中心性
社会化媒体
用户生成的内容
人际关系
万维网
网络爬虫
社交网络(社会语言学)
计算机科学
内容(测量理论)
网络科学
数据科学
社会学
复杂网络
社会科学
数学分析
组合数学
数学
作者
Shiguang Shan,Jie Ren,Cangyan Li
标识
DOI:10.1080/17517575.2016.1177204
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.
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