This chapter 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. Traditional and novel 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.
Analyzing Collaborations Through Content-Based Social Networks / Cucchiarelli, Alessandro; D'Antonio, F; Velardi, P.. - STAMPA. - (2010), pp. 387-409. [10.1007/978-1-84882-229-0_15]
Analyzing Collaborations Through Content-Based Social Networks
CUCCHIARELLI, ALESSANDROPrimo
;
2010-01-01
Abstract
This chapter 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. Traditional and novel 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
