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首页> 外文期刊>International journal of interdisciplinary telecommunications and networking >Empirical Analysis of Relationship-based User Reposting Behavior on Microblog Network
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Empirical Analysis of Relationship-based User Reposting Behavior on Microblog Network

机译：基于关系的微博网络用户转发行为的实证分析

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摘要

Microblogs have become a significant online social service for information propagation. Compared with other SNS, a microblog makes use of a flexible unidirectional subscription structure to encourage users to get information from others. In this paper, the authors performed relationship-based large-scale statistics and analyzed long-term reposting behavior. The total number of reposts from a certain followee with a bidirectional or unidirectional relationship is power-law, as well as a reposting interval time. Statistics suggest the curve of bidirectional friends decays slower with a smaller slope, which implies the interactions between bidirectional friends are more stable and intensive. Moreover, reposts from bidirectional friends take approximate 55 percentages, although bidirectional relationships comprise only 33 percent of relationships. Furthermore, the authors investigated the impact of following relationships and found that users focus more on social influence and activity level for unidirectional friends; however, for bidirectional friends, interactions and closeness are more crucial.
机译：微博已成为信息传播的重要在线社交服务。与其他SNS相比，微博利用灵活的单向订阅结构来鼓励用户从他人那里获取信息。在本文中，作者执行了基于关系的大规模统计并分析了长期重新发布行为。具有双向或单向关系的某个特定追随者的转发总数是幂律，以及转发间隔时间。统计数据表明，双向朋友的曲线衰减较慢，斜率较小，这意味着双向朋友之间的交互更稳定，强度更大。此外，尽管双向关系仅占关系的33％，但从双向朋友转发的消息约占55％。此外，作者调查了以下关系的影响，发现用户更多地关注单向朋友的社会影响力和活动水平。但是，对于双向朋友而言，互动和亲密关系更为重要。

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