An intelligent information retrieval: a social network analysis. (1st January 2012)

• Record Type: Journal Article
• Authors: Arora, Monika; Kanjilal, Uma; Varshney, Dinesh
• Is Part Of: International journal of Web based communities. Volume 8:Number 2(2012)
• Page Start: 213
• Page End: 222
• Publication Date: 2012-01-01
• Subjects: social networking -- social networking analysis -- information retrieval -- social networking tools -- web science -- social sciences -- semantics -- LinkedIn -- Facebook -- MySpace -- blogs -- Twitter -- intelligent information retrieval; Online social networks -- Periodicals; Social media -- Periodicals; World Wide Web -- Periodicals; 302.30285
• Languages: English
• ISSNs: 1477-8394

Abstract

Information retrieval is the need to find (retrieve) already available information, as well as to generate knowledge by applying the intelligence. The concept of social networks is vital in helping the users to manage their work cycle and adaptation of information technology evolutions. It has an open platform to the where the researchers can apply classical technique from social network to online networking; and also influence it to semantic representation. The Google trend depicts the data of social networking as 93% usage of social networking. A survey study is undertaken that interprets the use of different social networking for the youth of Delhi in India. It also depict the data of the usage of information retrieval with social networking is very low. This paper attempts carry an online survey for the users of social networking sites to find the ease in usage and comfort ability in using those websites.