http://www.bibsonomy.org/rss/user/andreabBibSonomy RSS Feed for /user/andreabhttp://hal.archives-ouvertes.fr/ccsd-00087235andreab2008-08-05T20:59:44+02:00cooling granular tails gases equation math inelastic boltzman scaling http://dbpubs.stanford.edu:8090/pub/showDoc.Fulltext?lang=en&amp;doc=2007-33&amp;format=pdf&amp;compression=&amp;name=2007-33.pdfandreab2008-07-08T11:51:53+02:00data search delicious stanford tagging statistics folksonomy http://www.villaada.org/andreab2008-06-20T18:35:32+02:00program roma concert show music italy ethnic http://www.zotero.org/andreab2008-03-24T23:57:54+01:00tool tagging bibliography reference research software firefox extension http://www.nature.com/nature/journal/v401/n6748/abs/401039a0.htmlandreab2007-10-18T12:24:03+02:00nature geomorphology earth topography geophysics paper Nature 395, 269-272 (17 September 1998) | doi:10.1038/26212; Received 30 March 1998; Accepted 25 June 1998 Dynamic topography, plate driving forces and the African superswell Carolina Lithgow-Bertelloni1,2 and Paul G. Silver1http://www.nature.com/nature/journal/v395/n6699/abs/395269a0.htmlandreab2007-10-18T12:19:31+02:00paper geophysics geomorphology topography nature Nature 395, 269-272 (17 September 1998) | doi:10.1038/26212; Received 30 March 1998; Accepted 25 June 1998 Dynamic topography, plate driving forces and th<span class="info">...<span>Nature 395, 269-272 (17 September 1998) | doi:10.1038/26212; Received 30 March 1998; Accepted 25 June 1998 Dynamic topography, plate driving forces and the African superswell Carolina Lithgow-Bertelloni1,2 and Paul G. Silver1</span></span>http://www.flickriver.com/andreab2007-10-17T03:46:43+02:00gallery flickr tool frontend photography http://it.arxiv.org/abs/0705.2688andreab2007-05-22T20:24:11+02:00temperature myown physics einstein puglisi cond-mat vulpiani 2007 granular fdt correlations Zipf&#039;s Law and Miller&#039;s Random-Monkey Model JSTOR: The American Journal of Psychology: Vol. 81, No. 2 (Jun., 1968), pp. 269-272http://links.jstor.org/sici?sici=0002-9556%28196806%2981%3A2%3C269%3AZLAMRM%3E2.0.CO%3B2-F&amp;size=LARGE&amp;origin=JSTOR-enlargePageandreab2007-05-06T16:29:43+02:00ditribution psychology typing mandelbrot monkey d4.1 tagora frequency comment word zipf Zipf&#039;s Law and Miller&#039;s Random-Monkey Model JSTOR: The American Journal of Psychology: Vol. 81, No. 2 (Jun., 1968), pp. 269-272http://promo.net/pg/andreab2007-05-04T18:07:45+02:00reference tagora d4.1 etext research english online literature free List of publicationshttp://complex.ffn.ub.es/~ramon/publications_by_year.htmlandreab2007-05-03T18:37:51+02:00publications mandelbrot list d4.1 tagora Ramon zipf List of publicationshttps://gforge.cs.uni-kassel.de/andreab2007-05-03T13:05:18+02:00bibsonomy tagora gforge project kassel tools cvs Nature 179, 595 (16 March 1957); doi:10.1038/179595a0 Distribution of Word Frequencies I. J. GOOD 25 Scott House, Princess Elizabeth Way, Cheltenham. THE purpose of this communication is to explain, in terms of the theory of information, the implications of the Zipf distribution of word frequencies1. The distribution is formally identical with the Pareto income and Willis taxonomic distributions, but the present discussion is restricted to word frequencies. The discussion resembles that of Mandelbrot2 but is simpler. The discussion by Parker-Rhodes and Joyce3 also resembles Mandelbrot&#039;s, but is fallacious.http://www.nature.com/nature/journal/v179/n4559/abs/179595a0.htmlandreab2007-05-02T16:13:22+02:00mandelbrot zipf word nature distribution d4.1 tagora frequencies Nature 179, 595 (16 March 1957); doi:10.1038/179595a0 Distribution of Word Frequencies I. J. GOOD 25 Scott House, Princess Elizabeth Way, Cheltenh<span class="info">...<span>Nature 179, 595 (16 March 1957); doi:10.1038/179595a0 Distribution of Word Frequencies I. J. GOOD 25 Scott House, Princess Elizabeth Way, Cheltenham. THE purpose of this communication is to explain, in terms of the theory of information, the implications of the Zipf distribution of word frequencies1. The distribution is formally identical with the Pareto income and Willis taxonomic distributions, but the present discussion is restricted to word frequencies. The discussion resembles that of Mandelbrot2 but is simpler. The discussion by Parker-Rhodes and Joyce3 also resembles Mandelbrot&#039;s, but is fallacious.</span></span>Letters to Nature Nature 178, 1308 (08 December 1956); doi:10.1038/1781308a0 A Theory of Word-Frequency Distribution A. F. PARKER-RHODES &amp; T. JOYCE Cambridge Language Research Unit, 20 Millington Road, Cambridge. THE object of this communication is to show that a certain remarkably simple experimental relation governing word-frequencies in language can be explained by a simple model of the process of searching for information, about each word heard or read, in the memory of words employed in the language faculty.http://www.nature.com/nature/journal/v178/n4545/abs/1781308a0.htmlandreab2007-05-02T16:11:30+02:00d4.1 nature tagora frequency zipf mandelbrot distribution word Letters to Nature Nature 178, 1308 (08 December 1956); doi:10.1038/1781308a0 A Theory of Word-Frequency Distribution A. F. PARKER-RHODES &amp; T. JOYCE <span class="info">...<span>Letters to Nature Nature 178, 1308 (08 December 1956); doi:10.1038/1781308a0 A Theory of Word-Frequency Distribution A. F. PARKER-RHODES &amp; T. JOYCE Cambridge Language Research Unit, 20 Millington Road, Cambridge. THE object of this communication is to show that a certain remarkably simple experimental relation governing word-frequencies in language can be explained by a simple model of the process of searching for information, about each word heard or read, in the memory of words employed in the language faculty.