Accession Number : AD1001290

Title :   Empirical Evaluation of Different Feature Representations for Social Circles Detection

Descriptive Note : Conference Paper

Corporate Author : Universitat Politecnica De Valencia VALENCIA United States

Personal Author(s) : Alonso,Jesus ; Paredes,Roberto ; Rosso,Paolo

Full Text :

Report Date : 16 Jun 2015

Pagination or Media Count : 10

Abstract : Social circles detection is a special case of community detection in social network that is currently attracting a growing interest in the research community. We propose in this paper an empirical evaluation of the multi-assignment clustering method using different feature representation models. We define different vectorial representations from both structural egonet information and user profile features. We study and compare the performance on the available labelled Facebook data from the Kaggle competition on learning social circles in networks. We compare our results with several different baselines.

Descriptors :   detection , clustering , social networks , social media

Distribution Statement : APPROVED FOR PUBLIC RELEASE