This paper presents a methodology and a software application to support the analysis of collaborations and collaboration content in scientific communities. High quality terminology extraction, semantic graphs and clustering techniques are used to identify the relevant research topics. Social analysis tools are then used to study the emergence of interests around certain topics, the evolution of collaborations around these themes, and to identify potential for better cooperation. © 2008 IEEE.
Modeling collaborations content in social network analysis / Cucchiarelli, ; Velardi, Paola; F., Curzi D'Antonio. - (2008), pp. 188-191. (Intervento presentato al convegno 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 tenutosi a Sydney; Australia nel 9 December 2008 through 12 December 2008) [10.1109/wiiat.2008.119].
Modeling collaborations content in social network analysis
VELARDI, Paola;
2008
Abstract
This paper presents a methodology and a software application to support the analysis of collaborations and collaboration content in scientific communities. High quality terminology extraction, semantic graphs and clustering techniques are used to identify the relevant research topics. Social analysis tools are then used to study the emergence of interests around certain topics, the evolution of collaborations around these themes, and to identify potential for better cooperation. © 2008 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
