Match fixing network analysis to verify nearness among internal participants of a cricket match

Match fixing in cricket is a fraudulent activity involving captain of the team, few key players, umpires, officials, bookies, middle men and gangsters. To perform match fixing in cricket, they form a criminal network with each of them acting as a node and association between these nodes acting as edges. To analyze this network concepts like using graph mining, link mining, community mining and algorithmic design notation like greedy technique are applied. Participants in a cricket match like captain, umpires, players, officials are called internal participants share vital game plan information from dressing room with bookies, middlemen and gangsters. Participants like bookies, middlemen and gangsters who perform match fixing with the support of internal participants are called external participants and they use information given to them by internal participants to conduct betting and fixing activities. Some important game plan information are pitch report, weather report, team composition, team batting strategy, field placement, and team bowling strategy. In this paper we focus our attention on match fixing network analysis using internal participants.