The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
X-Stream: edge-centric graph processing using streaming partitions
Open accessAbstract
X-Stream is a system for processing both in-memory and out-of-core graphs on a single shared-memory machine. While retaining the scatter-gather programming model with state stored in the vertices, X-Stream is novel in (i) using an edge-centric rather than a vertex-centric implementation of this model, and (ii) streaming completely unordered edge lists rather than performing random access. This design is motivated by the fact that sequential bandwidth for all storage media (main memory, SSD, and magnetic disk) is substantially larger than random access bandwidth.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Emergence of Scaling in Random Networks
Barabási, A.-L., & Albert, R. (1999) · Science · doi:10.1126/science.286.5439.509 · Cited by 36,135
(1999) · Cited by 12,854
What is Twitter, a social network or a news media?
Kwak, H., Lee, C., Park, H., & Moon, S. (2010) · Proceedings of the 19th international conference on World wide web · doi:10.1145/1772690.1772751 · Cited by 6,652
Pregel: a system for large-scale graph processing
Malewicz, G., Austern, M. H., Bik, A. J. C., Dehnert, J. C., Horn, I., Leiser, N., & Czajkowski, G. (2010) · Proceedings of the 2010 ACM SIGMOD International Conference on Management of data · doi:10.1145/1807167.1807184 · Cited by 3,515
Biggs, N. (1974) · doi:10.1017/cbo9780511608704 · Cited by 2,940
Graph evolution: Densification and shrinking diameters
Leskovec, J., Kleinberg, J., & Faloutsos, C. (2007) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/1217299.1217301 · Cited by 2,461
PowerGraph: distributed graph-parallel computation on natural graphs
Gonzalez, J. E., Low, Y., Gu, H., Bickson, D., & Guestrin, C. (2012) · doi:10.5555/2387880.2387883 · Cited by 1,451
Data Streams: Algorithms and Applications
Muthukrishnan, S. (2005) · now publishers, Inc. eBooks · doi:10.1561/9781933019604 · Cited by 1,433
The design and implementation of a log-structured file system
Rosenblum, M., & Ousterhout, J. K. (1992) · ACM Transactions on Computer Systems · doi:10.1145/146941.146943 · Cited by 1,268
R-MAT: A Recursive Model for Graph Mining
Chakrabarti, D., Zhan, Y., & Faloutsos, C. (2004) · Proceedings of the 2004 SIAM International Conference on Data Mining · doi:10.1137/1.9781611972740.43 · Cited by 1,255
Cited by
McCune, R. R., Weninger, T., & Madey, G. (2015) · ACM Computing Surveys · doi:10.1145/2818185 · Cited by 294
PARTIES: QoS-Aware Resource Partitioning for Multiple Interactive Services
Chen, S., Delimitrou, C., & Martínez, J. F. (2019) · Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems · doi:10.1145/3297858.3304005 · Cited by 267
Practical Near-Data Processing for In-Memory Analytics Frameworks
Gao, M., Ayers, G., & Kozyrakis, C. (2015) · 2015 International Conference on Parallel Architecture and Compilation (PACT) · doi:10.1109/pact.2015.22 · Cited by 266
Metadata
- Authors
- Roy, A., Mihailovic, I., & Zwaenepoel, W.
- Venue
- Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems Principles
- Publisher
- ACM
- Published
- 2013-11-03
- Pages
- 472-488
- OpenAlex
- W2053076698
- Cited by
- 673
- References
- 33
- FWCI
- 31.57
- Type
- conference paper
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: X-Stream: edge-centric graph processing using streaming partitions. https://app.cochat.ai/papers/10.1145/2517349.2522740
- The paper
- Roy, A., Mihailovic, I., & Zwaenepoel, W. (2013). X-Stream: edge-centric graph processing using streaming partitions. Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems Principles. https://doi.org/10.1145/2517349.2522740
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
