TY  - JOUR
AU  - Sergio Escalera
AU  - Xavier Baro
AU  - Jordi Vitria
AU  - Petia Radeva
AU  - Bogdan Raducanu
PY  - 2012//
TI  - Social Network Extraction and Analysis Based on Multimodal Dyadic Interaction
T2  - SENS
JO  - Sensors
SP  - 1702
EP  - 1719
VL  - 12
IS  - 2
PB  - Molecular Diversity Preservation International
N2  - IF=1.77 (2010)Social interactions are a very important component in peopleís lives. Social network analysis has become a common technique used to model and quantify the properties of social interactions. In this paper, we propose an integrated framework to explore the  characteristics of a social network extracted from multimodal dyadic interactions. For our study, we used a set of videos belonging to New York Timesí Blogging Heads opinion blog.The Social Network is represented as an oriented graph, whose directed links are determined by the Influence Model. The linksí weights are a measure of the ìinfluenceî a person has over the other. The states of the Influence Model encode automatically extracted audio/visual features from our videos using state-of-the art algorithms. Our results are reported in terms of accuracy of audio/visual data fusion for speaker segmentation and centrality measures used to characterize the extracted social network.
L1  - http://refbase.cvc.uab.es/files/EBV2012.pdf
UR  - http://dx.doi.org/10.3390/s120201702
N1  - MILAB; OR;HuPBA;MV
ID  - Sergio Escalera2012
ER  -