تقرير
A Network Epidemic Model for Online Community Commissioning Data
| العنوان: | A Network Epidemic Model for Online Community Commissioning Data |
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| المؤلفون: | Lee, Clement, Garbett, Andrew, Wilkinson, Darren J. |
| سنة النشر: | 2017 |
| المجموعة: | Computer Science Statistics |
| مصطلحات موضوعية: | Statistics - Computation, Computer Science - Social and Information Networks, Statistics - Methodology |
| الوصف: | A statistical model assuming a preferential attachment network, which is generated by adding nodes sequentially according to a few simple rules, usually describes real-life networks better than a model assuming, for example, a Bernoulli random graph, in which any two nodes have the same probability of being connected, does. Therefore, to study the propogation of "infection" across a social network, we propose a network epidemic model by combining a stochastic epidemic model and a preferential attachment model. A simulation study based on the subsequent Markov Chain Monte Carlo algorithm reveals an identifiability issue with the model parameters. Finally, the network epidemic model is applied to a set of online commissioning data. Comment: 28 pages, 9 figures, 2 tables |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1007/s11222-017-9770-6 |
| URL الوصول: | http://arxiv.org/abs/1702.07662 |
| رقم الأكسشن: | edsarx.1702.07662 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1007/s11222-017-9770-6 |
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