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Displaying 10 of 264 results for "J A Cuesta" clear search

Stefan Scholz Member since: Thu, Feb 20, 2014 at 07:13 PM

MSc Public Health

My main research field is health economic modeling with the main focus on sexually transmitted diseases. We are trying to build a agent-based model using the FLAME-framework (www.flame.ac.uk).

Sara Mcphee-Knowles Member since: Wed, Mar 05, 2014 at 07:17 PM

PhD Candidate, Public Policy, Bachelor of Arts in Public Administration, 2009

My dissertation research at the Johnson-Shoyama Graduate School of Public Policy focuses on food safety and consumer choices, using agent-based models as a novel method for investigating this policy space.

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.

Dominik J Member since: Tue, Apr 01, 2014 at 07:19 AM

BSc, MSc System Dynamics

Andrew Collins Member since: Fri, Apr 18, 2014 at 02:19 PM

MA, PhD, MSC, BA

Andrew J. Collins, Ph.D., is an assistant professor at Old Dominion University in the Department of Engineering Management and Systems Engineering. He has a Ph.D. in Operations Research from the University of Southampton, and his undergraduate degree in Mathematics was from the University of Oxford. He has published over 80 peer-review articles. He has been the Principal Investigator on projects funded to the amount of approximately $7 million. Dr. Collins has developed several research simulations including an award-winning investigation into the foreclosure contagion that incorporated social networks.

Dino Mujadzevic Member since: Wed, Apr 23, 2014 at 12:37 PM

Ph.d., A. v. Humboldt postdoctoral researcher

Discourse and networks executing and supporting Turkish foreign policy under AK Party (since 2002) on example of Bosnia and Herzegovina; Spreading of ideas of contemporary “Turkish economic model” abroad

Kehinde Salau Member since: Mon, Dec 15, 2008 at 11:22 PM

MSc. in Mathematics & Statistics, PhD. in Applied Mathematics

I study small- and large-scale sustainable resource management using a variety of techniques including mathematical modeling, agent-based simulation, and Statistical Inference

J Fernández-López Member since: Wed, Apr 30, 2014 at 02:29 PM

Graduate in Biology Science, PhD Student

Wade Brorsen Member since: Tue, Jun 03, 2014 at 08:26 PM

Ph.D. Texas A&M University, B.S., M.S. Oklahoma State University, M.S. (statistics) University of Wisconsin

Quantitative research in economics.

Aaron Bramson Member since: Tue, Jul 01, 2014 at 12:36 PM Full Member

Ph.D. Philosophy and Political Science, University of Michigan, M.S. Mathematics, Northeastern University, B.S. Economics, University of Florida, B.A. Philosophy, University of Florida

Dr. Aaron Bramson is principal investigator of the AI Strategy Center of GA technologies in Tokyo, Japan, as well as an Affiliate Researcher in the Department of General Economics of Ghent University in Belgium. His research specialty is complexity science, especially methodologies for modeling complex systems. Research topics span across disciplines: measures of polarization and diversity, belief measure interoperability, integrating geospatial and network analyses for measuring walkability and neighborhood identification, and myriad applications in artificial intelligence and data visualization. He received his Ph.D. from the University of Michigan in a joint program with the departments of Political Science and Philosophy as well as an M.S. in Mathematics from Northeastern University.

Complex systems, agent-based modeling, social simulation, computational models, network models, network theory, methodology, philosophy of science, ontology, epistemology, ethics, artificial intelligence, big data analysis, geospatial data analysis,

Displaying 10 of 264 results for "J A Cuesta" clear search

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