Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/53330
Title: Social network extraction and analysis based on multimodal dyadic interaction
Author: Escalera Guerrero, Sergio
Baró i Solé, Xavier
Vitrià i Marca, Jordi
Radeva, Petia
Raducanu, Bogdan
Keywords: Interacció social
Xarxes socials
Anàlisi de xarxes (Planificació)
Social interaction
Social networks
Network analysis (Planning)
Issue Date: 7-Feb-2012
Publisher: MDPI Publishing
Abstract: Social interactions are a very important component in people"s 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 Times" Blogging Heads opinion blog. The Social Network is represented as an oriented graph, whose directed links are determined by the Influence Model. The links" weights are a measure of the"influence" 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.
Note: Reproducció del document publicat a: 10.3390/s120201702
It is part of: Sensors, 2012, vol. 12, num. 2, p. 1702-1719
Related resource: http://dx.doi.org/10.3390/s120201702
URI: http://hdl.handle.net/2445/53330
ISSN: 1424-8220
Appears in Collections:Articles publicats en revistes (Matemàtiques i Informàtica)

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