Generic social network data crawler using attributed graph

The more increasing active users in sharing information and in interacting with others on online social network unconsciously has reflected the existence of many data that can be used as the research objects for various purposes. Hence, the activity of data crawling is critical as a first gate in accessing the information in social network. This study aims to develop software of data crawler by using the attributed graph approach to store the information from online social network and simultaneously to use simple algorithm to do node and edge detection in order to illustrate the interrelation of objects. The results of the research showed that the information from the developed data crawler can obtained more effectively and can be visualized with the assistance of Gephi software.