HCI International 2015
Los Angeles, CA, USA
2-7 August 2015

Navigation Menu

Social Computing and Social Media Best Paper Award

Social Computing and Social Media Best Paper Award. Details in text following the image.

Best Paper Award for the 7th International Conference on Social Computing and Social Media, in the context of HCI International 2015, 2-7 August 2015, Los Angeles, CA, USA

 

Certificate for best paper award of the 7th International Conference on Social Computing and Social Media. Details in text following the image

Certificate for Best Paper Award of the 7th International Conference on Social Computing and Social Media
conferred to

Zenun Kastrati, Ali Shariq Imran, Sule Yildirim Yayilgan and Fisnik Dalipi
(Gjøvik University College, Norway)

for the paper entitled

"Analysis of Online Social Networks Posts to Investigate Suspects Using SEMCON"

Presented in the context of
HCI International 2015
2-7 August 2015, Los Angeles, CA, USA

Paper Abstract
"Analysing users’ behaviour and social activity for investigating suspects is an area of great interest nowadays, particularly investigating the activities of users on Online Social Networks (OSNs) for crimes. The criminal activity analysis provides a useful source of information for law enforcement and intelligence agencies across the globe. Current approaches dealing with the social criminal activity analysis mainly rely on the contextual analysis of data using only co-occurrence of terms appearing in a document to find the relationship between criminal activities in a network. In this paper, we propose a model for automated social network analysis in order to assist law enforcement and intelligence agencies to predict whether a user is a possible suspect or not. The model uses web crawlers suited to retrieve users’ data such as posts, feeds, comments, etc., and exploits them semantically and contextually using an ontology enhancement objective metric SEMCON. The output of the model is a probability value of a user being a suspect which is computed by finding the similarity between the terms obtained from the SEMCON and the concepts of criminal ontology. An experiment on analysing the public information of 20 Facebook users is conducted to evaluate the proposed model."

The full paper is available through SpringerLink, provided that you have proper access rights.

follow us Icon Link: Follow us on Facebook Icon Link: Follow us on Twitter