Online social networks (OSN’s) such as Twitter, Facebook, and Nexopia have gained a lot of popularity in the last decade, and has gone through some drastic changes in recent years. These Online social networks, allow people to create profiles, blogs, articles, and share content virtually with their families as well as friends at a massive scale. However, some datasets are publicly available on various sites, i.e., socialnetworks.mpi- sws.org[6]; aiming to examine and analyze the behaviors and trends social networks to understand the complex behavior and to inform the design of human-centered systems. In this article, we built a real data set from nexopia.com; in order to conduct several experiments and measurements with the objective of gathering a large set of unique users and extracting the associated friends for each user. Furthermore, we propose a module of trust by indexing the communal friends from the extracted dataset. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval – Retrieval models;D.1.3 [Programming Techniques]: Concurrent Programming – Parallel programming.