Probabilistic Partnership Index (PPI) in social network analysis using Kretschmer approach

Nowadays, Twitter has become an effective media to communicate as the increasing number of its user. The interaction or relation formed in Twitter could be represented into a graph and calculated using centrality measurement method. Centrality measurement can be used as parameter to determine the popularity or leverage level of an actor towards other actor. The value of centrality measurement is a weighted graph. To maximalize the result, every relation in a graph will be added value from Probabilistic Partnership Index (PPI) method calculation. Furtherly, the analysis and implementation with degree centrality are executed with Kretschmer method using the value from PPI measurement. From the conducted experimental process value, we observed that PPI and Kretschmer can be used as one of the centrality method to determine the leverage level and popular actor of an environment in Twitter.