| 发明名称 |
SYSTEMS AND METHODS FOR PREDICTING MEME VIRALITY BASED ON NETWORK STRUCTURE |
| 摘要 |
Systems and methods for predicting virality of a content item are disclosed. A method includes: receiving a social network structure; identifying communities within the social network structure, where communities are identified as dense subnetworks in the social network structure; receiving social network content that includes one or more content items; and identifying one or more content items that are predicted to become viral based on utilization of the content items between different communities in the social network structure. |
| 申请公布号 |
US2016042284(A1) |
申请公布日期 |
2016.02.11 |
| 申请号 |
US201414775403 |
申请日期 |
2014.03.12 |
| 申请人 |
INDIANA UNIVERSITY RESEARCH AND TECHNOLOGY CORPORATION |
发明人 |
MENCZER Filippo;WENG Lilian;AHN, Jr. Yong Yeol |
| 分类号 |
G06N5/04 |
主分类号 |
G06N5/04 |
| 代理机构 |
|
代理人 |
|
| 主权项 |
1. A method for predicting virality of a content item, the method comprising:
receiving a social network structure; identifying communities within the social network structure, wherein communities are identified as dense subnetworks in the social network structure; receiving social network content that includes one or more content items; and identifying one or more content items that are predicted to become viral based on utilization of the content items between different communities in the social network structure. |
| 地址 |
Indianapolis IN US |
