Commonsense Reasoning and Large Network Analysis: A Computational Study of ConceptNet 4
@article{Diochnos2013CommonsenseRA, title={Commonsense Reasoning and Large Network Analysis: A Computational Study of ConceptNet 4}, author={Dimitrios I. Diochnos}, journal={ArXiv}, year={2013}, volume={abs/1304.5863} }
In this report a computational study of ConceptNet 4 is performed using tools from the field of network analysis. Part I describes the process of extracting the data from the SQL database that is available online, as well as how the closure 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 the consistency of the entire database. Part II investigates the structural properties of ConceptNet 4. Different… CONTINUE READING
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Figures and Tables
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References
SHOWING 1-10 OF 28 REFERENCES
Finding community structure in mega-scale social networks: [extended abstract]
- Computer Science, Physics
- WWW '07
- 2007
- 397
- PDF
Finding community structure in very large networks.
- Physics, Medicine
- Physical review. E, Statistical, nonlinear, and soft matter physics
- 2004
- 5,225
- PDF
Community structure in social and biological networks
- Computer Science, Medicine
- Proceedings of the National Academy of Sciences of the United States of America
- 2002
- 11,662
- PDF
Uncovering the overlapping community structure of complex networks in nature and society
- Physics, Medicine
- Nature
- 2005
- 4,475
- PDF
Finding community structure in networks using the eigenvectors of matrices.
- Mathematics, Medicine
- Physical review. E, Statistical, nonlinear, and soft matter physics
- 2006
- 3,608
- PDF
Near linear time algorithm to detect community structures in large-scale networks.
- Computer Science, Medicine
- Physical review. E, Statistical, nonlinear, and soft matter physics
- 2007
- 2,333
- PDF
Computing Communities in Large Networks Using Random Walks
- Computer Science, Physics
- J. Graph Algorithms Appl.
- 2006
- 1,976
- PDF