Výsledky vyhledávání - "Chris J Kuhlman"

Akademický článek

Data analysis and modeling pipelines for controlled networked social science experiments.

Autor: Vanessa Cedeno-Mieles, Zhihao Hu, Yihui Ren, Xinwei Deng, Noshir Contractor, Saliya Ekanayake, Joshua M Epstein, Brian J Goode, Gizem Korkmaz, Chris J Kuhlman, Dustin Machi, Michael Macy, Madhav V Marathe, Naren Ramakrishnan, Parang Saraf, Nathan Self

Publikováno v: PLoS ONE, Vol 15, Iss 11, p e0242453 (2020)

There is large interest in networked social science experiments for understanding human behavior at-scale. Significant effort is required to perform data analytics on experimental outputs and for computational modeling of custom experiments. Moreover

Externí odkaz: https://doaj.org/article/5a47e4a1b6224f69bdfb52c4112780b9

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Akademický článek

GDSCalc: A Web-Based Application for Evaluating Discrete Graph Dynamical Systems.

Autor: Sherif H Elmeligy Abdelhamid, Chris J Kuhlman, Madhav V Marathe, Henning S Mortveit, S S Ravi

Publikováno v: PLoS ONE, Vol 10, Iss 8, p e0133660 (2015)

Discrete dynamical systems are used to model various realistic systems in network science, from social unrest in human populations to regulation in biological networks. A common approach is to model the agents of a system as vertices of a graph, and

Externí odkaz: https://doaj.org/article/a307dbf645754629922c4e7f13289397

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Akademický článek

Forecasting Social Unrest Using Activity Cascades.

Autor: Jose Cadena, Gizem Korkmaz, Chris J Kuhlman, Achla Marathe, Naren Ramakrishnan, Anil Vullikanti

Publikováno v: PLoS ONE, Vol 10, Iss 6, p e0128879 (2015)

Social unrest is endemic in many societies, and recent news has drawn attention to happenings in Latin America, the Middle East, and Eastern Europe. Civilian populations mobilize, sometimes spontaneously and sometimes in an organized manner, to raise

Externí odkaz: https://doaj.org/article/72d7aba062194bcaaa7fad2422a035d8

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Techniques for blocking the propagation of two simultaneous contagions over networks using a graph dynamical systems framework

Autor: Henry L. Carscadden, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz

Publikováno v: Network Science. 10:234-260

We consider the simultaneous propagation of two contagions over a social network. We assume a threshold model for the propagation of the two contagions and use the formal framework of discrete dynamical systems. In particular, we study an optimizatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6466476d831e8ee54db865844dbec02f
https://doi.org/10.1017/nws.2022.18

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Bounds and Complexity Results for Learning Coalition-Based Interaction Functions in Networked Social Systems

Autor: Richard Edwin Stearns, Abhijin Adiga, Anil Vullikanti, S. S. Ravi, Chris J. Kuhlman, Madhav V. Marathe, Daniel Rosenkranz

Publikováno v: AAAI

Using a discrete dynamical system model for a networked social system, we consider the problem of learning a class of local interaction functions in such networks. Our focus is on learning local functions which are based on pairwise disjoint coalitio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::90caad33ce9dd09e3bd5dada8bd6be10
https://doi.org/10.1609/aaai.v34i04.5710

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