</span></span>Cover, T. King, R. Abstract In his original paper on the subject, Shannon found upper and lower bounds for the entropy of printed English based on the number of trials required for a subject to guess subsequent symbols in a given text. The guessing approach precludes asymptotic consistency of either the upper or lower bounds except for degenerate ergodic processes. Shannon&#039;s technique of guessing the next symbol is altered by having the subject place sequential bets on the next symbol of text.....http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1055912andreab2007-05-02T15:35:15+02:00word mandelbrot tagora zipf frequency distribution d4.1 Cover, T. King, R. Abstract In his original paper on the subject, Shannon found upper and lower bounds for the entropy of printed English based on<span class="info">...<span>Cover, T. King, R. Abstract In his original paper on the subject, Shannon found upper and lower bounds for the entropy of printed English based on the number of trials required for a subject to guess subsequent symbols in a given text. The guessing approach precludes asymptotic consistency of either the upper or lower bounds except for degenerate ergodic processes. Shannon&#039;s technique of guessing the next symbol is altered by having the subject place sequential bets on the next symbol of text.....</span></span>Bibliography on Zipf&#039;s lawhttp://www.nslij-genetics.org/wli/zipf/index.htmlandreab2007-04-30T15:42:50+02:00word d4.1 power linguistics frequency lingua zipf law tagora distribution statistics information Bibliography on Zipf&#039;s lawhttp://www.pnas.org/cgi/content/abstract/100/3/788?ijkey=5e654a4a7f490e8b00613a051d35e46e64bbfe13&amp;keytype2=tf_ipsecshaandreab2007-04-28T16:21:43+02:00ramon word pnas frequency d4.1 tagora distribution zipf Damián Zanette Marcelo Montemurro Abstract We investigate the origin of Zipf&#039;s law for words in written texts by means of a stochastic dynamic model for text generation. The model incorporates both features related to the general structure of languages and memory effects inherent to the production of long coherent messages in the communication process. It is shown that the multiplicative dynamics of our model lead to rank-frequency distributions in quantitative agreement with empirical data. Our results give support to the linguistic relevance of Zipf&#039;s law in human language.http://www.informaworld.com/smpp/content~content=a725292880~db=allandreab2007-04-28T16:13:24+02:002005 zipf distribution d4.1 word tagora mandelbrot frequency Damián Zanette Marcelo Montemurro Abstract We investigate the origin of Zipf&#039;s law for words in written texts by means of a stochastic dynamic model fo<span class="info">...<span>Damián Zanette Marcelo Montemurro Abstract We investigate the origin of Zipf&#039;s law for words in written texts by means of a stochastic dynamic model for text generation. The model incorporates both features related to the general structure of languages and memory effects inherent to the production of long coherent messages in the communication process. It is shown that the multiplicative dynamics of our model lead to rank-frequency distributions in quantitative agreement with empirical data. Our results give support to the linguistic relevance of Zipf&#039;s law in human language.</span></span>Abstracts of contentshttp://www.ram-verlag.de/g4inh.htmandreab2007-04-28T16:07:48+02:00frequency distribution word zipf glottometrics d4.1 review mandelbrot tagora Abstracts of contentsLe Quan Ha Queen&#039;s University of Belfast, Belfast, Northern Ireland E. I. Sicilia-Garcia Ji Ming F. J. Smith Zipf&#039;s law states that the frequency of word tokens in a large corpus of natural language is inversely proportional to the rank. The law is investigated for two languages English and Mandarin and for n-gram word phrases as well as for single words. The law for single words is shown to be valid only for high frequency words. However, when single word and n-gram phrases are combined together in one list and put in order of frequency the combined list follows Zipf&#039;s law accurately for all words and phrases, down to the lowest frequencies in both languages. The Zipf curves for the two languages are then almost identical.http://portal.acm.org/citation.cfm?id=1072228.1072345andreab2007-04-28T16:01:51+02:00distribution d4.1 zipf word frequency tagora mandelbrot Le Quan Ha Queen&#039;s University of Belfast, Belfast, Northern Ireland E. I. Sicilia-Garcia Ji Ming F. J. Smith Zipf&#039;s law states that the frequency <span class="info">...<span>Le Quan Ha Queen&#039;s University of Belfast, Belfast, Northern Ireland E. I. Sicilia-Garcia Ji Ming F. J. Smith Zipf&#039;s law states that the frequency of word tokens in a large corpus of natural language is inversely proportional to the rank. The law is investigated for two languages English and Mandarin and for n-gram word phrases as well as for single words. The law for single words is shown to be valid only for high frequency words. However, when single word and n-gram phrases are combined together in one list and put in order of frequency the combined list follows Zipf&#039;s law accurately for all words and phrases, down to the lowest frequencies in both languages. The Zipf curves for the two languages are then almost identical.</span></span>