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预测社交网络中用户之间的信任关系
Predicting Trust Relations Among Users in a Social Network: The Role of Influence, Cohesion and Valence |
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| 课程网址: |
https://videolectures.net/videos/kdd2016_vedula_trust_relations
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| 主讲教师: |
Nikhita Vedula
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| 开课单位: |
KDD 2016研讨会
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| 开课时间: |
2025-02-04
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| 课程语种: |
英语
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| 中文简介: |
信任是社交网络中的一个关键概念，反映了众多参与者和在线数据的可信度和可靠性。然而，大多数此类网络缺乏明确的信任反馈。这促使一种机制自动预测和管理信任关系。我们以无监督的方式从推特衍生的社交网络中提取用户对之间的本地信任关系。我们考虑了用户之间可测量的影响因素、网络中用户结构拓扑的影响以及与网络成员共享的基于语言的信息相关的效价（情感）。我们根据社交媒体数据和非社交媒体数据集的基本事实指标来评估我们的用户信任排名，并分析包含效价如何为我们的信任模型提供稳健性和稳定性。了解社交网络中值得信赖的公民对于准确评估他们通过社交媒体提供的信息的可信度非常有利，以便在灾难或灾难性事件期间进行应急响应和恢复工作。
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| 课程简介: |
Trust is a key concept in social networks, reflecting credibility and reliability for a multitude of participants and online data. Nevertheless, the majority of such networks lack explicit trust feedback. This motivates a mechanism to predict and manage trust relations automatically. We extract in an unsupervised manner local trust relationships between pairs of users from social networks derived from Twitter. We take into account factors of measurable influence between users, the impact of the structural topology of users in the network and the valence (sentiment) associated with the languagebased information shared by network members. We evaluate our user trust rankings over other members of the network against a metric of ground truth for both social media data and a non-social media dataset, and analyze how the inclusion of valence lends robustness and stability to our model of trust. Knowledge of trustworthy citizens in social networks is quite advantageous in accurately assessing the credibility of the information they provide via social media, for the purpose of emergency response and recovery efforts during a disaster or a catastrophic event.
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| 关 键 词: |
社交网络; 信任关系; 影响力; 凝聚力; 价值观
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| 课程来源: |
视频讲座网
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| 数据采集: |
2025-03-11：liyq
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| 最后编审: |
2025-03-11：liyq
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| 阅读次数: |
6
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