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A Mathematical Theory of Communication
Open accessAbstract
In this final installment of the paper we consider the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now. To a considerable extent the continuous case can be obtained through a limiting process from the discrete case by dividing the continuum of messages and signals into a large but finite number of small regions and calculating the various parameters involved on a discrete basis. As the size of the regions is decreased these parameters in general approach as limits the proper values for the continuous case. There are, however, a few new effects that appear and also a general change of emphasis in the direction of specialization of the general results to particular cases.
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A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
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Hjørland, B. (2015) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23250 · Cited by 47
Lorenz, J., Neumann, M., & Schröder, T. (2021) · Psychological Review · doi:10.1037/rev0000291 · Cited by 48
Kelly-Holmes, H. (2019) · Annual Review of Applied Linguistics · doi:10.1017/s0267190519000102 · Cited by 48
Dammak, F., Baccour, L., & Alimi, A. M. (2015) · 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · doi:10.1109/fuzz-ieee.2015.7338116 · Cited by 51
An Accurate Evaluation of Maurer’s Universal Test
Coron, J. S., & Naccache, D. (1999) · Lecture Notes in Computer Science · doi:10.1007/3-540-48892-8_5 · Cited by 47
Tickler, D. M., Letessier, T. B., Koldewey, H. J., & Meeuwig, J. J. (2017) · PLOS ONE · doi:10.1371/journal.pone.0177374 · Cited by 46
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Yang, H., Peng, C., Cao, Z., & Zhang, X.-M. (2025) · Automatica · doi:10.1016/j.automatica.2025.112120 · Cited by 44
Data-driven reverse engineering of signaling pathways using ensembles of dynamic models
Henriques, D., Villaverde, A. F., Rocha, M., Saez-Rodriguez, J., & Banga, J. R. (2017) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1005379 · Cited by 44
A Probabilistic Model for Information and Sensor Validation
Ibargüengoytia, P. H., Vadera, S., & Sucar, L. E. (2006) · The Computer Journal · doi:10.1093/comjnl/bxh142 · Cited by 43
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A new parallel processing architecture for accelerating image encryption based on chaos
Yavuz, E. (2021) · Journal of Information Security and Applications · doi:10.1016/j.jisa.2021.103056 · Cited by 42
Massey, S. (2015) · Life · doi:10.3390/life5021301 · Cited by 38
Entropy Bounds for Hierarchical Molecular Networks
Dehmer, M., Borgert, S., & Emmert-Streib, F. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003079 · Cited by 40
Informational laws of genome structures
Bonnici, V., & Manca, V. (2016) · Scientific Reports · doi:10.1038/srep28840 · Cited by 38
Contributions of electric fish to the understanding sensory processing by reafferent systems
Caputi, A. A. (2004) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2004.03.002 · Cited by 40
Soatto, S. (2011) · arXiv · doi:10.48550/arxiv.1110.2053 · Cited by 40
Ali, M. R., Sen, T., Kane, B., Bose, S., Carroll, T. M., Epstein, R., Schubert, L., & Hoque, E. (2023) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2021.3054717 · Cited by 40
Influence of social software features on the reuse of Business Intelligence reports
Alpar, P., Engler, T. H., & Schulz, M. (2015) · Information Processing & Management · doi:10.1016/j.ipm.2015.01.004 · Cited by 36
The Physical Meaning of the Holographic Principle
Fields, C., Glazebrook, J. F., & Marcianò, A. (2022) · Quanta · doi:10.12743/quanta.v11i1.206 · Cited by 37
Increased response variability in autistic brains?
