Who is really in my social circle?

Journal of Internet Services and Applications

Michele A. Brandão¹  Pedro O. S. Vaz de Melo¹  Alberto H. F. Laender¹  Jeancarlo C. Leão² 

[1] Departamento de Ciência da Computação, Universidade Federal de Minas Gerais;Instituto Federal do Norte de Minas Gerais;

关键词: Social networks;    Link assessment;    Tie strength;    Temporal features;    Community detection;   

DOI  :  10.1186/s13174-018-0091-6

来源: DOAJ

【 摘 要 】

Abstract 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.

【 授权许可】

Unknown