Mason A Porter

Biographic Data

ID3926179
NAMEMason A Porter
GIVEN NAMESMason A
FAMILY NAMEPorter
SIGNATUREPORTER M A
AFFILIATIONSUniversity of Oxford
VERIFIEDNo
TOTAL WORKS7
TOTAL CITATIONS2
WORKS AS AUTHOR7
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2010
LATEST PUBLICATION YEAR2022
H-INDEX1

  • A Bounded-Confidence Model of Opinion Dynamics with Heterogeneous Node-Activity Levels

    Grace J Li, Mary A Porter et al.PREPRINT2022

    Agent-based models of opinion dynamics examine the spread of opinions between entities and allow one to study phenomena such as consensus, polarization, and fragmentation. One examines them on social networks to investigate the effects of network structure on these phenomena. In social networks, some individuals share their ideas and opinions more frequently than others.These disparities can arise from heterogeneous sociabilities, heterogeneous a…

  • An Adaptive Bounded-Confidence Model of Opinion Dynamics on Networks

    Unchitta Kan, Michelle Feng et al.PREPRINT2021

    Individuals who interact with each other in social networks often exchange ideas and influence each other's opinions. A popular approach to studying the dynamics of opinion spread on networks is by examining bounded-confidence (BC) models, in which the nodes of a network have continuous-valued states that encode their opinions and are receptive to other opinions if they lie within some confidence bound of their own opinion. We extend the Deffuant…

  • Neither global nor local

    Open AccessValentin Danchev, Mary A Porter et al.ARTICLESocial Networks2018

  • A local perspective on community structure in multilayer networks

    Open AccessLUCAS G S JEUB, MICHAEL W MAHONEY et al.ARTICLENetwork Science2017Cited by: 2References: 41

    The analysis of multilayer networks is among the most active areas of network science, and there are several methods to detect dense “communities” of nodes in multilayer networks. One way to define a community is as a set of nodes that trap a diffusion-like dynamical process (usually a random walk) for a long time. In this view, communities are sets of nodes that create bottlenecks to the spreading of a dynamical process on a network. We analyze …

  • Dynamical Systems on Dynamical Networks

    Open AccessMary A Porter, Mason A Porter et al.CHAPTERDynamical Systems on Networks2016

  • Software Implementation

    Open AccessMary A Porter, Mason A Porter et al.CHAPTERDynamical Systems on Networks2016

  • Community Structure in Time-Dependent, Multiscale, and Multiplex Networks

    Open AccessPeter J Mucha, Thomas Richardson et al.ARTICLEScience2010

    Network Notation Networks are often characterized by clusters of constituents that interact more closely with each other and have more connections to one another than they do with the rest of the components of the network. However, systematically identifying and studying such community structure in complicated networks is not easy, especially when the network interactions change over time or contain multiple types of connections, as seen in many …