Social networking sites employ recommendation systems in contribution to providing better user experiences. The complexity in developing recommendation systems is largely due to the heterogeneous nature of social networks. This paper presents an approach to friend recommendation systems by using complex network theory, cognitive theory and a Pareto>optimal genetic algorithm in a two>step approach to provide quality, friend recommendations while simultaneously determining an individual's perception of friendship. Our research emphasizes that by combining network topology and genetic algorithms, better recommendations can be achieved compared to each individual counterpart. We test our approach on 1,200 Facebook users in which we observe the combined method to outper> form purely social or purely network>based approaches. Our preliminary results represent strong potential for developing link recommendation systems using this combined approach of personal interests and the underlying network.
Abstract-This paper focuses on deployment of smart meters in the power distribution systems to enhance the operation infrastructure. An important challenge in establishing a communication paradigm between the utilities and the customers is that customers are susceptible to privacy concerns. In this paper, we present a model to ensure the privacy and integrity of communicating parties within the smart grid by using smart meters as a gateway between intra-and inter-network communications. In particular, we utilize the smart meter as a firewall to manage incoming and outgoing traffic and mediate household devices based on the instructions from the electric utility. Moreover, third parties are introduced in our model such as service providers so that they can monitor and manage the contracted customers by using the existing communication infrastructure.
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