%0 Book Section %1 statphys23_0410 %A Tseng, S. %A Liang, T. %A To, K. %B Abstract Book of the XXIII IUPAP International Conference on Statistical Physics %C Genova, Italy %D 2007 %E Pietronero, Luciano %E Loreto, Vittorio %E Zapperi, Stefano %K chinese degree distribution medicine network random statphys23 topic-11 %T Chinese medicine prescriptions networks %U http://st23.statphys23.org/webservices/abstract/preview_pop.php?ID_PAPER=410 %X A Chinese medicine prescription consists of a list of herbs and a collection of Chinese medicine prescriptions can be considered as a network with herbs as nodes such that two nodes are connected if they appear simultaneously in at least one prescription. We studied the statistical properties of such network and we found that the degree distribution $P(k)$ is an exponential decay function, i.e., $P(k)e^-k$ where $k$ is the number of edges emerging from a node. On the other hand, in the network using prescriptions as nodes such that two nodes are connected if they contain at least one common herb, a peak was found following the initial decay in the degree distribution. A random network model is constructed to account for the observed degree distribution.

@incollection{statphys23_0410, abstract = {A Chinese medicine prescription consists of a list of herbs and a collection of Chinese medicine prescriptions can be considered as a network with herbs as nodes such that two nodes are connected if they appear simultaneously in at least one prescription. We studied the statistical properties of such network and we found that the degree distribution $P(k)$ is an exponential decay function, i.e., $P(k)\propto e^{-\alpha k}$ where $k$ is the number of edges emerging from a node. On the other hand, in the network using prescriptions as nodes such that two nodes are connected if they contain at least one common herb, a peak was found following the initial decay in the degree distribution. A random network model is constructed to account for the observed degree distribution.}, added-at = {2007-06-20T10:16:09.000+0200}, address = {Genova, Italy}, author = {Tseng, S. and Liang, T. and To, K.}, biburl = {https://www.bibsonomy.org/bibtex/21e6f6cb0f61836a9dc426dbd54840e8d/statphys23}, booktitle = {Abstract Book of the XXIII IUPAP International Conference on Statistical Physics}, editor = {Pietronero, Luciano and Loreto, Vittorio and Zapperi, Stefano}, interhash = {98c7096976184ac6c298220a4d1e1178}, intrahash = {1e6f6cb0f61836a9dc426dbd54840e8d}, keywords = {chinese degree distribution medicine network random statphys23 topic-11}, month = {9-13 July}, timestamp = {2007-06-20T10:16:19.000+0200}, title = {Chinese medicine prescriptions networks}, url = {http://st23.statphys23.org/webservices/abstract/preview_pop.php?ID_PAPER=410}, year = 2007 }