Co-occurrence Network of Reuters News
| dc.creator | Ozgur, Arzucan | |
| dc.creator | Cetin, Burak | |
| dc.creator | Bingol, Haluk | |
| dc.date | 2007-12-15 | |
| dc.date.accessioned | 2026-07-07T09:54:52Z | |
| dc.date.available | 2026-07-07T09:54:52Z | |
| dc.description | Networks describe various complex natural systems including social systems. We investigate the social network of co-occurrence in Reuters-21578 corpus, which consists of news articles that appeared in the Reuters newswire in 1987. People are represented as vertices and two persons are connected if they co-occur in the same article. The network has small-world features with power-law degree distribution. The network is disconnected and the component size distribution has power law characteristics. Community detection on a degree-reduced network provides meaningful communities. An edge-reduced network, which contains only the strong ties has a star topology. "Importance" of persons are investigated. The network is the situation in 1987. After 20 years, a better judgment on the importance of the people can be done. A number of ranking algorithms, including Citation count, PageRank, are used to assign ranks to vertices. The ranks given by the algorithms are compared against how well a person is represented in Wikipedia. We find up to medium level Spearman's rank correlations. A noteworthy finding is that PageRank consistently performed worse than the other algorithms. We analyze this further and find reasons. | |
| dc.description | 10 pages, 4 figures, 6 tables | |
| dc.identifier | https://arxiv.org/abs/0712.2491 | |
| dc.identifier | http://arxiv.org/abs/0712.2491 | |
| dc.identifier | International Journal of Modern Physics C, Vol. 19, No. 5 (2008) 689-702 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/166475 | |
| dc.subject | Physics and Society | |
| dc.title | Co-occurrence Network of Reuters News | |
| dc.type | text |