68 citations · 294 across the 12 of their papers we have counts for
14 papers
Customer mobility and congestion in supermarkets
Fabian Ying, Alisdair O. G. Wallis, Mariano Beguerisse-Díaz +2
The analysis and characterization of human mobility using population-level mobility models is important for numerous applications, ranging from the estimation of commuter flows in…
Unravelling the forces underlying urban industrial agglomeration
Neave O'Clery, Samuel Heroy, Francois Hulot +1
As early as the 1920's Marshall suggested that firms co-locate in cities to reduce the costs of moving goods, people, and ideas. These 'forces of agglomeration' have given rise, fo…
Tie-decay networks in continuous time and eigenvector-based centralities
Walid Ahmad, Mason A. Porter, Mariano Beguerisse-Díaz
Network theory is a useful framework for studying interconnected systems of interacting entities. Many networked systems evolve continuously in time, but most existing methods for…
Integrating sentiment and social structure to determine preference alignments: The Irish Marriage Referendum
David J. P. O'Sullivan, Guillermo Garduño-Hernández, James P. Gleeson +1
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 s…
Tensor clustering with algebraic constraints gives interpretable groups of crosstalk mechanisms in breast cancer
Anna Seigal, Mariano Beguerisse-Díaz, Birgit Schoeberl +2
We introduce a tensor-based clustering method to extract sparse, low-dimensional structure from high-dimensional, multi-indexed datasets. This framework is designed to enable detec…
Flux-dependent graphs for metabolic networks
Mariano Beguerisse-Díaz, Gabriel Bosque, Diego Oyarzún +2
Cells adapt their metabolic fluxes in response to changes in the environment. We present a framework for the systematic construction of flux-based graphs derived from organism-wide…
Flow-based network analysis of the Caenorhabditis elegans connectome
Karol A. Bacik, Michael T. Schaub, Mariano Beguerisse-Díaz +2
We exploit flow propagation on the directed neuronal network of the nematode Caenorhabditis elegans to reveal dynamically relevant features of its connectome. We find flow-based gr…
The 'who' and 'what' of #diabetes on Twitter
Mariano Beguerisse-Díaz, Amy K. McLennan, Guillermo Garduño-Hernández +2
Social media are being increasingly used for health promotion, yet the landscape of users, messages and interactions in such fora is poorly understood. Studies of social media and…
Interest communities and flow roles in directed networks: the Twitter network of the UK riots
Mariano Beguerisse-Díaz, Guillermo Garduño-Hernández, Borislav Vangelov +2
Directionality is a crucial ingredient in many complex networks in which information, energy or influence are transmitted. In such directed networks, analysing flows (and not only…
Finding role communities in directed networks using Role-Based Similarity, Markov Stability and the Relaxed Minimum Spanning Tree
Mariano Beguerisse-Díaz, Borislav Vangelov, Mauricio Barahona
We present a framework to cluster nodes in directed networks according to their roles by combining Role-Based Similarity (RBS) and Markov Stability, two techniques based on flows.…
Teach Network Science to Teenagers
Heather A. Harrington, Mariano Beguerisse Díaz, M. Puck Rombach +2
We discuss our outreach efforts to introduce school students to network science and explain why networks researchers should be involved in such outreach activities. We provide over…
Linear models of activation cascades: analytical solutions and coarse-graining of delayed signal transduction
Mariano Beguerisse-Diaz, Radhika Desikan, Mauricio Barahona
Cellular signal transduction usually involves activation cascades, the sequential activation of a series of proteins following the reception of an input signal. Here we study the c…
Squeeze-and-Breathe Evolutionary Monte Carlo Optimisation with Local Search Acceleration and its application to parameter fitting
Mariano Beguerisse-Diaz, Baojun Wang, Radhika Desikan +1
Motivation: Estimating parameters from data is a key stage of the modelling process, particularly in biological systems where many parameters need to be estimated from sparse and n…
Competition for Popularity in Bipartite Networks
Mariano Beguerisse-Diaz, Mason A. Porter, Jukka-Pekka Onnela
We present a dynamical model for rewiring and attachment in bipartite networks in which edges are added between nodes that belong to catalogs that can either be fixed in size or gr…