Autonomic analysis of social networks

Modern society offers us many ways to socially interact with friends, colleagues, co-workers, etc. In this scenario, our social networks are in constantly changing and interests, objectives, and other things involved in each social interaction can be affected or even remain out of reach. For each change, the social network has to be re-analyzed to show us if the interests and objectives can still be attained. Each analysis carries its own variables, relevant information, contexts and difficulties, and this new analysis can be expensive for a Human entity. We argue that autonomic computing could help with the analysis and in decision-making, transforming the network into an autonomic social network: intelligent networks capable of analyzing themselves and suggesting actions to individuals or computational systems towards attaining one or more set goals.