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In this report a computational study of ConceptNet 4 is performed using toolsfrom the field of network analysis. Part I describes the process of extractingthe data from the SQL database that is available online, as well as how theclosure of the input among the assertions in the English language is computed.This part also performs a validation of the input as well as checks for theconsistency of the entire database. Part II investigates the structuralproperties of ConceptNet 4. Different graphs are induced from the knowledgebase by fixing different parameters. The degrees and the degree distributionsare examined, the number and sizes of connected components, the transitivityand clustering coefficient, the cores, information related to shortest paths inthe graphs, and cliques. Part III investigates non-overlapping, as well asoverlapping communities that are found in ConceptNet 4. Finally, Part IVdescribes an investigation on rules.

Commonsense Reasoning and Large Network Analysis: A Computational Study of ConceptNet 4