Life-Cycles and Mutual Effects of Scientiﬁc Communities
Publication Type:Conference Paper
Assessment of scientific progress based on citation measures is static. Analysis and modelling of dynamic mutual effects of scientific communities promises to be a more viable form of evaluation of progress and impact of a research community. We propose a general framework uniquely combining topological and content analysis with special visualization techniques to analyse and explain such dynamics.