Granularity of personal intelligence in social networks

Shahrinaz Ismail, Mohd Sharifuddin Ahmad, Zainuddin Hassan

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter introduces and exposes the latest development of agent-modeling framework that emerges from understanding the human behaviour of personal knowledge management (PKM) in social networks. The growing interest in personal knowledge management in exposing personal intelligence has brought out the postulation of GUSC model, which becomes the basis of agent-mediated PKM. In micro view, this GUSC model is the significant tool in understanding the granularity of personal intelligence in social networks. It eventually leads to a theoretical treatment on the bottom-up manifestation of organisational knowledge management from individual PKM processes.

Original languageEnglish
Title of host publicationSocial Networks
Subtitle of host publicationA Framework of Computational Intelligence
PublisherSpringer Verlag
Pages201-224
Number of pages24
ISBN (Print)9783319029924
DOIs
Publication statusPublished - 01 Jan 2014

Publication series

NameStudies in Computational Intelligence
Volume526
ISSN (Print)1860-949X

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

Cite this

Ismail, S., Ahmad, M. S., & Hassan, Z. (2014). Granularity of personal intelligence in social networks. In Social Networks: A Framework of Computational Intelligence (pp. 201-224). (Studies in Computational Intelligence; Vol. 526). Springer Verlag. https://doi.org/10.1007/978-3-319-02993-1_10