search for: sample_smallworld

...ee of clustering (as measured by the transitivity function in igraph) and (b) a reasonable degree of degree polarization (as measured by the average degree of the top 10% nodes with highest degree divided by the overall average degree). Right now I am using two functions from irgaph (sample_pa and sample_smallworld) but these are not ideal since they only allow me to vary one of the two characteristics. Either the network has good clustering but not enough polarization or the other way round. I looked around and I found some network algorithms that solve the problem (E.g., Jackson and Rogers, Meeting Strange...

...sw.pdf) (3) Petter Holme and Beom Jun Kim - "Growing Scale-Free Networks with Tunable Clustering" (http://arxiv.org/pdf/cond-mat/0110452.pdf) I am looking for three functions (e.g., sample_dekker, sample_klemm, sample_holme) that generate an output similar to the functions sample_pa and sample_smallworld in the R package igraph. The input should be the number of nodes in the network (e.g., 1000) and any other parameters those models require. In case this is of relevance to one of you, please write me a brief email with an approximate cost estimate for this programming job. I would love to have thi...

...sw.pdf) (3) Petter Holme and Beom Jun Kim - "Growing Scale-Free Networks with Tunable Clustering" (http://arxiv.org/pdf/cond-mat/0110452.pdf) I am looking for three functions (e.g., sample_dekker, sample_klemm, sample_holme) that generate an output similar to the functions sample_pa and sample_smallworld in the R package igraph. The input should be the number of nodes in the network (e.g., 1000) and any other parameters those models require. In case this is of relevance please get in touch with me by email to discuss further details. Thanks, Michael Michael Haenlein Professor of Marketing ESC...