Demo Data from EDBT 2026 / reviewers in the wild / expert
Ali Azimi Bolourian
dblp:08/7186
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2009
—ORCID · none
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% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Web and social media mining › social media analysis
blog analysis |
0.1 | 1 | 2009 | SugarCube: quantification of topic propagation in the blogosphere using percolation theory · SIGIR 2009 |
Data mining › network analysis
topic propagation |
0.1 | 1 | 2009 | SugarCube: quantification of topic propagation in the blogosphere using percolation theory · SIGIR 2009 |
Methods — techniques the papers use, named apart from their topics
percolation theory · 0.1graph-theoretic modeling · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | SugarCube: quantification of topic propagation in the blogosphere using percolation theoryabstractBlogs facilitate online debates and discussions for millions of people around the world. Identifying the most popular and prevailing topics discussed in the Blogosphere is a crucial task. This poster describes our novel approach to the quantification of the level of topic propagation in the Blogosphere. Our model uses graph-theoretic representations of the Blogosphere's link structures that allows it to deduce the `Percolation Threshold', which is then used in the quantification and definition of a global topic. The result of our experiments on a blog collection shows that our model is able to quantify the propagation of topics. Moreover, our model is successful in identifying specific topics that propagate throughout the Blogosphere and classifies them as `Global'. Ali Azimi Bolourian, Yashar Moshfeghi, C. J. van Rijsbergen |
SIGIR | 1 |