#研究分享#【点赞狂魔为什么忍不住要点赞】

#研究分享#【点赞狂魔为什么忍不住要点赞】哈尔滨工业大学的研究人员通过对使用在线医疗的病人进行研究发现:1、拥有更多社会关系的病人会更倾向于给别人点赞并收到更多点赞;2、之前频繁点赞的病人会倾向于继续不断给他人点赞;3、活跃的病人会不断点赞,也会不断收到点赞。 http://www.looooker.com/archives/13391

Modelling liking networks in an online healthcare community: An exponential random graph model analysis approach

Xiaolong Song   Harbin  Institute of Technology, People’s Republic of China

Xiangbin Yan   Harbin  Institute of Technology, People’s Republic of China

Yumei Li           Harbin  Institute of Technology, People’s Republic of China

Abstract

The value and role of the Like button in social media have gained increased attention/focus, yet we know little about how liking relations form between Likers and Likeds. We study this problem in an online healthcare context from a social network perspective. Taking into account the effects of both the network structures and the attributes of Likers and Likeds, we utilize a theory-grounded statistical modelling approach, Exponential Random Graph Models (ERGMs), to model the liking network in an online healthcare community. The results of ERGM analysis reveal that, while network degree exhibits a big effect in the liking process, individual attributes like the level of past involvement and degree of activity also positively influence members’ future liking behaviour and performance. The evaluation indicates that our model is an effective method to identify the formation of liking networks. The findings extend the understanding of online liking behaviour and provide insights into harnessing the power of liking.

Keywords: ERGMs; Health 2.0; liking networks; network dynamics

Journal of Information Science 2015, Vol. 41(1) 89–96


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