On 8/26/2014 6:16 AM, lavanya addepalli wrote:
How can i generate a random data that is identical to my realworld data
I presume you mean same statistical properties. https://en.wikipedia.org/wiki/Small-world_network explains the difference between random networks and many real sw networks.
i am supposed to refer the attached paper
By Watts and Strogatz https://en.wikipedia.org/wiki/Watts_and_Strogatz_Model gives a compact description of their algorithm, without proofs.
Real Data node pairs and the time they spend together connected
Your real data should have connect and disconnect (start and stop) times. The data below could represent a decay situation where all connections exist at time 0 and the time represents how long they last before breaking. Or a much different growth situation where there are initially no connections and they slowly accumulate. Or some sort of steady situation.
node node time in seconds 4391 2814 16.0 4945 3545 386.0 5045 4921 63078.0
etc. The small-world-network concept is a static, or perhaps snapshot concept. Modeling link changes in a way that maintains the statistical properties is a harder problem.
-- Terry Jan Reedy -- https://mail.python.org/mailman/listinfo/python-list
