Abstract

The Umap project is a practical attempt to obtain collective intelligence from the flow of social networks: links that users share are analyzed, filtered and rated, making it feasible to convert collective intelligence into structured information. For example, information, comments and links that are shared by users belonging to a certain community –e. g., linguistic, social, thematic, organizational- are analyzed in real time to obtain trends at specified intervals (e. g., hourly, daily, weekly...). By means of simplicity search algorithms, the information flow becomes an automated news bulletin with its own value but to which opinions and the relevance that users of social networks give them are added. Umap opens the way for future applications centred in the extraction of information and collective intelligence from communities that share social, political, economical, trading, business, products, brand, technological and other interests through social networks. The first applications of the Umap project developed by CodeSyntax are already available at http://www.umap.eu