Construction of Directed 2K Graphs
March 21, 2017 Β· Declared Dead Β· π Knowledge Discovery and Data Mining
"No code URL or promise found in abstract"
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Authors
BΓ‘lint Tillman, Athina Markopoulou, Carter T. Butts, Minas Gjoka
arXiv ID
1703.07340
Category
cs.SI: Social & Info Networks
Cross-listed
cs.DS
Citations
4
Venue
Knowledge Discovery and Data Mining
Last Checked
4 months ago
Abstract
We study the problem of constructing synthetic graphs that resemble real-world directed graphs in terms of their degree correlations. We define the problem of directed 2K construction (D2K) that takes as input the directed degree sequence (DDS) and a joint degree and attribute matrix (JDAM) so as to capture degree correlation specifically in directed graphs. We provide necessary and sufficient conditions to decide whether a target D2K is realizable, and we design an efficient algorithm that creates realizations with that target D2K. We evaluate our algorithm in creating synthetic graphs that target real-world directed graphs (such as Twitter) and we show that it brings significant benefits compared to state-of-the-art approaches.
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