%0 Journal Article %1 Barabasi1999Emergence %A Barabási, Albert-László %A Albert, Réka %D 1999 %I American Association for the Advancement of Science %J Science %K network\_growth, scaling er-networks %N 5439 %P 509--512 %R 10.1126/science.286.5439.509 %T Emergence of Scaling in Random Networks %U http://dx.doi.org/10.1126/science.286.5439.509 %V 286 %X Systems as diverse as genetic networks or the World Wide Web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a scale-free power-law distribution. This feature was found to be a consequence of two generic mechanisms: (i) networks expand continuously by the addition of new vertices, and (ii) new vertices attach preferentially to sites that are already well connected. A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.

@article{Barabasi1999Emergence, abstract = {{Systems as diverse as genetic networks or the World Wide Web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a scale-free power-law distribution. This feature was found to be a consequence of two generic mechanisms: (i) networks expand continuously by the addition of new vertices, and (ii) new vertices attach preferentially to sites that are already well connected. A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.}}, added-at = {2019-06-10T14:53:09.000+0200}, author = {Barab\'{a}si, Albert-L\'{a}szl\'{o} and Albert, R\'{e}ka}, biburl = {https://www.bibsonomy.org/bibtex/2cd72a4b9b18025fd856f94e830530e50/nonancourt}, citeulike-article-id = {90558}, citeulike-linkout-0 = {http://dx.doi.org/10.1126/science.286.5439.509}, citeulike-linkout-1 = {http://www.sciencemag.org/content/286/5439/509.abstract}, citeulike-linkout-2 = {http://www.sciencemag.org/content/286/5439/509.full.pdf}, citeulike-linkout-3 = {http://www.sciencemag.org/cgi/content/abstract/286/5439/509}, citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/10521342}, citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=10521342}, citeulike-linkout-6 = {http://www.sciencemag.org/cgi/content/full/286/5439/509}, day = 15, doi = {10.1126/science.286.5439.509}, interhash = {89d3f086051d18093558698788063dfe}, intrahash = {cd72a4b9b18025fd856f94e830530e50}, issn = {1095-9203}, journal = {Science}, keywords = {network\_growth, scaling er-networks}, month = oct, number = 5439, pages = {509--512}, pmid = {10521342}, posted-at = {2010-03-25 18:51:03}, priority = {2}, publisher = {American Association for the Advancement of Science}, timestamp = {2019-08-01T16:10:11.000+0200}, title = {{Emergence of Scaling in Random Networks}}, url = {http://dx.doi.org/10.1126/science.286.5439.509}, volume = 286, year = 1999 }