The roll calls of the Italian Parliament in the past legislature are studied by employing network analysis and data mining techniques. In order to study voting behavior, the roll calls have been divided in seven periods of six months each. Topological features characterizing the network are investigated by computing some well known measurements to quantify structural properties, and community detection is applied to uncover the organization of members in groups. The analysis performed showed its effectiveness at identifying political parties and at providing insights on the temporal evolution of groups and their cohesiveness, without having at disposal any knowledge about political membership of Representatives.
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