Abstrakti
We propose a new measure that quantifies the communication capabilities of networks. More precisely, in this paper we show that the well known channel capacity of a memoryless channel, introduced in information theory, can be defined for arbitrary directed networks. We argue that this new measure, which we call network channel capacity, might be useful for characterizing and classifying communication networks. As first examples we present results for random networks and discuss practical implications.
Alkuperäiskieli | Englanti |
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Otsikko | Proc. - 2008 1st International Conference on Complexity and Intelligence of the Artificial and Natural Complex Systems. Medical Applications of the Complex Systems. Biomedical Computing, CANS 2008 |
Sivut | 94-99 |
Sivumäärä | 6 |
DOI - pysyväislinkit | |
Tila | Julkaistu - 2008 |
Julkaistu ulkoisesti | Kyllä |
OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisussa |
Tapahtuma | 2008 1st International Conference on Complexity and Intelligence of the Artificial and Natural Complex Systems. Medical Applications of the Complex Systems. Biomedical Computing, CANS 2008 - Targu Mures, Mures, Suomi Kesto: 8 marrask. 2008 → 10 marrask. 2008 |
Conference
Conference | 2008 1st International Conference on Complexity and Intelligence of the Artificial and Natural Complex Systems. Medical Applications of the Complex Systems. Biomedical Computing, CANS 2008 |
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Maa/Alue | Suomi |
Kaupunki | Targu Mures, Mures |
Ajanjakso | 8/11/08 → 10/11/08 |
!!ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Biomedical Engineering