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.
Original language | English |
---|---|
Title of host publication | 35th AAAI Conference on Artificial Intelligence, AAAI 2021 |
Pages | 16103-16105 |
Number of pages | 3 |
ISBN (Electronic) | 9781713835974 |
DOIs | |
State | Published - 2021 |
Event | 35th AAAI Conference on Artificial Intelligence, AAAI 2021 - Virtual, Online Duration: Feb 2 2021 → Feb 9 2021 |
Publication series
Name | 35th AAAI Conference on Artificial Intelligence, AAAI 2021 |
---|---|
Volume | 18 |
Conference
Conference | 35th AAAI Conference on Artificial Intelligence, AAAI 2021 |
---|---|
City | Virtual, Online |
Period | 2/2/21 → 2/9/21 |
Bibliographical note
Publisher Copyright:Copyright © 2021, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved
ASJC Scopus subject areas
- Artificial Intelligence