Comparison of the language networks from literature and blogs
This work addresses the characterization of language use in different text types, but it is incremental as it applies existing network analysis methods to new data.
The study compared linguistic networks constructed from literature and blog texts, analyzing global and local network properties, and found structural differences between the two based on selectivity-based results.
In this paper we present the comparison of the linguistic networks from literature and blog texts. The linguistic networks are constructed from texts as directed and weighted co-occurrence networks of words. Words are nodes and links are established between two nodes if they are directly co-occurring within the sentence. The comparison of the networks structure is performed at global level (network) in terms of: average node degree, average shortest path length, diameter, clustering coefficient, density and number of components. Furthermore, we perform analysis on the local level (node) by comparing the rank plots of in and out degree, strength and selectivity. The selectivity-based results point out that there are differences between the structure of the networks constructed from literature and blogs.