wikipedia information flow analysis reveals the scale-free architecture of the semantic space维基百科信息流分析显示无尺度结构的语义空间.pdfVIP

Wikipedia Information Flow Analysis Reveals the Scale- Free Architecture of the Semantic Space 1 2 ´ ´ 1 ´ ´ 1 Adolfo Paolo Masucci *, Alkiviadis Kalampokis , Victor Martınez Eguıluz , Emilio Hernandez-Garcıa ´ ´ 1 Instituto de Fısica Interdisciplinar y Sistemas Complejos, Consejo Superior de Investigaciones Cientıficas - Universitat de les Illes Balears, Palma de Mallorca, Spain, 2 Department of Marine Sciences, University of the Aegean, Mytilene, Lesvos, Greece Abstract In this paper we extract the topology of the semantic space in its encyclopedic acception, measuring the semantic flow between the different entries of the largest modern encyclopedia, Wikipedia, and thus creating a directed complex network of semantic flows. Notably at the percolation threshold the semantic space is characterised by scale-free behaviour at different levels of complexity and this relates the semantic space to a wide range of biological, social and linguistics phenomena. In particular we find that the cluster size distribution, representing the size of different semantic areas, is scale- free. Moreover the topology of the resulting semantic space is scale-free in the connectivity distribution and displays small- world properties. However its statistical properties do not allow a classical interpretation via a generative model based on a simple multiplicative process. After giving a detailed description and interpretation of the topological properties of the semantic space, we introduce a stochastic model of content-based network, based on a copy and mutation algorithm and on the