ASONAM 2016 tutorials: Tutorial 1: Evolutionary computation for community detection in complex networks
| Autor: | Marc A. Smith, V. S. Subrahmanian, Harald Meier, Clara Pizzuti, Srijan Kumar, Francesca Spezzano |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computational model
business.industry Computer science media_common.quotation_subject 05 social sciences 050301 education Target audience 02 engineering and technology Complex network Data science Evolutionary computation Presentation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business 0503 education media_common |
| Zdroj: | ASONAM |
| DOI: | 10.1109/asonam.2016.7752201 |
| Popis: | Community detection is a hot topic in social networks. The presentation of a different computational paradigm with respect to traditional approaches can be beneficial for researchers to explore new approaches and principles to deal with this problem. The target audience is constituted by all those researchers interested in approaching the problem of community detection with computational models inspired by evolution in nature. No particular background is expected from the audience since the tutorial provides the concepts necessary for understanding the problem. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|