Graph structure in the Web
Integrity signals
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the Web, the power-law exponents are believed to satisfy α = 1.1 for the in-degree and PageRank, and α ≈ 2 for the out-degree.
“In the Web, the power law exponents can deviate depending on a data set and an estimator, but are believed to satisfy α = 1 . 1 for the in-degree and PageRank, and α ≈ 2 for the out-degree [9], [32], [38].”
From Asymptotic analysis for personalized Web search (2010) · cites this paper as [9]
Most experimental studies of the Web agree that the in-degree, the out-degree, and the PageRank of the Web follow power laws.
“Most experimental studies of the Web agree that the in-degree, the out-degree, and the PageRank of the Web follow power laws.”
From Asymptotic analysis for personalized Web search (2010) · cites this paper as [9]
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 · see citing works
The anatomy of a large-scale hypertextual Web search engine
Brin, S., & Page, L. (1998) · Computer Networks and ISDN Systems · doi:10.1016/s0169-7552(98)00110-x · Cited by 16,004 · see citing works
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Cited by
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Community structure in social and biological networks
Girvan, M., & Newman, M. E. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.122653799 · Cited by 15,502 · see citing works
Finding and evaluating community structure in networks
Newman, M. E. J., & Girvan, M. (2004) · Physical Review E · doi:10.1103/physreve.69.026113 · Cited by 13,931 · see citing works
Complex networks: structure and dynamics
BOCCALETTI, S., LATORA, V, MORENO, Y., CHAVEZ, M., & HWANG, D. (2006) · Physics Reports · doi:10.1016/j.physrep.2005.10.009 · Cited by 11,010 · see citing works
Defining and identifying communities in networks
Radicchi, F., Castellano, C., Cecconi, F., Loreto, V., & Parisi, D. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0400054101 · Cited by 2,450 · see citing works
Cortical high-density counterstream architectures
Markov, N. T., Ercsey-Ravasz, M., Van Essen, D. C., Knoblauch, K., Toroczkai, Z., & Kennedy, H. (2013) · Science · doi:10.1126/science.1238406 · Cited by 616 · see citing works
Computer‐Assisted Synthetic Planning: The End of the Beginning
Szymkuć, S., Gajewska, E. P., Klucznik, T., Molga, K., Dittwald, P., Startek, M., Bajczyk, M., & Grzybowski, B. A. (2016) · Angewandte Chemie International Edition · doi:10.1002/anie.201506101 · Cited by 611 · see citing works
Maximal planar networks with large clustering coefficient and power-law degree distribution
Zhou, T., Yan, G., & Wang, B.-H. (2005) · Physical Review E · doi:10.1103/physreve.71.046141 · Cited by 265 · see citing works
Search engine coverage bias: evidence and possible causes
Vaughan, L., & Thelwall, M. (2004) · Information Processing & Management · doi:10.1016/s0306-4573(03)00063-3 · Cited by 259 · see citing works
Monte Carlo Methods in PageRank Computation: When One Iteration is Sufficient
Avrachenkov, K., Litvak, N., Nemirovsky, D., & Osipova, N. (2007) · SIAM Journal on Numerical Analysis · doi:10.1137/050643799 · Cited by 250 · see citing works
Dill, S., Kumar, R., Mccurley, K. S., Rajagopalan, S., Sivakumar, D., & Tomkins, A. (2002) · ACM Transactions on Internet Technology · doi:10.1145/572326.572328 · Cited by 197 · see citing works
Self-citationUsing PageRank to Characterize Web Structure
Pandurangan, G., Raghavan, P., & Upfal, E. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-45655-4_36 · Cited by 164 · see citing works
Self-citationOn the origins of hierarchy in complex networks
Corominas-Murtra, B., Goñi, J., Solé, R. V., & Rodríguez-Caso, C. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1300832110 · Cited by 160 · see citing works
