The University of Southampton
University of Southampton Institutional Repository

A novel risk-based approach for online community management

A novel risk-based approach for online community management
A novel risk-based approach for online community management
Online communities play a pivotal role in innovation, marketing, corporate expertise management, product support and advertising. Communities in the order of millions of users are becoming the norm. However, this proliferation of demand is not met with intelligent, scalable, easy to use community management approaches. Current methods are based on basic statistical tools that aggregate data for the community owner/moderator to interpret and take appropriate actions. The data reflects only the current state of the community, which does not constitute an effective warning system of future events. Moreover, the community health becomes highly dependent on the owner’s skill, interpretation, intimate knowledge of the community and its evolution path. This paper presents a proactive, extensible, risk-based management framework supporting advanced analytical services for managing online communities. The solution allows community owners to focus on the community objectives and proactively manage favourable/unfavourable events at the user and community level.
risk management, online communities, risks and opportunities, modelling, simulation, prediction
978-1-61208-280-6
25-30
Nasser, Bassem
d601c873-8295-44e3-a4e1-d363a26ee086
Engen, Vegard
5ab4f73a-6cb5-4a58-9d89-ebced3182962
Crowle, Simon
2d373553-1b1c-4d68-9e62-680bdcd9e20d
Walland, Paul
ee411ac1-9ebc-4513-a691-a3b95b599d7f
Nasser, Bassem
d601c873-8295-44e3-a4e1-d363a26ee086
Engen, Vegard
5ab4f73a-6cb5-4a58-9d89-ebced3182962
Crowle, Simon
2d373553-1b1c-4d68-9e62-680bdcd9e20d
Walland, Paul
ee411ac1-9ebc-4513-a691-a3b95b599d7f

Nasser, Bassem, Engen, Vegard, Crowle, Simon and Walland, Paul (2013) A novel risk-based approach for online community management. ICIW 2013, The Eighth International Conference on Internet and Web Applications and Services. 23 - 28 Jun 2013. pp. 25-30 .

Record type: Conference or Workshop Item (Paper)

Abstract

Online communities play a pivotal role in innovation, marketing, corporate expertise management, product support and advertising. Communities in the order of millions of users are becoming the norm. However, this proliferation of demand is not met with intelligent, scalable, easy to use community management approaches. Current methods are based on basic statistical tools that aggregate data for the community owner/moderator to interpret and take appropriate actions. The data reflects only the current state of the community, which does not constitute an effective warning system of future events. Moreover, the community health becomes highly dependent on the owner’s skill, interpretation, intimate knowledge of the community and its evolution path. This paper presents a proactive, extensible, risk-based management framework supporting advanced analytical services for managing online communities. The solution allows community owners to focus on the community objectives and proactively manage favourable/unfavourable events at the user and community level.

Text
354147.pdf - Version of Record
Restricted to Repository staff only
Request a copy

More information

Published date: 23 June 2013
Venue - Dates: ICIW 2013, The Eighth International Conference on Internet and Web Applications and Services, 2013-06-23 - 2013-06-28
Keywords: risk management, online communities, risks and opportunities, modelling, simulation, prediction
Organisations: IT Innovation

Identifiers

Local EPrints ID: 354147
URI: http://eprints.soton.ac.uk/id/eprint/354147
ISBN: 978-1-61208-280-6
PURE UUID: 0e74e472-97e3-490f-b0e3-d7a67a66549d

Catalogue record

Date deposited: 10 Jul 2013 14:01
Last modified: 14 Mar 2024 14:14

Export record

Contributors

Author: Bassem Nasser
Author: Vegard Engen
Author: Simon Crowle
Author: Paul Walland

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×