Chinese Journal of Sociology ›› 2019, Vol. 39 ›› Issue (6): 1-22.

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Dual Powers of Virtual-Real Transformation in Social Networks

BIAN Yanjie, MIAO Xiaolei   

  1. School of Humanities and Social Sciences, IESSR, Xi'an Jiaotong University
  • Published:2019-11-19
  • Supported by:
    The research is supported by Chinese National Social Science Foundation (13&ZD177).

Abstract: How do online social networks transform to offline social networks? This paper discusses online pushing power and offline pulling power of such transformation. The number of close online friends and professional orientation toward online networking are the two indicators of online pushing power, and interpersonal communication needs and exchange networking abilities are the two indicators of offline pulling power. JSNET 2014 dataset shows that the number of online close friends has a positive pushingimpact on the virtual-real transformation, but such an impact is not linear because when someone has more than 50 close online friends, this impact will begin weakening, which confirms the existence of Dunbar's digital law in China. At the same time, the other indicator of the online pushing power also generates a positive impact, because professional online users have significantly more close online friends to become offline friends than non-professional online users.The variables of offline pulling power generate equally impressive effects. For one, the frequency of attending social eating activities, a variable of social exchange needs, increases the transferring of online friends to offline friends. For another, economic income, a variable of economic ability to entertain social eating activities, also significantly increases this virtual-to-real transformation of friendships. Importantly, all of these empirical results are obtained after personal characteristics of the survey respondents are statistically controlled for, which indicate that the online pushing powers and the offline pulling powers both have independent effects.Sheaf-coefficients analysis shows that the influence of online pushing power is greater than that of offline pulling power. Statistical models also show an interactive effect of social exchange needs and abilities, because higher-income groups are not only free of the effects of social-eating frequency, but their willingness of interpersonal networking also gets lower when their income gets higher.

Key words: social networks, online networking, offline networking, social capital