<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>6</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Quan Zheng</style></author><author><style face="normal" font="default" size="100%">David Skillicorn</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Social Networks with Rich Edge Semantics (Open Access)</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><publisher><style face="normal" font="default" size="100%">CRC Press</style></publisher><pub-location><style face="normal" font="default" size="100%">Boca Raton</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Francesco Calderoni</style></author><author><style face="normal" font="default" size="100%">David Skillicorn</style></author><author><style face="normal" font="default" size="100%">Quan Zheng</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Inductive Discovery of Criminal Group Structure Using Spectral Embedding</style></title><secondary-title><style face="normal" font="default" size="100%">Information &amp; Security: An International Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Italian Mafia</style></keyword><keyword><style  face="normal" font="default" size="100%">network evolution</style></keyword><keyword><style  face="normal" font="default" size="100%">Oranised crime</style></keyword><keyword><style  face="normal" font="default" size="100%">Simmelian backbone</style></keyword><keyword><style  face="normal" font="default" size="100%">Social network analysis</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">November 2014</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">31</style></volume><pages><style face="normal" font="default" size="100%">49-66</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Social network analysis has often been applied to the content of communications within criminal groups to understand their internal structure and dynamics. While access to the content of communications may be restricted by constitutional and procedural constraints, this article applies advanced network analysis techniques based on spectral embedding to telephone communications data. Spectral embedding facilitates deeper analysis by embedding the graph representing a social network in a geometric space such that Euclidean distance reflects pairwise node dissimilarity. This enables drawing a network in ways that accurately reflect the structure of the underlying group, and computing properties directly from the embedding. We illustrate spectral approaches for two Ndrangheta drug-smuggling networks, and extend them to a) examine triad structure (through the identification of the Simmelian backbone), which elicits key members, and b) to display temporal properties, which illustrates changing group structure. The results show that the two groups, although having the same purpose and coming from the same criminal milieu, have substantially different internal structure which was not detectable using conventional social-network approaches. The techniques presented in this study may support law enforcement in the early stages of an investigation.</style></abstract><section><style face="normal" font="default" size="100%">49</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">David Skillicorn</style></author><author><style face="normal" font="default" size="100%">Quan Zheng</style></author><author><style face="normal" font="default" size="100%">Carlo Morselli</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Modelling Dynamic Social Networks Using Spectral Embedding</style></title><secondary-title><style face="normal" font="default" size="100%">Social Network Analysis and Mining</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year></dates><volume><style face="normal" font="default" size="100%">4</style></volume><pages><style face="normal" font="default" size="100%">182</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>