Kuai Xu
Biographic Data
| ID | 3925433 |
|---|---|
| NAME | Kuai Xu |
| GIVEN NAMES | Kuai |
| FAMILY NAME | Xu |
| SIGNATURE | XU K |
| AFFILIATIONS | Arizona State University |
| ORCID | 0000-0001-6659-6773 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 1 |
Mitigating the Impact of Data Sampling on Social Media Analysis and Mining
The last decade has witnessed the explosive growth of online social media in users and contents. Due to the unprecedented scale and the cascading power of the underlying social networks, social media has created a new paradigm for sharing information, broadcasting breaking news, and reporting real-time events by any user from anywhere at any time. Many popular social media sites including Twitter provide streaming data services by standard APIs t…
Modeling Information Diffusion in Online Social Networks with Partial Differential Equations
Regional Influenza Prediction with Sampling Twitter Data and PDE Model
The large volume of geotagged Twitter streaming data on flu epidemics provides chances for researchers to explore, model, and predict the trends of flu cases in a timely manner. However, the explosive growth of data from social media makes data sampling a natural choice. In this paper, we develop a method for influenza prediction based on the real-time tweet data from social media, and this method ensures real-time prediction and is applicable to…
Positive influence dominating sets in power-law graphs
Positive influence dominating sets in power-law graphs
Mitigating the Impact of Data Sampling on Social Media Analysis and Mining
The last decade has witnessed the explosive growth of online social media in users and contents. Due to the unprecedented scale and the cascading power of the underlying social networks, social media has created a new paradigm for sharing information, broadcasting breaking news, and reporting real-time events by any user from anywhere at any time. Many popular social media sites including Twitter provide streaming data services by standard APIs t…
Modeling Information Diffusion in Online Social Networks with Partial Differential Equations
Regional Influenza Prediction with Sampling Twitter Data and PDE Model
The large volume of geotagged Twitter streaming data on flu epidemics provides chances for researchers to explore, model, and predict the trends of flu cases in a timely manner. However, the explosive growth of data from social media makes data sampling a natural choice. In this paper, we develop a method for influenza prediction based on the real-time tweet data from social media, and this method ensures real-time prediction and is applicable to…
Computer Science (4 works) · Complex Network Analysis Techniques (3 works) · Social media (3 works) · Data mining (2 works) · Mathematics (2 works) · Physics (2 works) · World Wide Web (2 works) · Anomaly Detection Techniques and Applications (1 work) · Caching and Content Delivery (1 work) · Combinatorics (1 work)