A New Approach to Extract Frequent Conceptual Links from Social Networks

Subject Areas : Information Technology in Engineering Design (ITED) Journal

Mahboobeh Farimani ¹ (باشگاه پ‍ژوهشگران جوان دانشگاه آزاد مشهد)
saman Poorsiah ² (Department Of computer Islamic azad University)
Hamid Tabatabaee ³ (گروه کامپیوتر دانشگاه آزاد اسلامی واحد قوچان)
Hossien Salami ⁴ (Department of Islamic Azad univer sity Mashhad Branch)

Received: 2017-06-14 Accepted : 2017-06-14 Published : 2016-08-22

Keywords:

Abstract :

Conceptual link is a new approach for describing social networks. In this approach, the concealed knowledge in social network is presented using a concise structure called Conceptual view. Main challenge to achieve conceptual view from a social network is extracting frequent conceptual links, which is very time consuming for large networks. In this paper, a new method for extracting frequent conceptual links from social networks is provided where by using the concept of dependency, it is tried to accelerate the process of extracting conceptual links. The proposed method will be able to accelerate this process if there are dependencies between data.