Back to Search
Start Over
Find spammers by using graph structure
- Source :
- BigComp
- Publication Year :
- 2017
- Publisher :
- IEEE, 2017.
-
Abstract
- In recent years, many social network services have made lots of business models. However, it has big weakness related with personal information spill or attacks from spammers. There are many conventional approaches about spammer detection. Almost the whole studies suggest solutions by using vertex degrees or Local Clustering Coefficient. However, they have been caused false positive results. In other words, many normal vertices can be mistaken for spammers. Therefore, we propose a new approach by using the circuit of graph structure. And then we demonstrate the strengths of our work by employing the experiment results.
- Subjects :
- Theoretical computer science
Computer science
020206 networking & telecommunications
02 engineering and technology
Business model
computer.software_genre
Vertex (geometry)
Spamming
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Data mining
computer
Personally identifiable information
Clustering coefficient
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2017 IEEE International Conference on Big Data and Smart Computing (BigComp)
- Accession number :
- edsair.doi...........86eef9e7adf82bd14330e24b8395ffbc
- Full Text :
- https://doi.org/10.1109/bigcomp.2017.7881677