2019 - SIAM Fellow For contributions to diverse problems and applications in networks, complex systems, and nonlinear systems.
2018 - Fellow of the American Mathematical Society For contributions to nonlinear and complex systems, and to the emerging field of network science.
Mason A. Porter mainly focuses on Theoretical computer science, Structure, Community structure, Data science and Complex system. His research in Theoretical computer science intersects with topics in Stochastic process, Topological data analysis, Cluster analysis and Random graph. His Structure study combines topics from a wide range of disciplines, such as Distributed computing, Function and Social network.
His study in Data science is interdisciplinary in nature, drawing from both Construct, Network science, Field and Set. His Complex system research incorporates elements of Visualization, Modularity, Network theory and Complex network. His research integrates issues of Representation and Network analysis in his study of Network theory.
His primary scientific interests are in Theoretical computer science, Nonlinear system, Community structure, Classical mechanics and Statistical physics. His research investigates the link between Theoretical computer science and topics such as Cluster analysis that cross with problems in Network science. Mason A. Porter combines subjects such as Structure, Modularity and Distributed computing with his study of Community structure.
His study on Structure is mostly dedicated to connecting different topics, such as Data science. His research investigates the connection between Data science and topics such as Network analysis that intersect with issues in Complex system. The various areas that Mason A. Porter examines in his Classical mechanics study include Dynamical billiards, Quantum and Quantum mechanics.
His scientific interests lie mostly in Theoretical computer science, Network analysis, Nonlinear system, Statistical physics and Centrality. His work deals with themes such as Structure, Construct, Topological data analysis and Cluster analysis, which intersect with Theoretical computer science. His biological study spans a wide range of topics, including Network science, Complex system, Spatial network, Community structure and Data science.
His work in Nonlinear system addresses issues such as Chain, which are connected to fields such as Exponential function. Mason A. Porter interconnects Energy and Computation in the investigation of issues within Statistical physics. His study looks at the intersection of Centrality and topics like PageRank with Discretization and Network theory.
Mason A. Porter focuses on Theoretical computer science, Statistical physics, Social influence, Nonlinear system and Network analysis. Theoretical computer science and Dependency structure are two areas of study in which Mason A. Porter engages in interdisciplinary research. His Social influence research includes themes of Network architecture, Threshold model and Pairwise comparison, Artificial intelligence.
Mason A. Porter works mostly in the field of Nonlinear system, limiting it down to concerns involving Computation and, occasionally, Energy. His study in Probability and statistics is interdisciplinary in nature, drawing from both Layer, Multiplex, Network science and Cluster analysis. His Network science study combines topics in areas such as Domain, Granular material, Continuum, Set and Complex system.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Mikko Kivelä;Alexandre Arenas;Marc Barthelemy;James P. Gleeson.
arXiv: Physics and Society (2013)
Community Structure in Time-Dependent, Multiscale, and Multiplex Networks
Peter J. Mucha;Thomas Richardson;Thomas Richardson;Kevin Macon;Mason A. Porter.
Dynamic reconfiguration of human brain networks during learning.
Danielle S. Bassett;Nicholas F. Wymbs;Mason A. Porter;Peter J. Mucha.
Proceedings of the National Academy of Sciences of the United States of America (2011)
Communities in networks
Mason A. Porter;Jukka Pekka Onnela;Jukka Pekka Onnela;Jukka Pekka Onnela;Peter J. Mucha.
Notices of the American Mathematical Society (2009)
Mathematical Formulation of Multilayer Networks
Manlio De Domenico;Albert Solé-Ribalta;Emanuele Cozzo;Mikko Kivelä.
Physical Review X (2013)
Social structure of Facebook networks
Amanda L. Traud;Amanda L. Traud;Peter J. Mucha;Mason A. Porter.
Physica A-statistical Mechanics and Its Applications (2012)
Critical Truths About Power Laws
Michael P. H. Stumpf;Mason A. Porter.
Mathematical Formulation of Multi-Layer Networks
Manlio De Domenico;Albert Solè-Ribalta;Emanuele Cozzo;Mikko Kivelä.
arXiv: Physics and Society (2013)
The physics of spreading processes in multilayer networks
Manlio De Domenico;Clara Granell;Mason A. Porter;Mason A. Porter;Alex Arenas.
Nature Physics (2016)
Comparing Community Structure to Characteristics in Online Collegiate Social Networks
Amanda L. Traud;Eric D. Kelsic;Peter J. Mucha;Mason A. Porter.
Siam Review (2011)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: