A comparative analysis on computational methods for fitting an ERGM to biological network data
Exponential random graph models (ERGM) based on graph theory are useful in studying global biological network structure using its local properties. However, computational methods for fitting such models are sensitive to the type, structure and the number of the local features of a network under stud...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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International Academy of Ecology and Environmental Sciences
2015-03-01
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| Series: | Network Biology |
| Subjects: | |
| Online Access: | http://www.iaees.org/publications/journals/nb/articles/2015-5(1)/computational-methods-for-fitting-an-ERGM-to-biological-network-data.pdf |