Published Paper Details:

Social network is a set of nodes and edges interconnected to form a structural graph, here the node represents the social actor or the user who may be individual or any organisation and the edges represents the relationship between the social actors. The footprints left behind the social actors on the anonymization social graph leads to data hack. To notify the social actors whose data has been hacked, we designed an algorithm Seed then grow. This algorithm helps in the identification of social actors from the anonymised graph. Identification is done by the structural similarities in the social graph. Sub graph is known as the seed. Initially the seed is implantation by attacker on the social structural graph. Then the seed is made to grow based on the similarities found in the network. The seed then grows to identify the social actors and notifies regarding the hacker and by removing the arbitrary parameters of the previous work. This algorithm has very little adverse information and is efficient, also accurate.