computational studies provide compelling evidence that neuronal systems are characterized by power-law distributions of neuronal avalanche sizes. This fact is interpreted as an indication that these systems ...
  • Starnini, Michele; Gleeson, James P.; Boguna, Marián (American Physical Society, 2017)
    A general formalism is introduced to allow the steady state of non-Markovian processes on networks to be reduced to equivalent Markovian processes on the same substrates. The example of an epidemic spreading process is ...
  • O'Sullivan, David J.P.; Garduño-Hernández, Guillermo; Gleeson, James P.; Beguerisse-Díaz, Mariano (The Royal Society, 2017)
    We examine the relationship between social structure and sentiment through the analysis of a large collection of tweets about the Irish Marriage Referendum of 2015. We obtain the sentiment of every tweet with the hashtags ...
  • Melnik, Sergey; Ward, Jonathan A; Gleeson, James P.; Porter, Mason A (American Institute of Physics, 2013)
    The spread of ideas across a social network can be studied using complex contagion models, in which agents are activated by contact with multiple activated neighbors. The investigation of complex contagions can provide ...
  • Fennell, Peter G. (University of Limerick, 2015)
    Networks are everywhere. From social networks to ecological networks, transportation networks to the World Wide Web, the existence of groups of units that are interconnected in some manner is ubiquitous in our modern-day ...

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