Demo Data from EDBT 2026 / reviewers in the wild / expert
Rainer Hegselmann
dblp:72/2867
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 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.
| Artificial intelligence
1 paper |
Multi-agent systems · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational social science and digital humanities · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Multi-agent systems
opinion dynamics |
0.5 | 1 | 2021 | Mis- and disinformation in a bounded confidence model · Artif. Intell. 2021 |
Computational social science and digital humanities › misinformation
misinformation spread |
0.5 | 1 | 2021 | Mis- and disinformation in a bounded confidence model · Artif. Intell. 2021 |
Methods — techniques the papers use, named apart from their topics
bounded-confidence model · 1.0agent-based modeling · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Mis- and disinformation in a bounded confidence model
Igor Douven, Rainer Hegselmann |
Artif. Intell. | 2 |