Statistical analysis of the social network and discussion threads in Slashdot
Statistical analysis of the social network and discussion threads in Slashdot
Citació
- Gómez V, Kaltenbrunner A, López V. Statistical analysis of the social network and discussion threads in Slashdot. In: WWW '08 Proceedings of the 17th international conference on World Wide Web; 2008 April 21-25; Beijing, China. New York: ACM; 2008. p. 645-54. doi: 10.1145/1367497.1367585
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Resum
We analyze the social network emerging from the user comment activity on the website Slashdot. The network presents/ncommon features of traditional social networks such as a giant component, small average path length and high clustering, but differs from them showing moderate reciprocity and neutral assortativity by degree. Using Kolmogorov-Smirnov/nstatistical tests, we show that the degree distributions are better explained by log-normal instead of power-law distributions./nWe also study the structure of discussion threads using an intuitive radial tree representation. Threads show strong heterogeneity and self-similarity throughout the different nesting levels of a conversation. We use these results to propose a simple measure to evaluate the degree of controversy provoked by a post.