Demo Data from SIGIR 2026 / reviewers in the wild / expert
Yang Zhang 0055
dblp:06/6785-55
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2015
0000-0002-1534-010XORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 first-author
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.
| Databases, data mining, and information retrieval
1 paper |
Web and social media mining · 50% Data mining · 50% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational social science and digital humanities · 100% | |
| Theoretical computer science
1 paper |
Mathematical optimization · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data mining › structured data mining › graph mining › network structure analysis
core-periphery structure |
0.2 | 1 | 2015 | Citation Networks and the Emergence of Knowledge Core · IEEE Trans. Knowl. Data Eng. 2015 |
Web and social media mining › social network analysis
network formation |
0.2 | 1 | 2015 | Citation Networks and the Emergence of Knowledge Core · IEEE Trans. Knowl. Data Eng. 2015 |
Mathematical optimization › constrained optimization
network utility maximization |
0.1 | 1 | 2015 | Citation Networks and the Emergence of Knowledge Core · IEEE Trans. Knowl. Data Eng. 2015 |
Methods — techniques the papers use, named apart from their topics
agent-based simulation · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Citation Networks and the Emergence of Knowledge CoreabstractObservations on the citation networks often confirm a core-periphery structure: A clustered group of artifacts possess the core knowledge to the field, which is widely cited by artifacts at periphery. We explain this as an outcome resulted from decentralized knowledge contributions from individuals who maximize their own utilities. Our model sheds insights on how knowledge creation, knowledge citation, and knowledge heterogeneity affect the emergence of knowledge core, in both cases of direct and indirect citations. We find through simulations that the core-periphery architecture of citation networks is robust to generalizations on knowledge heterogeneity and knowledge creativity. By studying the incentive rationale that underlies the growth of citation networks, our research has potential implications on the design and administration of intellectual communities. Yang Zhang 0055, Chi Zhang 0005 |
IEEE Trans. Knowl. Data Eng. | 1 |