Demo Data from EDBT 2026 / reviewers in the wild / expert
Xiao-Jie Li
dblp:200/1085
· DBLP profile ↗
2ranked-venue papers
2as first author
1since 2021 · last 2022
0000-0003-3497-0593ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 2 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational social science and digital humanities · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational social science and digital humanities
information dissemination |
0.6 | 1 | 2022 | The impact of information dissemination on vaccination in multiplex networks · Sci. China Inf. Sci. 2022 |
Methods — techniques the papers use, named apart from their topics
multiplex network analysis · 0.6epidemic modeling · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | The impact of information dissemination on vaccination in multiplex networks
Xiao-Jie Li, Cong Li 0009, Xiang Li 0010 |
Sci. China Inf. Sci. | 1 |
| 2020 | Perception Effect in Evolutionary Vaccination Game Under Prospect-Theoretic ApproachabstractVaccination is one of the most effective strategies against epidemics. Traditionally, the evolutionary game theory focuses on individual behaviors, rather than psychological cognition behind which reflects individual risk attitude. How does individual perception impact the collective decision and performance of vaccination? To explore this question, we propose an evolutionary vaccination game model by integrating the prospect theory (PT), which accounts for individual subjective perception under uncertainty. In this article, the uncertainty stems from the interactions of individuals in the potential infection process. After analyzing the evolutionary vaccination dynamics, we compare the vaccination equilibrium under the PT and the expected utility theory (EUT) and highlight the role of perceptions on promoting vaccination. In addition, we find that the performance of different perceptions captured by the weighting effect (WE) and the framing effect in epidemic control depends on the vaccination cost. Specifically, both the fraction of infected individuals and the social cost decrease with the decrease of the rationality coefficient under the WE when the vaccination cost is relatively small. The dependence reveals that risk-averse and loss aversion dominate individual vaccination behavior. The numerical simulations verify the effect of perception and the effectiveness of vaccinating the network epidemics. Xiao-Jie Li, Xiang Li 0010 |
IEEE Trans. Comput. Soc. Syst. | 1 |