The dynamic evolution of social ties and user-generated content: a case study on a Douban group

被引:11
作者
Shan, Siqing [1 ]
Ren, Jie [1 ]
Li, Cangyan [1 ]
机构
[1] Beihang Univ, Sch Econ & Management, Dept Informat Syst, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
Social media; social ties; user-generated content; content networks; COMPLEX NETWORKS; CENTRALITY;
D O I
10.1080/17517575.2016.1177204
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As platforms based on user-generated content (UGC), social media platforms emphasise the social ties between users and user participation, which promote the communication and propagation of ideas and help to build and maintain relationships. However, many researchers have studied only predefined social networks, such as academic social networks. We believe that there are certain characteristics associated with the network's UGC worth evaluating. We conducted research in communities in which content attracts discussion and new members and examined the evolution patterns of social and content networks in a topic-oriented Douban group. Datasets of user and content information in communities of interest were collected through web crawler software. Networks based on social and content ties were constructed and analysed. We chose scale, density, centrality, average path length and cluster coefficient as measures for exploring the evolution and correlation of both types of networks. These findings are valuable for social media marketing and helpful in directing and controlling public opinion.
引用
收藏
页码:1462 / 1480
页数:19
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