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Displaying 10 of 394 results for "J Van Der Beek" clear search

Emrah Karakaya Member since: Wed, May 30, 2012 at 01:20 AM Full Member

Cristina Peralta Quesada Member since: Fri, Nov 29, 2024 at 09:01 AM

Paula Marcela Pérez-Briceño Member since: Tue, Mar 11, 2025 at 08:19 PM

Iris Lorscheid Member since: Mon, Apr 18, 2016 at 08:31 AM

Dr.

Emiliano Emiliano Member since: Fri, Feb 24, 2017 at 04:41 AM Full Member

María Pereda Member since: Thu, Jun 12, 2014 at 08:58 AM Full Member

Ph.D

Xiaotian Wang Member since: Fri, Mar 28, 2014 at 02:23 AM

PHD of Engineering in Modeling and Simulation, Proficiency in Agent-based Modeling

Social network analysis has an especially long tradition in the social science. In recent years, a dramatically increased visibility of SNA, however, is owed to statistical physicists. Among many, Barabasi-Albert model (BA model) has attracted particular attention because of its mathematical properties (i.e., obeying power-law distribution) and its appearance in a diverse range of social phenomena. BA model assumes that nodes with more links (i.e., “popular nodes”) are more likely to be connected when new nodes entered a system. However, significant deviations from BA model have been reported in many social networks. Although numerous variants of BA model are developed, they still share the key assumption that nodes with more links were more likely to be connected. I think this line of research is problematic since it assumes all nodes possess the same preference and overlooks the potential impacts of agent heterogeneity on network formation. When joining a real social network, people are not only driven by instrumental calculation of connecting with the popular, but also motivated by intrinsic affection of joining the like. The impact of this mixed preferential attachment is particularly consequential on formation of social networks. I propose an integrative agent-based model of heterogeneous attachment encompassing both instrumental calculation and intrinsic similarity. Particularly, it emphasizes the way in which agent heterogeneity affects social network formation. This integrative approach can strongly advance our understanding about the formation of various networks.

Cristina Chueca Del Cerro Member since: Fri, May 15, 2020 at 04:47 PM

I’m a Research Associate in Computational Social Science at Durham University working on a project that intends to produce more realistic artificial social networks (RASN) for simulation by creating a taxonomy of existing generator papers, accessible as an interactive, open-access database, in addition to exploring the interdependencies of social network’s structural properties. I obtained my PhD from University of Glasgow in (2023) where I was working on modelling national identity polarisation on social media platforms using ABMs.

agent-based models, social networks, echo chambers, polarisation
Julia, R, NetLogo, Python

Jiin Jung Member since: Wed, Feb 05, 2025 at 09:33 PM Full Member

Dr. Jiin Jung is a social psychologist and Assistant Professor in the Department of Psychology at Lehigh University. She also serves Secretary of the Computational Social Science of the Americas. Dr. Jung’s research focuses on how minority voices influence society and drive changes in social norms and cultural practices. She directs the Group Dynamics & Social Change Lab, which is dedicate to investigating psychological explanations for social change. Her lab explores topics such as minority influence on social change, minority responses to identity uncertainty and threat, and minority contributions to collective adaptation. Dr. Jung engages in policy initiatives geared toward democracy and gender equity.

Minority Influence on Social Change
Computational Social Psychology

José Manuel Galán Member since: Thu, May 03, 2018 at 08:23 AM Full Member

Displaying 10 of 394 results for "J Van Der Beek" clear search

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