CatchSync: catching synchronized behavior in large directed graphs
Jiang, M., Cui, P., Beutel, A., Faloutsos, C., & Yang, S. (2014) · Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/2623330.2623632 · Cited by 151 · see citing works
Rethinking search: making domain experts out of dilettantes
Metzler, D., Tay, Y., Bahri, D., & Najork, M. (2021) · ACM SIGIR Forum · doi:10.1145/3476415.3476428 · Cited by 112 · see citing works
Catching Synchronized Behaviors in Large Networks: A Graph Mining Approach
Jiang, M., Cui, P., Beutel, A., Faloutsos, C., & Yang, S. (2016) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/2746403 · Cited by 88 · see citing works
Discovering Opinion Spammer Groups by Network Footprints
Ye, J., & Akoglu, L. (2015) · Proceedings of the 2015 ACM on Conference on Online Social Networks · doi:10.1145/2817946.2820606 · Cited by 84 · see citing works
Inferring Strange Behavior from Connectivity Pattern in Social Networks
Jiang, M., Cui, P., Beutel, A., Faloutsos, C., & Yang, S. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-06608-0_11 · Cited by 82 · see citing works
Efficient PageRank approximation via graph aggregation
Broder, A. Z., Lempel, R., Maghoul, F., & Pedersen, J. (2006) · Information Retrieval · doi:10.1007/s10791-006-7146-1 · Cited by 72 · see citing works
Self-citationAsymptotic analysis for personalized Web search
Volkovich, Y., & Litvak, N. (2010) · Advances in Applied Probability · doi:10.1239/aap/1275055243 · Cited by 69 · see citing works
Inferring lockstep behavior from connectivity pattern in large graphs
Jiang, M., Cui, P., Beutel, A., Faloutsos, C., & Yang, S. (2016) · Knowledge and Information Systems · doi:10.1007/s10115-015-0883-y · Cited by 43 · see citing works
Traffic in Social Media II: Modeling Bursty Popularity
Ratkiewicz, J., Menczer, F., Fortunato, S., Flammini, A., & Vespignani, A. (2010) · 2010 IEEE Second International Conference on Social Computing · doi:10.1109/socialcom.2010.63 · Cited by 38 · see citing works
Distribution of PageRank Mass Among Principle Components of the Web
Avrachenkov, K., Litvak, N., & Pham, K. S. (2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-77004-6_2 · Cited by 29 · see citing works
Hierarchy in directed random networks
Mones, E. (2013) · Physical Review E · doi:10.1103/physreve.87.022817 · Cited by 16 · see citing works
Investigating Fake and Reliable News Sources Using Complex Networks Analysis
Mazzeo, V., & Rapisarda, A. (2022) · Frontiers in Physics · doi:10.3389/fphy.2022.886544 · Cited by 6 · see citing works
- Authors
- Broder, A., Kumar, R., Maghoul, F., Raghavan, P., Rajagopalan, S., Stata, R., Tomkins, A., & Wiener, J.
- Affiliations
- IBM Research - Almaden (US)
- Corresponding author
- Kumar, Ravi
- Venue
- Computer Networks
- Publisher
- Elsevier BV
- Published
- 2000-06
- Volume
- 33
- Issue
- 1-6
- Pages
- 309-320
- ISSN
- 1389-1286 (ISSN-L)
- OpenAlex
- W2175110005
- Cited by
- 2,810
- References
- 2
- Citations by year
- 2026: 15 · 2025: 36 · 2024: 35 · 2023: 50 · 2022: 31 · 2021: 82 · 2020: 87 · 2019: 85 · 2018: 106 · 2017: 97 · 2016: 119 · 2015: 109 · 2014: 137 · 2013: 169 · 2012: 154
- FWCI
- 63.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computer Networks (publishedVersion)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Physical Sciences › Computer Science › Information Systems › Web Data Mining and Analysis
- Physical Sciences › Computer Science › Information Systems › Web visibility and informetrics
- Keywords
- World Wide Web, web graph, graph structure, web crawling, web search, community detection, web evolution, AltaVista
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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.
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