The current study provides the possibility of merging Laclau and Mouffe’s theory of discourse analysis with network theory to specify an alternative bedstead for studying discourse via a semi-automatic algorithm. To do so, first, considering the text as the discourse of complex system, a semi-automatic algorithm is implemented to transform the interacting linguistic components into a network which is depicted as a graph of vertices connected by edges. Then, some of the graph statistics, e.g. degree, weighted degree, eigenvector centrality, etc., are identified for characterizing the nodes as moments, nodal points, and/or nodal point of identity. Finally, the articulation of the discourse based on the above-mentioned components is studied. The results indicate that the approach is strong enough to pave a way for studying the articulation of the discourse from an alternative view, especially based on Laclau and Mouffe’s theory of discourse analysis.
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