Community Level Diffusion Extraction

Summary: Proposes COLD (Community Level Diffusion): a unified model of topics and communities to uncover inter-community influence beyond user diffusion. GraphLab-based parallel inference delivers scalable, accurate diffusion predictions and enables new analysis of community roles by interest. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4957
Venue: SIGMOD
Year: 2015
Pagerank: 4.5435639e-05
Overall Rank: 8,298 | 42.28%
DOI: 10.1145/2723372.2723737

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
11,820	From Community Detection to Community Profiling	2017	VLDB	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
37	Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud	2012	VLDB	0.0007522744
180	Influence Maximization: Near-Optimal Time Complexity Meets Practical Efficiency	2014	SIGMOD	0.00037135181

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