Abstract
Complex network studies span a large variety of applications including linguistic networks. To investigate the differences in book and social media texts in terms of linguistic typology, we constructed both sequential and sentence collocation networks of book, Facebook and Twitter texts with undirected and weighted edges. The comparisons are performed using the basic parameters like average degree, modularity, average clustering coefficient, average path length, diameter, average link weight etc. We also presented the distribution graphs for node degrees, edge weights and maximum degree differences of the pairing nodes. The degree difference occurrences are furtherly detailed with the grayscale percentile plots with respect to the edge weights. We linked the network analysis with linguistic aspects like word and sentence length distributions. We concluded that linguistic typology demonstrates a formal usage in book that slightly deviates to informal in Twitter. Facebook interpolates between these media by the means of network parameters, while the informality of Twitter is mostly influenced by the character limitations.
Highlights
A network is a system consisting of components named as nodes, those are interconnected with links
Studied as sequential and sentence collocation networks, the book and social media texts display different characteristics yielding the variations in the language use in formal and informal media
The Facebook texts, written more comfortable without limitations, can be evaluated as the direction of the language evolution. By this point of view, the statistical differences in book and Facebook texts mentioned above define the alternation of the language use in formal and informal media, defining the deviation that is firstly evident in the informal media
Summary
A network is a system consisting of components named as nodes, those are interconnected with links. As an emerging branch of science, complex network studies have covered a wide range of applications since the beginning of this century. This study was the first that uncovered the “small world” phenomenon outlining there is a relatively short distance between two nodes in a self-organized system, as an average of six links. This study is consistent with many complex networks such as the .NET Messenger service having an average separation of 6.6 (Leskovec and Horvitz 2008) or today’s Twitter or Facebook friendship networks, with a small update having average distances 4.67 (Sysomos 2010) and 4.7 (Ugander et al 2011) respectively. Including the leading studies about complex networks in natural sciences, complex systems in an extensive range of variety like the neural networks, power grid networks, transportation networks, scientific collaboration networks, social networks, the network
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