Coskun, M. A., Varghese, L., Reddoch, S., Castillo, E. M., Pearson, D. A., Loveland, K. A., Papanicolaou, A. C., & Sheth, B. R. (2009) · Neuroreport · doi:10.1097/wnr.0b013e32833246b5 · Cited by 34
The nomological argument for the existence of God
Hildebrand, T., & Metcalf, T. (2022) · Noûs · doi:10.1111/nous.12364 · Cited by 38
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Contractor, N. S. (1999) · Management Communication Quarterly · doi:10.1177/0893318999131009 · Cited by 34
Dretske, F. (2008) · Philosophy of Information · doi:10.1016/b978-0-444-51726-5.50007-8 · Cited by 33
Top-Down Synthesis for Library Learning
Bowers, M., Olausson, T. X., Wong, L., Grand, G., Tenenbaum, J. B., Ellis, K., & Solar-Lezama, A. (2023) · Proceedings of the ACM on Programming Languages · doi:10.1145/3571234 · Cited by 33
Information theory, predictability and the emergence of complex life
Seoane, L. F., & Solé, R. V. (2018) · Royal Society Open Science · doi:10.1098/rsos.172221 · Cited by 33
Vonkova, H., & Hrabak, J. (2015) · Computers & Education · doi:10.1016/j.compedu.2015.03.003 · Cited by 33
Communication and stability in social collectives
Bradley, R. T., & Pribram, K. H. (1998) · Journal of Social and Evolutionary Systems · doi:10.1016/s1061-7361(99)80005-8 · Cited by 32
Studying the difference between natural and programming language corpora
Casalnuovo, C., Sagae, K., & Devanbu, P. (2019) · Empirical Software Engineering · doi:10.1007/s10664-018-9669-7 · Cited by 33
Millikan's Isomorphism Requirement
Shea, N. (2012) · Millikan and Her Critics · doi:10.1002/9781118328118.ch3 · Cited by 31
Technological complexity and the global dispersal of modern humans
Hoffecker, J. F., & Hoffecker, I. T. (2017) · Evolutionary Anthropology: Issues, News, and Reviews · doi:10.1002/evan.21553 · Cited by 31
Nilashi, M., Abumalloh, R. A., Ahmadi, H., Samad, S., Alrizq, M., Abosaq, H., & Alghamdi, A. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e21828 · Cited by 30
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Stevens, R. H., & Galloway, T. L. (2016) · Social Neuroscience · doi:10.1080/17470919.2015.1056883 · Cited by 29
Ishaq, S. L., Kim, C. J., Reis, D., & Wright, A.-D. G. (2015) · PLoS ONE · doi:10.1371/journal.pone.0144804 · Cited by 29
Frutos-Pascual, M., Zapirain, B., & Zorrilla, A. (2014) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph110100749 · Cited by 27
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Miranskyy, A. V., Davison, M., Reesor, R. M., & Murtaza, S. S. (2012) · Information Sciences · doi:10.1016/j.ins.2012.03.017 · Cited by 27
Generalised local entropy analysis for crack detection in beam-like structures
Yang, Z., Chen, X., Jiang, Y., & He, Z. (2014) · Nondestructive Testing and Evaluation · doi:10.1080/10589759.2014.904312 · Cited by 24
Brodski‐Guerniero, A., Naumer, M. J., Moliadze, V., Chan, J., Althen, H., Ferreira‐Santos, F., Lizier, J. T., Schlitt, S., Kitzerow, J., Schütz, M., et al. (2018) · Human Brain Mapping · doi:10.1002/hbm.24072 · Cited by 23
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(2011) · Cited by 22
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CHAMBERLAIN, M. A. (1994) · American Behavioral Scientist · doi:10.1177/0002764294038002008 · Cited by 21
Kim, I., & Jo, J. H. (2015) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2015.1045241 · Cited by 21
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Razal, C., Pisacane, C., & Miller, L. (2016) · Animal Behavior and Cognition · doi:10.12966/abc.02.02.2016 · Cited by 21
Frank, S. A. (2012) · Journal of Evolutionary Biology · doi:10.1111/jeb.12010 · Cited by 21
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Gendron, M., Mesquita, B., & Barrett, L. F. (2020) · Culture, Mind, and Brain · doi:10.1017/9781108695374.010 · Cited by 20
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Relevance in the Renormalization Group and in Information Theory
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Chen, Q., Ge, J., Xie, H., Xu, X., & Yang, Y. (2025) · China Economic Review · doi:10.1016/j.chieco.2025.102413 · Cited by 17
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Clark, K. B. (2014) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2014.00029 · Cited by 16
Carvalho, P. H. V., Pinto, A. C. J., Millen, D. D., & Felix, T. L. (2020) · Journal of Animal Science · doi:10.1093/jas/skaa114 · Cited by 18
The computational stance in biology.
