CLDLSISOC-PHJul 11, 2017

Look Who's Talking: Bipartite Networks as Representations of a Topic Model of New Zealand Parliamentary Speeches

arXiv:1707.03095v323 citations
Originality Synthesis-oriented
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This provides a quantitative tool for political scientists and policymakers to analyze parliamentary discourse, though it is incremental as it applies existing methods like LDA and network analysis to new data.

The study tackled the lack of quantitative methods to measure participation in parliamentary debates by developing a new approach using a topic model on New Zealand parliamentary speeches from 2003-2016, revealing thematic patterns and constructing bipartite networks to analyze dynamical changes in topic networks and party evolution.

Quantitative methods to measure the participation to parliamentary debate and discourse of elected Members of Parliament (MPs) and the parties they belong to are lacking. This is an exploratory study in which we propose the development of a new approach for a quantitative analysis of such participation. We utilize the New Zealand government's digital Hansard database to construct a topic model of parliamentary speeches consisting of nearly 40 million words in the period 2003-2016. A Latent Dirichlet Allocation topic model is implemented in order to reveal the thematic structure of our set of documents. This generative statistical model enables the detection of major themes or topics that are publicly discussed in the New Zealand parliament, as well as permitting their classification by MP. Information on topic proportions is subsequently analyzed using a combination of statistical methods. We observe patterns arising from time-series analysis of topic frequencies which can be related to specific social, economic and legislative events. We then construct a bipartite network representation, linking MPs to topics, for each of four parliamentary terms in this time frame. We build projected networks (onto the set of nodes represented by MPs) and proceed to the study of the dynamical changes of their topology, including community structure. By performing this longitudinal network analysis, we can observe the evolution of the New Zealand parliamentary topic network and its main parties in the period studied.

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