Specifying Trust-based Community Learning

Abstract

Abstract: while chatting with neighbours is a social behaviour, trusting a neighbour is a natural tendency. Both play subtle roles in making community knowledge. We propose Trust Based Community Learning, a process that performs asynchronous knowledge transmissions over a neighbour graph implicitly defined in a community. With a formal specification, we have shown community learning as a distributed process and it eventually achieves community knowledge. It’s observed that social learning can be facilitated by re-engineering a community neighbour-graph to a small world network.

Index Terms: community knowledge, distributed algorithm, asynchronous knowledge transmissions, neighbour-graph.