Artículos de revistas
Reasoning about Sentiment and Knowledge Diffusion in Social Networks
Fecha
2017-12Registro en:
Gallo, Fabio Rafael; Simari, Gerardo; Martinez, Maria Vanina; Abad Santos, Natalia Vanesa; Falappa, Marcelo Alejandro; Reasoning about Sentiment and Knowledge Diffusion in Social Networks; IEEE Computer Society; IEEE Internet Computing; 21; 6; 12-2017; 8-17
1089-7801
CONICET Digital
CONICET
Autor
Gallo, Fabio Rafael
Simari, Gerardo
Martinez, Maria Vanina
Abad Santos, Natalia Vanesa
Falappa, Marcelo Alejandro
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.