Detection of Offline Social Communities Using Unique Identifier-Based Methods
Authors: Carlos M. Silva
DOI: 10.87349/JBUPT/281008
Page No: 85-89
Abstract
with the extensive use of internet technologies, people today are likely to establish online interactive sessions from participating in social networking media like WhatsApp, Twitter, Facebook, LinkedIn etc. Based on the behavioral and structural aspects, communities can be distinguished and further be analyzed in a comprehensive fashion. However despite technological advancements in internet communications, some sections of people are neither lack of technical skill nor showing not interest to be participant. This is most happening thing in people who are involving in accomplishing mischievous activities. Our proposed system is to detect the fraudulent activities of members who are not explicitly or implicitly a part of online social networks. As on today Aadhaar identity playing a predominant role in linking the users with different agencies and delivering fruitful information to all major departments whenever is needed., it is taken as a criterion for investigating the ongoing crime activities in and around our country.
