Generating realistic scaled complex networks
Abstract Research on generative models plays a central role in the emerging field of network science, studying how statistical patterns found in real networks could be generated by formal rules. Output from these generative models is then the basis for designing and evaluating computational methods...
| 主要な著者: | , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
SpringerOpen
2017-10-01
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| シリーズ: | Applied Network Science |
| 主題: | |
| オンライン･アクセス: | http://link.springer.com/article/10.1007/s41109-017-0054-z |