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Mining and Analyzing the Italian Parliament: Party Structure and Evolution

Chapter
Publication Date:
2015
abstract:
The roll calls of the Italian Parliament in the current legislature are studied by employing multidimensional scaling, hierarchical clustering, and network analysis. In order to detect changes in voting behavior, the roll calls have been divided in seven periods of six months each. All the methods employed pointed out an increasing fragmentation of the political parties endorsing the previous government that culminated in its downfall. By using the concept of modularity at different resolution levels, we identify the community structure of Parliament and its evolution in each of the time periods considered. The analysis performed revealed as a valuable tool in detecting trends and drifts of Parliamentarians. It 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.
Iris type:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Social network analysis; Italian parliament; Data mining; Genetic algorithms; Political parties
List of contributors:
Pizzuti, Clara; Amelio, Alessia
Authors of the University:
PIZZUTI CLARA
Handle:
https://iris.cnr.it/handle/20.500.14243/299597
Book title:
Recommendation and Search in Social Networks
Published in:
LECTURE NOTES IN SOCIAL NETWORKS
Series
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