Name
Abstract | ||
|---|---|---|
Retweeting ensures the information diffusion in micro-blog services. By this simple way, it is convenient for a user to share and spread interesting information in the whole network. In this paper, we consider many features to compute the probability that a user retweets a tweet. With the probability, we build a retweet model to predict the number of possible-views of a tweet. The model is based on the theory of random walks. Experiments conducted on real dataset show that the proposed method has a good performance than the traditional prediction methods. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-35063-4_60 | WISE |
Keywords | Field | DocType |
weibo social network,random walk,whole network,retweet behavior,good performance,information diffusion,micro-blog service,traditional prediction method,retweet model,real dataset show,interesting information,social network,random walks | Data mining,Social network,Random walk,Computer science,Artificial intelligence,Machine learning | Conference |
Citations | PageRank | References |
4 | 0.49 | 4 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongbo Zhang | 1 | 14 | 5.68 |
| Qun Zhao | 2 | 4 | 0.49 |
| Hongyan Liu | 3 | 517 | 46.49 |
| Ke xiao | 4 | 4 | 0.49 |
| Jun He | 5 | 230 | 19.86 |
| Xiaoyong Du | 6 | 882 | 123.29 |
| Hong Chen | 7 | 359 | 38.55 |