Editing Network theory (section)

=== Narrative network analysis ===
[[File:Tripletsnew2012.png|thumb|right|Narrative network of US Elections 2012<ref name="Reference">{{Cite journal |last1=Sudhahar |first1=Saatviga |last2=Veltri |first2=Giuseppe A |last3=Cristianini |first3=Nello |date=2015 |title=Automated analysis of the US presidential elections using Big Data and network analysis |url=http://journals.sagepub.com/doi/10.1177/2053951715572916 |journal=Big Data & Society |language=en |volume=2 |issue=1 |pages=205395171557291 |doi=10.1177/2053951715572916|hdl=2381/31767 |hdl-access=free }}</ref>]]
The automatic parsing of ''[[Text corpus|textual corpora]]'' has enabled the extraction of actors and their relational networks on a vast scale. The resulting [[narrative network]]s, which can contain thousands of nodes, are then analyzed by using tools from Network theory to identify the key actors, the key communities or parties, and general properties such as robustness or structural stability of the overall network, or centrality of certain nodes.<ref>[http://orcp.hustoj.com/wp-content/uploads/2016/01/2013-Network-analysis-of-narrative-content-in-large-corpora.pdf Network analysis of narrative content in large corpora]; S Sudhahar, G De Fazio, R Franzosi, N Cristianini; Natural Language Engineering, 1–32, 2013</ref> This automates the approach introduced by Quantitative Narrative Analysis,<ref>Quantitative Narrative Analysis; Roberto Franzosi; Emory University © 2010</ref> whereby subject-verb-object triplets are identified with pairs of actors linked by an action, or pairs formed by actor-object.<ref name="Reference" />