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Displaying 10 of 57 results model clear

Geerten Hengeveld Member since: Thu, Jan 24, 2019 at 12:12 PM Full Member

Wageningen University & Research
Currently researcher modelling at Biometris, Wageningen University & Research

modelling,
ecology, foraging, forestry, forest management, water management
scenario analysis
agent based modelling
individual based modelling
model quality, model evaluation, model governance

florianwaldner Member since: Tue, Jun 07, 2011 at 08:16 AM

Business model innovation on markets for digital cultural goods.

Kotte Hewa Dinithini Member since: Thu, Jan 26, 2017 at 07:56 AM

Mathematical Finance

Currently doing Agent based model in biogy

Davood Qorbani Member since: Mon, Oct 24, 2022 at 01:39 PM

Ph.D. Fellow, MPhil

model-based policy analysis; system dynamics; agent-based modeling

Calvin Pritchard Member since: Mon, May 16, 2016 at 05:44 PM Full Member Reviewer

Bachelor of Environment (Joint Honours Economics and Planning), University of Waterloo, Master of Arts (Economics), Queen's University

I am a developer for CoMSES Net as part of the Global Biosocial Complexity Initiative at Arizona State University. I work on improving model reuse, accessibility and discoverability through the development of the comses.net website and the CoMSES bibliographic database (catalog.comses.net). I also provide data analysis and software development advice on coupling models, version control, dependency management and data analysis to researchers and modelers.

My interests include model componentization, statistics, data analysis and improving model development and resuability practices.

planner.faysal Member since: Fri, Apr 06, 2012 at 08:08 AM

PhD (continuing), M.Sc (Environmental Management), Bachelor in Urban and Regional Planning

Agent based model for coastal settlement transitions

John Glass Member since: Wed, Nov 15, 2017 at 03:52 PM

Ph.D., Sociology, B.A., Sociology

Interested in learning how to accurately model social power, diffusion of ideas, social exchange

Jacob Barhak Member since: Sat, Dec 17, 2016 at 05:42 AM

Ph.D.

Developing Disease Modeling Software - MIcro Simulation Tool (MIST). The Reference Model for Disease Progression is my main effort.

Abbas Mirzaei Member since: Sat, Jun 17, 2017 at 09:54 AM

Ph.D. student

Management of Water Resources Conflicts in Halil-Rud River Basin: Application of Integrated Economic- Hydrological- Behavioral Model

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.

Displaying 10 of 57 results model clear

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