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• Number of Collaborations
  ...he logarithmic scales used. However, these data are well fitted by a power-law form with an exponential cutoff: <math>P(z)\approx z^{-t}e^{-\frac{z}{z_c}}
  703 bytes (126 words) - 01:04, 7 February 2011
• Cascading Behavior in Large Blog Graphs
  ...of posts, which is measures by number of citing posts, drops with a power law of number of days after the post * The blog network follows power law distribution, and so does the post network
  3 KB (461 words) - 22:30, 5 November 2012
• Albert Barabasi Topology of Evolving Networks: Local Events and Universality 2000
  ...rks can emerge with the connectivity distribution either following a power law or exponential kind of distribution. ...tinuum theory which predicts these two regimes (e.g. exponential and power law) as well as the scaling function and the exponents, in good agreement with
  3 KB (516 words) - 20:34, 30 March 2011
• Seshadri et at KDD'08
  Mobile call graphs: beyond power-law and lognormal distributions. This is a [[paper]] about model fitting. The authors found that [[power law]], which is widely used in the society of social media analysis, sometimes
  2 KB (327 words) - 20:17, 4 February 2011
• Scale-free networks
  ...ale-free network''' is a network whose degree distribution follows a power law, at least asymptotically. That is, the fraction ''P''(''k'') of nodes in t
  729 bytes (110 words) - 00:20, 4 April 2011
• Emergence of scaling in random networks
  ...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 mec
  961 bytes (138 words) - 06:15, 4 February 2011
• Newman, PNAS, 2001
  ...ollaborators of scientists and the numbers of papers are well fit by power-law forms with an exponential cutoff. This cutoff may be caused by the finite t ...own as the solid lines in Fig. 2. The exponent <math>t</math> of the power-law distribution is interesting. We note that in all of the ‘‘hard sciences
  7 KB (1,075 words) - 23:30, 4 February 2011
• Newman, PNAS, 2001.
  ...ollaborators of scientists and the numbers of papers are well fit by power-law forms with an exponential cutoff. This cutoff may be caused by the finite t ...own as the solid lines in Fig. 2. The exponent <math>t</math> of the power-law distribution is interesting. We note that in all of the ‘‘hard sciences
  7 KB (1,074 words) - 01:03, 7 February 2011
• TED.com
  ...s diverse and cater broad range of audience, but there is a natural power law, in terms of popularity of a particular class of talks.
  1 KB (177 words) - 19:53, 15 September 2012
• Cosley, D., D. Huttenlocher, J. Kleinberg, X. Lan, and S. Suri. 2010. Sequential Influence Models in Social Networks.
  3. A power law is a good approximation for estimating the number of user/community pairs w * The power law distribution and its unique properties.
  3 KB (412 words) - 02:53, 4 October 2012
• Cosley et al 2010
  3. A power law is a good approximation for estimating the number of user/community pairs w * The power law distribution and its unique properties.
  3 KB (412 words) - 01:30, 4 October 2012
• Leskovec et. al., ACM Conference on Electronic Commerce (EC), 2006.
  ...thod::influence propagation]] and show that the cascade sizes follow power law distributions, with usually large exponents. This shows that many recommend ...a simple propagation model which is shown to generate [[UsesMethod::power law fitting]]s to cascade sizes.
  3 KB (472 words) - 18:20, 1 February 2011
• Florencia Reali and Thomas L. Griffiths, Words as alleles: connecting language evolution with Bayesian learners to models of genetic drift, Proceedings of The Royal Society of London. Series B, Biological Sciences 2010
  ...tic variants. Learning is modeled with learners using [[UsesMethod::Bayes' Law]] to estimate probability distribution over the set of variants. ...f <math>\theta</math>, <math>P(\theta|x)</math> using [[UsesMethod::Bayes' Law]]:
  9 KB (1,329 words) - 13:01, 31 March 2011
• Leman Akoglu et al KDD'10
  ...tend to connect to other high-degree nodes; node strength grows in a power law manner comparing to the node degree. Moreover, node strength increases as t
  2 KB (306 words) - 23:17, 15 February 2011
• Community structure in social and biological networks
  ...s that seem to be common to many networks: the small-world property, power-law degree distributions, and network transitivity. In this article, we highlig ...ed systematically, e.g., ''small world effect'', ''long tail effect (power law)'', '' ''network transitivity'', etc, where the authors are trying to captu
  6 KB (875 words) - 00:11, 19 December 2012
• Inferring Social Ties From Geographic Coincidences
  ...The choice of location itself is made randomly. Using [[UsesMethod::Bayes' Law]], the probability of friendship between two people ''F'' given that they v ...ut peaked around the home cell and decays with distance according to power law distribution (with exponent &gamma;). Each day, a person independently deci
  10 KB (1,588 words) - 22:49, 26 March 2011
• Agarwal et al, ICWSM 2009
  ...g two datasets, which display social network characteristics such as power law degree distribution and small world properties.
  4 KB (592 words) - 11:22, 23 March 2011
• Dan Cosley, AAAI, 2010
  ...counts relatively well for the data over a large range, suggesting a power law is a reasonable approximation for each of these quantities. This is not sur
  4 KB (715 words) - 18:11, 4 April 2011
• Cha, M., A. Mislove, and K. P Gummadi. 2009. A measurement-driven analysis of information propagation in the Flickr social network
  Given the structure of the Flickr social network that obeys power law distribution and small world network structure, the findings in this paper
  5 KB (742 words) - 22:42, 26 March 2011
• Girvan et al PNAS 2002
  .../en.wikipedia.org/wiki/Power_law#Power-law_probability_distributions power-law degree distributions] - many vertices in a network with low degree and a sm
  5 KB (818 words) - 09:25, 27 September 2012

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