Social Media Domain Analysis (SoMeDoA) - A Pharmaceutical Study

David Bell, Sara Robaty Shirzad

Abstract

Social media data is increasingly becoming a valuable asset for marketing teams, and businesses are regularly coming up with new and innovative ways to make use of this data. A social media network (SMN) is able to connect enterprises with their customers, partners and even competitors. Public trading and relations-oriented structures of social media networks (SMN) have encouraged organizations to engage more actively with other transactional partners. Organizations are seeking to tap into the relationship development potential these websites offer, especially the network effect of each individuals or organisations social graph. It is recognized that these relationships (when utilised) are able to create value for network participants. This paper discusses SMN tools and outlines a methodology and procedure that supports the identification of domain specific networks within a global business-to-business environment. Research is carried out using SMN data about firms in the pharmaceutical industry. We use our own methodology to uncover market participants, linkages and prominent issues that may help new firms to position themselves effectively in a new marketplace. SMNs provide a considerable source of information and new methods are required to fully leverage their potential value. This paper explores how SMNs can be used as an effective source of business intelligence by analysing a popular SMN platform.

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Paper Citation


in Harvard Style

Bell D. and Robaty Shirzad S. (2013). Social Media Domain Analysis (SoMeDoA) - A Pharmaceutical Study . In Proceedings of the 9th International Conference on Web Information Systems and Technologies - Volume 1: STDIS, (WEBIST 2013) ISBN 978-989-8565-54-9, pages 561-570. DOI: 10.5220/0004499105610570


in Bibtex Style

@conference{stdis13,
author={David Bell and Sara Robaty Shirzad},
title={Social Media Domain Analysis (SoMeDoA) - A Pharmaceutical Study},
booktitle={Proceedings of the 9th International Conference on Web Information Systems and Technologies - Volume 1: STDIS, (WEBIST 2013)},
year={2013},
pages={561-570},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004499105610570},
isbn={978-989-8565-54-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Web Information Systems and Technologies - Volume 1: STDIS, (WEBIST 2013)
TI - Social Media Domain Analysis (SoMeDoA) - A Pharmaceutical Study
SN - 978-989-8565-54-9
AU - Bell D.
AU - Robaty Shirzad S.
PY - 2013
SP - 561
EP - 570
DO - 10.5220/0004499105610570