{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T03:35:16Z","timestamp":1752550516358},"reference-count":29,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Advs. Complex Syst."],"published-print":{"date-parts":[[2009,2]]},"abstract":"<jats:p> In this paper we deal with the structural properties of weighted networks. Starting from an empirical analysis of a linguistic network, we analyze the differences between the statistical properties of a real and a shuffled network. We show that the scale-free degree distribution and the scale-free weight distribution are induced by the scale-free strength distribution, that is Zipf's law. We test the result on a scientific collaboration network, that is a social network, and we define a measure \u2013 the vertex selectivity \u2013 that can distinguish a real network from a shuffled network. We prove, via an ad hoc stochastic growing network with second order correlations, that this measure can effectively capture the correlations within the topology of the network. <\/jats:p>","DOI":"10.1142\/s0219525909002039","type":"journal-article","created":{"date-parts":[[2009,3,17]],"date-time":"2009-03-17T11:24:00Z","timestamp":1237289040000},"page":"113-129","source":"Crossref","is-referenced-by-count":21,"title":["DIFFERENCES BETWEEN NORMAL AND SHUFFLED TEXTS: STRUCTURAL PROPERTIES OF WEIGHTED NETWORKS"],"prefix":"10.1142","volume":"12","author":[{"given":"A. P.","family":"MASUCCI","sequence":"first","affiliation":[{"name":"Department of Mathematical Sciences, Brunel University, Uxbridge, Middlesex, UB8 3PH, UK"}]},{"given":"G. 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