Name
Abstract | ||
|---|---|---|
With the rapid development of social network, the information announced by this platform attracts more and more attention, because of the great harm brought by the false information, researching the false information detection of social network has great significance. This paper presents a model of social network false information detection, which firstly converting the information announced by social network into a three-dimensional vector, then comparing this vector with the three-dimensional vector converted by Internet events and calculating the similarity between social network and Internet, detecting the consistency of social network event and Internet event afterwards, finally gathering statistics and analyzing then we can get the similarity between social network event and Internet event, according to this, we can judge that the social network information is false or not. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-59288-6_65 | Lecture Notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering |
Keywords | Field | DocType |
Social network,Information,Similarity,False,Detection | Data science,Social network,Computer science,Harm,Computer network,Big data,The Internet | Conference |
Volume | ISSN | Citations |
201 | 1867-8211 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yi Xu | 1 | 1757 | 177.61 |
| Furong Li | 2 | 18 | 8.16 |
| jianyi liu | 3 | 13 | 2.59 |
| Ru Zhang | 4 | 73 | 23.30 |
| Yuangang Yao | 5 | 3 | 3.43 |
| Dongfang Zhang | 6 | 0 | 0.34 |