This highly interdisciplinary research paper discusses some new insights into the funda-mental properties of information-rich social networks. It mainly focuses on: i) Postulating the general properties of an information-based networking economy; ii) Modeling emergent and self-organizing fea-tures of social networks; iii) Discussing how to simulate complex social systems using a field-based approach and multi-agent platforms. Additionally, this paper gives some ideas of how to construct a virtual field-based communications network of intelligent agents using currently available computational intelligence methods. A new simulation paradigm offers some useful concepts to transform multidimen-sional factor space (representing a multiplicity of phenomenal forms and interactions) into the most universal spectral coding system. This paper gives some ideas of how not only the communication mechanism but also the social agents can be simulated as oscillating processes.