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 : https://apps.dtic.mil/dtic/tr/fulltext/u2/1001290.pdf


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