International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Double Blind Reviewed

ISSN: 2319-7064




Downloads: 106

Research Paper | Computer Science & Engineering | India | Volume 4 Issue 6, June 2015


Quantifying Qualitative Analysis for Collaborations in Enhanced Virtual Social Platforms

P. Siva Kumar [3] | K. Srikanth [2]


Abstract: Business collaboration for more productive solutions are trending in today-s business scenarios, collaboration is word defined more specifically towards social community events. Therefore social communities play an vital role in identifying, extending support platform for collaboration. As of IT is considered most popular social platforms are Twitter, Facebook etc have changed the face of IT social communication when considered. In order to create and sustain this kind of business collaborations, specialized methods or techniques are required. In this paper we propose concept of quantifying qualitative MMQCDL for business collaborations in Enhanced social Platforms. It is achieved by discovering present relevant businesses and prospective business alliances by developing related collaborations technique assumptions. The empirical results revealed that the proposed system is effective when tested with test bed which is based on social platforms. -


Keywords: Business collaborations, quantifying qualitative, alliances empirical, effective distributed


Edition: Volume 4 Issue 6, June 2015,


Pages: 942 - 944


How to Cite this Article?

P. Siva Kumar, K. Srikanth, "Quantifying Qualitative Analysis for Collaborations in Enhanced Virtual Social Platforms", International Journal of Science and Research (IJSR), Volume 4 Issue 6, June 2015, pp. 942-944, https://www.ijsr.net/get_abstract.php?paper_id=SUB155349

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