图 书 馆
预测面对面接触的新见解和方法New Insights and Methods for Predicting Face-To-Face Contacts |
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| 课程网址: | https://videolectures.net/videos/icwsm2013_scholz_new_insights |
| 主讲教师: | Christoph Scholz |
| 开课单位: | 信息不详。欢迎您在右侧留言补充。 |
| 开课时间: | 2014-04-03 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The prediction of new links in social networks is a challeng- ing task. In this paper, we focus on predicting links in net- works of face-to-face spatial proximity by using information from online social networks, such as co-authorship networks in DBLP, and a number of node level attributes. First, we analyze influence factors for the link prediction task. Then, we propose a novel method that combines information from different networks and node level attributes for the pre- diction task: We introduce an unsupervised link prediction method based on rooted random walks, and show that it out- performs state-of-the-art unsupervised link prediction meth- ods. We present an evaluation using three real-world datasets. Furthermore, we discuss the impact of our results and of the insights we glean in the field of link prediction and human contact behavior. |
| 关 键 词: | 社交网络; 空间邻近网络; 数据集 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2025-04-24：yuhongrui |
| 最后编审: | 2025-04-24：yuhongrui |
| 阅读次数: | 2 |