Study on WeChat User Behaviors of University Graduates

Song, Donglu; Wang, Yujia; You, Fang

doi:10.1109/icdh.2014.73

Cited by 5 publications

(1 citation statement)

References 10 publications

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“…Only several papers are published in foreign journals or meetings, and they are finished by Chinese researchers. These studies are about framework [10,11], function modules [12,13], behaviours of users [14] and application in ESP training [15], market [16,1], latent evidences, etc [17][18][19]. These papers discuss mainly about communicational way, design and implementation of application software, function analysis, network architecture, etc.…”

Section: Related Workmentioning

confidence: 99%

Identification Method of Character Traits Based on Wechat Data

2016

Int. J. Appl. Math. Mach. Learning

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In recent years, WeChat App is used widely as a convenient communication tool, however most attention to WeChat is paid on the commercial value, few to the academic research. Moreover, there are very few studies about identifying adolescent character traits from WeChat data. For the above, a method of determining character traits is proposed. We discuss the characteristics of data from status, content and neighbour of account data, and extract features. Then Naive Bayes (NB), Support Vector Machine (SVM), K Nearest Neighbour (KNN), and Particle Swarm Optimization (PSO) algorithms are used to classify them according to their contributions to traits. Experimental results show that the means of classification based on data features can effectively identify character traits.

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Section: Related Workmentioning

confidence: 99%

Identification Method of Character Traits Based on Wechat Data

2016

Int. J. Appl. Math. Mach. Learning

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Online robot identification by differentiating abnormal behaviors of WeChat users

Dong

Duan

Chen

et al. 2017

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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“Stop Phubbing Me!”

Angeluci

2016

Advances in Electronic Government, Digital Divide, and Regional Development

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In studies on mobile communication, a topic that has been of particular interest is the impact of increased adoption and use of mobile devices in everyday activities and in the context of interpersonal relationships. However, the ease of accessing digital content and connecting to people physically distant through the recent mobile communication technologies has shown barriers and opportunities in human interaction. Based on the theoretical approaches on identity and relational artifacts grounded in mobility and absent presence concepts, this paper describes some aspects among young people in Brazil in relation to the “phubbing” phenomenon. The term was coined to describe the act of ignoring someone due to the use of a smartphone. The results indicated effects on the level of attention and interaction, regarding not only the content of smartphone, but also the social protocol and the face-to-face communication.

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Study on WeChat User Behaviors of University Graduates

Cited by 5 publications

References 10 publications

Identification Method of Character Traits Based on Wechat Data

Identification Method of Character Traits Based on Wechat Data

Online robot identification by differentiating abnormal behaviors of WeChat users

“Stop Phubbing Me!”

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