Wood, C. C. (2019) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2018.0380 · Cited by 14
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Kirchner, U., & Ellis, G. F. R. (2003) · Classical and Quantum Gravity · doi:10.1088/0264-9381/20/6/311 · Cited by 15
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McCluskey, B. M., Liang, Y., Lewis, V. M., Patterson, L. B., & Parichy, D. M. (2021) · Biology Open · doi:10.1242/bio.058814 · Cited by 12
Jatmiko, I., Zedta, R. R., Agustina, M., & Setyadji, B. (2019) · ILMU KELAUTAN: Indonesian Journal of Marine Sciences · doi:10.14710/ik.ijms.24.2.61-68 · Cited by 12
Haverila, M. J., & Haverila, K. C. (2024) · Marketing Intelligence & Planning · doi:10.1108/mip-07-2023-0319 · Cited by 11
Islam, N., & Shin, S. (2023) · Electronics · doi:10.3390/electronics12112425 · Cited by 11
Complexity and Organizational Communication: A Quest for Common Ground
Poutanen, P., Siira, K., & Aula, P. (2016) · Human Resource Development Review · doi:10.1177/1534484316639713 · Cited by 10
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Seepers, R. M., Strydis, C., Sourdis, I., & De Zeeuw, C. I. (2015) · 2015 IEEE Trustcom/BigDataSE/ISPA · doi:10.1109/trustcom.2015.411 · Cited by 10
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Corps, R. E., Gambi, C., & Pickering, M. J. (2020) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037/xlm0000759 · Cited by 10
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Silva-García, V. M., Flores-Carapia, R., Rentería-Márquez, C., Luna-Benoso, B., & Chimal-Eguía, J. C. (2020) · International Journal of Applied Mathematics and Computer Science · doi:10.34768/amcs-2020-0029 · Cited by 9
West, M., Cheng, Y., He, Y., Leng, Y., Magdamo, C., Hyman, B. T., Dickson, J. R., Serrano-Pozo, A., Blacker, D., & Das, S. (2025) · JMIR Aging · doi:10.2196/65178 · Cited by 8
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Silva-Garcia, V. M., Flores-Carapia, R., Gonzalez-Ramirez, M. D., Vega-Alvarado, E., & Villarreal-Cervantes, M. G. (2020) · IEEE Access · doi:10.1109/access.2020.3042475 · Cited by 7
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Harvey, I. (2024) · Artificial Life · doi:10.1162/artl_a_00427 · Cited by 6
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Rowell, H. C., Enache, M. D., Quinlan, R., Smith, A. J., Bloomfield, J. A., Charles, D. F., & Effler, S. W. (2016) · Journal of Paleolimnology · doi:10.1007/s10933-015-9877-8 · Cited by 5
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Wan, H., Zhou, L., Chen, H., Pang, D., You, Z., Wang, C., Wang, Y., & Huang, G. (2025) · Physica Scripta · doi:10.1088/1402-4896/add5a4 · Cited by 3
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Phan, A., Joshi, P., Kadelka, C., & Friedberg, I. (2025) · Database · doi:10.1093/database/baaf036 · Cited by 2
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Fernandez, N., Maldonado, C., & Gershenson, C. (2013) · arXiv · doi:10.48550/arxiv.1304.1842 · Cited by 1
Nonnegative Decomposition of Multivariate Information
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Metadata
- Authors
- Shannon, C. E.
- Venue
- Bell System Technical Journal
- Published
- 1948-10
- Volume
- 27
- Issue
- 4
- Pages
- 623-656
- ISSN
- 0005-8580 (ISSN-L)
- OpenAlex
- W2041404167
- Cited by
- 48,949
- References
- 1
- FWCI
- 35.89
- Type
- journal article
- Language
- en
- Open access
- green
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