Software for Agent-based Network Simulation and Visualization

Patrick Shepherd; Isaac Batts; Judy Goldsmith; Emory Hufbauer; Mia Weaver; Angela Zhang

doi:10.1609/aaai.v35i18.18025

Software for Agent-based Network Simulation and Visualization

Patrick Shepherd
, Isaac Batts
, Judy Goldsmith
, Emory Hufbauer
, Mia Weaver
, Angela Zhang

Producción científica: Conference contribution › revisión exhaustiva

Resumen

We present a network software suite that can model contagions or opinion manipulation in social networks, that combines features from the standard packages and extends them to allow complex, interacting, dynamic topologies, and dynamic heterogeneous agent types, with individual interaction policies. The framework allows for the easy implementation of new agent types, and provides flexible visualization tools to elucidate network behavior over time.

Idioma original	English
Título de la publicación alojada	35th AAAI Conference on Artificial Intelligence, AAAI 2021
Páginas	16103-16105
Número de páginas	3
ISBN (versión digital)	9781713835974
DOI	https://doi.org/10.1609/aaai.v35i18.18025
Estado	Published - 2021
Evento	35th AAAI Conference on Artificial Intelligence, AAAI 2021 - Virtual, Online Duración: feb 2 2021 → feb 9 2021

Serie de la publicación

Nombre	35th AAAI Conference on Artificial Intelligence, AAAI 2021
Volumen	18

Conference

Conference	35th AAAI Conference on Artificial Intelligence, AAAI 2021
Ciudad	Virtual, Online
Período	2/2/21 → 2/9/21

Nota bibliográfica

Publisher Copyright:
Copyright © 2021, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved

ASJC Scopus subject areas

Artificial Intelligence

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10.1609/aaai.v35i18.18025

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@inproceedings{e0cdda1deb81479bbd13b4d6ed33fc31,

title = "Software for Agent-based Network Simulation and Visualization",

abstract = "We present a network software suite that can model contagions or opinion manipulation in social networks, that combines features from the standard packages and extends them to allow complex, interacting, dynamic topologies, and dynamic heterogeneous agent types, with individual interaction policies. The framework allows for the easy implementation of new agent types, and provides flexible visualization tools to elucidate network behavior over time.",

author = "Patrick Shepherd and Isaac Batts and Judy Goldsmith and Emory Hufbauer and Mia Weaver and Angela Zhang",

note = "Publisher Copyright: Copyright {\textcopyright} 2021, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved; 35th AAAI Conference on Artificial Intelligence, AAAI 2021 ; Conference date: 02-02-2021 Through 09-02-2021",

year = "2021",

doi = "10.1609/aaai.v35i18.18025",

language = "English",

series = "35th AAAI Conference on Artificial Intelligence, AAAI 2021",

pages = "16103--16105",

booktitle = "35th AAAI Conference on Artificial Intelligence, AAAI 2021",

}

Shepherd, P, Batts, I, Goldsmith, J, Hufbauer, E, Weaver, M & Zhang, A 2021, Software for Agent-based Network Simulation and Visualization. En 35th AAAI Conference on Artificial Intelligence, AAAI 2021. 35th AAAI Conference on Artificial Intelligence, AAAI 2021, vol. 18, pp. 16103-16105, 35th AAAI Conference on Artificial Intelligence, AAAI 2021, Virtual, Online, 2/2/21. https://doi.org/10.1609/aaai.v35i18.18025

TY - GEN

T1 - Software for Agent-based Network Simulation and Visualization

AU - Shepherd, Patrick

AU - Batts, Isaac

AU - Goldsmith, Judy

AU - Hufbauer, Emory

AU - Weaver, Mia

AU - Zhang, Angela

PY - 2021

Y1 - 2021

N2 - We present a network software suite that can model contagions or opinion manipulation in social networks, that combines features from the standard packages and extends them to allow complex, interacting, dynamic topologies, and dynamic heterogeneous agent types, with individual interaction policies. The framework allows for the easy implementation of new agent types, and provides flexible visualization tools to elucidate network behavior over time.

AB - We present a network software suite that can model contagions or opinion manipulation in social networks, that combines features from the standard packages and extends them to allow complex, interacting, dynamic topologies, and dynamic heterogeneous agent types, with individual interaction policies. The framework allows for the easy implementation of new agent types, and provides flexible visualization tools to elucidate network behavior over time.

UR - https://www.scopus.com/pages/publications/85130091263

UR - https://www.scopus.com/pages/publications/85130091263#tab=citedBy

U2 - 10.1609/aaai.v35i18.18025

DO - 10.1609/aaai.v35i18.18025

M3 - Conference contribution

AN - SCOPUS:85130091263

T3 - 35th AAAI Conference on Artificial Intelligence, AAAI 2021

SP - 16103

EP - 16105

BT - 35th AAAI Conference on Artificial Intelligence, AAAI 2021

T2 - 35th AAAI Conference on Artificial Intelligence, AAAI 2021

Y2 - 2 February 2021 through 9 February 2021

ER -

Software for Agent-based Network Simulation and Visualization

Resumen

Serie de la publicación

Conference

Nota bibliográfica

ASJC Scopus subject areas

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