Abstract:
Directed scale free network is a network which exists in WWW (World Wide Web), phone call,
E.Coli. metabolism, etc. There are many network measures which are used to apply on directed
scale free network but it is not known how much they are statistical dependent or correlated
with each other. In our research, we selected 12 popular social network measures which were
applied on 48,945 directed scale free network graphs (almost all types of directed scale free
network) which are generated by “Bela Bollobas, Christian Borgsy, Jennifer Chayesz, Oliver
Riordanx’s directed scale free graph” algorithm [1] and found out how much correlated these
12 social network measures with each other by using PEARSON CORRELATION. Then we found
out which is better for computation time among correlated measures .We found out 9
measures are highly correlated among 12 measures. Our Core_i7 processor computer needed
more than 112 hours ( 4 days 16 hours) to find out highly correlated measures for directed
scale free network .
Description:
This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh