图 书 馆
预测在线社交网络正负链接Predicting Positive and Negative Links in Online Social Networks |
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| 课程网址: | http://videolectures.net/www2010_leskovec_ppn/ |
| 主讲教师: | Jure Leskovec |
| 开课单位: | 斯坦福大学 |
| 开课时间: | 2010-05-17 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We study online social networks in which relationships can be both positive (indicating friendship) and negative (indicating opposition or antagonism). Such a mix of positive and negative links arise in a variety of online settings; we study datasets from Epinions, Slashdot and Wikipedia. Despite the diversity of settings considered, we find that the signs of links in the underlying social networks can be predicted with high accuracy using models that generalize across the different domains. These models provide insight into some of the fundamental principles that drive the formation of signed links in networks, and also shed light on theories of balance and status from social psychology. |
| 关 键 词: | 计算机科学; 网络分析; 社交网络 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-12：yumf |
| 阅读次数: | 59 |