评估使用捐赠数据的移动即时通讯网络
Rense Corten1, Laura Boeschoten2, Thijs Carrière2
1Department of Sociology/ICS, Utrecht University, Utrecht, The Netherlands.
概括
这项研究揭示了像WhatsApp这样的移动即时通讯服务 (MIMS) 的网络结构. 联系网络遵循日志常态分布,而组成员的分布是指数的.
科学领域:
- 社交网络分析 社交网络分析
- 通信技术 通信技术 通信技术
- 计算社会科学 计算社会科学
背景情况:
- 关于社交媒体的研究主要集中在Twitter和Facebook等传统平台上.
- 移动即时通讯服务 (MIMS) 越来越受欢迎,但由于数据访问挑战,它们的网络结构仍未得到充分研究.
研究的目的:
- 调查社会规模的即时通讯网络的拓特征.
- 在国家概率样本上提供MIMS使用率的首次测量,重点是WhatsApp.
- 分析度分布作为一个关键的网络拓特征.
主要方法:
- 使用数据捐赠方法与来自荷兰高质量的基于概率的小组 (LISS小组) 的受访者.
- 在确保隐私保护的同时收集用户数据.
- 专注于WhatsApp作为样本中最受欢迎的MIMS.
主要成果:
- 在WhatsApp网络中,联系人的程度分布最好通过日志正常分布来近似.
- 群体成员的分布最好用指数分布来近似.
- 个体级度的预测者在很大程度上复制了关于扩展网络的文献中的发现.
结论:
- 这项研究提供了对MIMS,特别是WhatsApp的网络拓学的关键见解.
- 这些发现突出了联系网络和团体成员的独特分布模式.
- 这项研究克服了数据访问的限制,为未来对MIMS网络的研究铺平了道路.
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