IoT Data Collection Based on Social Network Models
| Autor: | Man Tianxing, Nataly Zhukova, Aung Myo Thaw, Mustafin Nikolay |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Data collection
Social network internet of thing business.industry Computer science Social network analysis (criminology) Data science lcsh:Telecommunication lcsh:TK5101-6720 social network friendship The Internet fog computing business Internet of Things Complex problems Heterogeneous network clustering |
| Zdroj: | FRUCT Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 26, Iss 1, Pp 458-463 (2020) |
| DOI: | 10.23919/fruct48808.2020.9087350 |
| Popis: | Nowadays, the heterogeneous network and devices of IoT become more complex and encountered several challenges. The investigations of social networks show that social network analysis methods are useful for the evolution and development of communication and social network models allow solving Internet-related problems. And they can provide more exact answers for complex problems. This article analyzes some methods of SNA from different aspects and investigated compatible methods to apply in IoT. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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