INVESTIGADORES
FERNANDEZ SLEZAK Diego
artículos
Título:
Fast Distributed Dynamics of Semantic Networks via Social Media
Autor/es:
CARRILLO, FACUNDO; SIGMAN, MARIANO; CECCHI, GUILLERMO; FERNÁNDEZ SLEZAK, DIEGO
Revista:
Computational Intellgence and Neuroscience
Editorial:
Hindawi
Referencias:
Año: 2015 vol. 2015
ISSN:
1687-5273
Resumen:
We set to investigate the {sl dynamics} of semantic organization using social media, a collective expression of human thought. We propose a novel, time-dependent semantic similarity measure (TSS), based on the social network Twitter. We show that TSS is consistent with static measures of similarity, but provides high temporal resolution for the identification of real-world events and induced changes in the distributed structure of semantic relationships across the entire lexicon. Using TSS, we measured the evolution of a concept and its movement along the semantic neighborhood, driven by specific news/events. Finally, we showed that particular events may trigger a temporary reorganization of elements in the semantic network.
