Who is really in my social circle?
| Autor: | Michele A. Brandão, Pedro O. S. Vaz de Melo, Alberto H. F. Laender, Jeancarlo Campos Leão |
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| Rok vydání: | 2018 |
| Předmět: |
Structure (mathematical logic)
Theoretical computer science Exploit Social network Computer Networks and Communications Computer science business.industry media_common.quotation_subject 02 engineering and technology Computer Science Applications 020204 information systems Similarity (psychology) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Quality (business) Noise (video) Social circle business Topology (chemistry) media_common |
| Zdroj: | Journal of Internet Services and Applications. 9 |
| ISSN: | 1869-0238 1867-4828 |
| Popis: | Tie strength allows to classify social relationships and identify different types of them. For instance, social relationships can be classified as persistent and similar based respectively on the regularity with which they occur and the similarity among them. On the other hand, rare and somewhat similar relationships are random and cause noise in a social network, thus hiding the actual structure of the network and preventing an accurate analysis of it. In this article, we propose a method to handle social network data that exploits temporal features to improve the detection of communities by existing algorithms. By removing random relationships, we observe that social networks converge to a topology with more pure social relationships and better quality community structures. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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