dc.contributor.author | Venkatasubramanian, V. | en |
dc.contributor.author | Politis, Dimitris Nicolas | en |
dc.contributor.author | Patkar, P. R. | en |
dc.creator | Venkatasubramanian, V. | en |
dc.creator | Politis, Dimitris Nicolas | en |
dc.creator | Patkar, P. R. | en |
dc.date.accessioned | 2019-12-02T10:38:44Z | |
dc.date.available | 2019-12-02T10:38:44Z | |
dc.date.issued | 2006 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/57745 | |
dc.description.abstract | A general holistic theory is presented for the organization of complex networks. The theory proposes that complex networks, both human-engineered and naturally evolved, are organized to meet certain design or survival objective(s) for a wide variety of operating or environmental conditions. Using the concepts of "value" of interactions and "satisfaction" in a network as generic performance measures, we show that the underlying organizing principle is to meet an overall performance target for a wide variety of operating environments as the design objective. This design requirement for reliable performance under maximum uncertainty leads to the emergence of power laws as a consequence of the Maximum Entropy Principle. The theory also predicts the emergence of exponential and Poisson distribution regimes as a function of the redundancy of the network, thus explaining all three regimes as different manifestations of the same underlying phenomenon within a unified theoretical framework. © 2005 American Institute of Chemical Engineers. | en |
dc.source | AIChE Journal | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-33645577759&doi=10.1002%2faic.10693&partnerID=40&md5=b90210dbf9e1fa717e317e774916afcc | |
dc.subject | Poisson distribution | en |
dc.subject | Uncertain systems | en |
dc.subject | Entropy | en |
dc.subject | Complex networks | en |
dc.subject | Large scale systems | en |
dc.subject | Power law | en |
dc.subject | Complex systems | en |
dc.subject | Optimal systems | en |
dc.subject | Human engineering | en |
dc.subject | Degree distribution | en |
dc.subject | Logic design | en |
dc.subject | Maximum Entropy Principle | en |
dc.title | Entropy maximization as a holistic design principle for complex optimal networks | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.1002/aic.10693 | |
dc.description.volume | 52 | |
dc.description.issue | 3 | |
dc.description.startingpage | 1004 | |
dc.description.endingpage | 1009 | |
dc.author.faculty | Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics | |
dc.type.uhtype | Article | en |
dc.description.notes | <p>Cited By :8</p> | en |
dc.source.abbreviation | AIChE J. | en |