Realtime Analysis of Information Diffusion in Social Media
Summary: A real-time framework for analyzing information diffusion over massive social graphs, combining structural, sociological, and temporal views. It uniquely evaluates scalable analyses under complete versus partially missing data, quantifying trade-offs between result quality and cost. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Io Taxidou (University of Freiburg)
BibTeX Citation
@article{taxidou_vldb13,
title = {{Realtime Analysis of Information Diffusion in Social Media}},
author = {Taxidou, Io},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {12},
pages = {1416},
doi = {10.14778/2536274.2536328},
url = {https://doi.org/10.14778/2536274.2536328},
year = {2013}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,227 | From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms | 2019 | VLDB | 5.4622609e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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