  In social networks, control of rumor spread is an active area of research.
SIR model is generally used to study the rumor dynamics in network while
considering the rumor as an epidemic. In disease spreading model, epidemic is
controlled by removing central nodes in the network. Full network information
is needed for such removal. To have the information of complete network is
difficult proposition. As a consequence, the search of an algorithm that may
control epidemic without needing global information is a matter of great
interest. In this paper, an immunization strategy is proposed that uses only
local information available at a node, viz. degree of the node and average
degree of its neighbour nodes. Proposed algorithm has been evaluated for
scale-free network using SIR model. Numerical results show that proposed method
has less complexity and gives significantly better results in comparison with
other strategies while using only local information.
