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Article
Publication date: 14 November 2016

Konstantinos Domdouzis, Babak Akhgar, Simon Andrews, Helen Gibson and Laurence Hirsch

A number of crisis situations, such as natural disasters, have affected the planet over the past decade. The outcomes of such disasters are catastrophic for the infrastructures of…

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Abstract

Purpose

A number of crisis situations, such as natural disasters, have affected the planet over the past decade. The outcomes of such disasters are catastrophic for the infrastructures of modern societies. Furthermore, after large disasters, societies come face-to-face with important issues, such as the loss of human lives, people who are missing and the increment of the criminality rate. In many occasions, they seem unprepared to face such issues. This paper aims to present an automated social media and crowdsourcing data mining system for the synchronization of the police and law enforcement agencies for the prevention of criminal activities during and post a large crisis situation.

Design/methodology/approach

The paper realized qualitative research in the form of a review of the literature. This review focuses on the necessity of using social media and crowdsourcing data mining techniques in combination with advanced Web technologies for the purpose of providing solutions to problems related to criminal activities caused during and after a crisis. The paper presents the ATHENA crisis management system, which uses a number of data mining techniques to collect and analyze crisis-related data from social media for the purpose of crime prevention.

Findings

Conclusions are drawn on the significance of social media and crowdsourcing data mining techniques for the resolution of problems related to large crisis situations with emphasis to the ATHENA system.

Originality/value

The paper shows how the integrated use of social media and data mining algorithms can contribute in the resolution of problems that are developed during and after a large crisis.

Details

Journal of Systems and Information Technology, vol. 18 no. 4
Type: Research Article
ISSN: 1328-7265

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Article
Publication date: 11 November 2013

Mina Serajian and Babak Akhgar

There exist large gaps in research about social networking services, for example in their development. Most of these networks lack any scientific or engineered base in their…

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Abstract

Purpose

There exist large gaps in research about social networking services, for example in their development. Most of these networks lack any scientific or engineered base in their designing and developing processes. In this paper, a holistic model will be described for the development of social network sites and parts of a scientific social network (SSN) will be developed using it. Users of this site are faculties, students and R&D personnel of a university or an enterprise. The paper aims to discuss these issues.

Design/methodology/approach

In this paper, a SSN site is designed along with a brief description of a social network site development methodology. The structure of methodology is based on conceptual template for the construction of a methodology. Using this methodology, a group of 50 users (from all three types of end-users) have been chosen to be interviewed about their expectations from the mentioned site.

Findings

Based on the interview, it was discovered that their view about social networks is inflexible and they do not have any new visions about functionalities of these networks. Their emphasis was mostly on exchanging and sharing role of this site. Design and development of social network sites based on the proposed methodology is easily understandable because of using state machine notations.

Originality/value

The innovation of this study is to propose a soft model for social network sites design based on these site's special specifications and regarding differences of them with other regular ones. This can pave the way for investors of such sites for setting up distinct social sites with new functionalities in an innovative approach.

Details

Journal of Systems and Information Technology, vol. 15 no. 4
Type: Research Article
ISSN: 1328-7265

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