Random Reference Models and Network Rewiring in Temporal Network Clustering
Computing on temporal networks is difficult because of their dynamic nature. One way to solve this is to slice them into multilayer networks, but this results in a loss of information. This thesis tries to find out at which number of slices this loss of information is at a minimum by using random re...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Institutionen för informationsteknologi
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-441504 |