UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRCS06024


Registration ID:
211854

Page Number

98-101

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Title

Detecting Stress Based on Social Interactions in Social Networks

Abstract

Psychological stress is ominous person’s health. It is non-trivial to detect stress timely for proactive care. With the attractive of social media, person are used to sharing their daily task and communicating with friends on social media platforms, making it feasible to leverage online social network data for stress detection. In this paper, we find that users stress condition is closely related to that of his/her friends in social media, and we employ a large-scale dataset from real-world social platforms to systematically examine the connection of users’ stress condition’s and social interactions. We first define a set of stress-related textual analysis, visual, and social attributes from various aspects, and then propose a novel hybrid model – a factor graph model combined with Convolutional Neural Network to leverage tweet content and social interaction information for stress detection. Experimental results show that the proposed model can better the detection performance by 6-9% in F1-score. By further analysing the social interaction data, we also discover several intriguing phenomena, i.e. the number of social structures of sparse connections (i.e. with no delta connections) of stressed users is around 14% more than that of non-stressed users, indicating that the social structure of stressed users’ friends tend to be less connected and less complicated than that of non-stressed us.

Key Words

Stress detection, factor graph model, micro-blog, social media, healthcare, social interaction

Cite This Article

"Detecting Stress Based on Social Interactions in Social Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.98-101, May 2019, Available :http://www.jetir.org/papers/JETIRCS06024.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Detecting Stress Based on Social Interactions in Social Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp98-101, May 2019, Available at : http://www.jetir.org/papers/JETIRCS06024.pdf

Publication Details

Published Paper ID: JETIRCS06024
Registration ID: 211854
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 98-101
Country: -, --, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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