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Browsing MACSI - Mathematics Application Consortium for Science & Industry by Author "ERC"

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Browsing MACSI - Mathematics Application Consortium for Science & Industry by Author "ERC"

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  • MacCarron, Pádraig; Maher, Paul J.; Fennell, Susan C.; Burke, Kevin; Gleeson, James P.; Durrheim, Kevin; Quayle, Michael (Public Library of Science, 2020)
    Shared opinions are an important feature in the formation of social groups. In this paper, we use the Axelrod model of cultural dissemination to represent opinion-based groups. In the Axelrod model, each agent has a set ...
  • Cuffe, Paul; Dassios, Ioannis K.; Keane, Andrew (IEEE Computer Society, 2016)
    Abstract—Loss minimizing generator dispatch profiles for power systems are usually derived using optimization techniques. However, some authors have noted that a system’s KGL matrix can be used to analytically determine ...
  • Fennell, Peter G.; Gleeson, James P.; Cellai, Davide (American Physical Society, 2014)
    Facilitated spin models were introduced some decades ago to mimic systems characterized by a glass transition. Recent developments have shown that a class of facilitated spin models is also able to reproduce characteristic ...
  • da Cunha, Bruno Requião; MacCarron, Pádraig; Passold, Jean Fernando; dos Santos, Luiz Walmocyr; Oliveira, Kleber A.; Gleeson, James P. (2020)
    The networked nature of criminals using the dark web is poorly understood and infrequently studied, mostly due to a lack of data. Rarer still are studies on the topological effectiveness of police interventions. Between ...
  • Gleeson, James P. (American Physical Society, 2013)
    A wide class of binary-state dynamics on networks-including, for example, the voter model, the Bass diffusion model, and threshold models-can be described in terms of transition rates (spin-flip probabilities) that depend ...
  • Hackett, Adam W.; Cellai, Davide; Gomez, S.; Arenas, A.; Gleeson, James P. (American Physical Society, 2016)
    We present an analytical approach for bond percolation on multiplex networks and use it to determine the expected size of the giant connected component and the value of the critical bond occupation probability in these ...
  • Hurd, Thomas R; Cellai, Davide; Melnik, Sergey; Shao, Quentin, H (2016)
    The scope of financial systemic risk research encompasses a wide range of interbank channels and effects, including asset correlation shocks, default contagion, illiquidity contagion, and asset fire sales. This paper ...
  • Asllani, Malbor; daCunha, Bruno Requião; Estrada, Ernesto; Gleeson, James P. (IOP Publishing, 2020)
    Networks are universally considered as complex structures of interactions of large multi-component systems. To determine the role that each node has inside a complex network, several centrality measures have been developed. ...
  • Melnik, Sergey; Porter, Mason A; Mucha, Peter J; Gleeson, James P. (American Institute of Physics, 2014)
    We develop a new ensemble of modular random graphs in which degree-degree correlations can be different in each module, and the inter-module connections are defined by the joint degree-degree distribution of nodes for each ...
  • Fennell, Susan C.; Burke, Kevin; Quayle, Michael; Gleeson, James P. (American Chemical Society, 2021)
    When the interactions of agents on a network are assumed to follow the Deffuant opinion dynamics model, the outcomes are known to depend on the structure of the underlying network. This behavior cannot be captured ...
  • Fennell, Peter G.; Melnik, Sergey; Gleeson, James P. (American Physical Society, 2016)
    Continuous-time Markov process models of contagions are widely studied, not least because of their utility in predicting the evolution of real-world contagions and in formulating control measures. It is often the case, ...
  • Maher, Paul J.; MacCarron, Pádraig; Quayle, Michael (Wiley, 2020)
    Partisan patterns of compliance with public health measures are a feature of early COVID-19responses. In many cases, these differences in behaviour relate to pre-existing group identities. However, in times of rapid ...
  • Cellai, Davide; Dorogovtsev, Sergey N.; Bianconi, Ginestra (Ameriican Physical Society, 2016)
    Multiplex networks describe a large variety of complex systems, including infrastructures, transportation networks, and biological systems. Most of these networks feature a significant link overlap. It is therefore of ...
  • Cellai, Davide; Bianconi, Ginestra (American Physical Society, 2016)
    In multiplex networks with a large number of layers, the nodes can have different activities, indicating the total number of layers in which the nodes are present. Here we model multiplex networks with heterogeneous activity ...
  • Gessey-Jones, Thomas; Connaughton, Colm; Dunbard, Robin; Kenna, Ralph; MacCarron, Pádraig; O Conchobhaire, Cathal; Yose, Joseph (National Academy of Sciences, 2020)
    Network science and data analytics are used to quantify static and dynamic structures in George R. R. Martin’s epic novels, A Song of Ice and Fire, works noted for their scale and complexity. By tracking the network of ...
  • Dassios, Ioannis K.; Cuffe, Paul; Keane, Andrew (2015)
    Electrical power system calculations rely heavily on the Y_{bus} matrix, which is the Laplacian matrix of the network under study, weighted by the complex-valued admittance of each branch. It is often useful to partition ...
  • Faqeeh, Ali (University of Limerick, 2016)
    Many of the systems we observe in nature, in societies, or in infrastructures are in the form of a network of interacting units. This underlying network structure shapes the behavior of such systems and is an indispensable ...
  • Baxter, Gareth J.; Dorogovtsev, Sergey N.; Mendes, José F.F.; Cellai, Davide (Americann Physical Society, 2014)
    Bootstrap percolation is a simple but nontrivial model. It has applications in many areas of science and has been explored on random networks for several decades. In single-layer (simplex) networks, it has been recently ...

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