ICIC 25583
INSTITUTO DE CIENCIAS E INGENIERIA DE LA COMPUTACION
Unidad Ejecutora - UE
artículos
Título:
Reasoning about Sentiment and Knowledge Diffusion in Social Networks
Autor/es:
FALAPPA, MARCELO A.; GALLO, FABIO R.; MARTINEZ, MARIA VANINA; SANTOS, NATALIA ABAD; SIMARI, GERARDO I.; FALAPPA, MARCELO A.; GALLO, FABIO R.; MARTINEZ, MARIA VANINA; SANTOS, NATALIA ABAD; SIMARI, GERARDO I.
Revista:
IEEE INTERNET COMPUTING
Editorial:
IEEE COMPUTER SOC
Referencias:
Año: 2017 vol. 21 p. 8 - 17
ISSN:
1089-7801
Resumen:
Social media platforms, taken in conjunction, can be seen as complex networks; in this context, understanding how agents react to sentiments expressed by their connections is of great interest. Here, the authors show how Network Knowledge Bases help represent the integration of multiple social networks, and explore how information flow can be handled via belief revision operators for local (agent-specific) knowledge bases. They report on preliminary experiments on Twitter data showing that different agent types react differently to the same information ? this is a first step toward developing tools to predict how agents behave as information flows in their social environment.
