Parina Alamir and Nima Jafari Navimipour
As social networking services are popular, the need for recognizing reliable people has become the main concern. Quantifying the relationships between the users of social networks…
Abstract
Purpose
As social networking services are popular, the need for recognizing reliable people has become the main concern. Quantifying the relationships between the users of social networks is also one of the important challenges with the increasing number of users. So, trust plays an important role in social networks in order to recognize trustworthy people. The purpose of this paper is to propose an approach to recognize trustworthy users and protect users from abuse by untrustable users.
Design/methodology/approach
In this paper, the authors suggest a method to measure the trust value between users of social networks based on call log histories such as abundance, novelty, and sincerity and quality of service (QoS) requirements such as accessibility, response ability, tend to respond, and agility. After that, the authors calculate error-hit, precision, and recall to evaluate the trust value.
Findings
The results indicate that the proposed approach has better performance in terms of error-hit, precision, and recall than FIFO, combined, QoS-based, and call log-based method.
Originality/value
In this paper, the trust issue in social networks is pointed out and a new approach to evaluate the trust value is proposed based on call log histories and QoS requirements.
Details
Keywords
Alireza Souri, Monire Nourozi, Amir Masoud Rahmani and Nima Jafari Navimipour
The purpose of this paper is to describe how formal verification strategies have been utilized to assess the correctness of Knowledge Creation Process (KCP) in the social systems…
Abstract
Purpose
The purpose of this paper is to describe how formal verification strategies have been utilized to assess the correctness of Knowledge Creation Process (KCP) in the social systems. This paper analyzes a User Relationship Management (URM) approach in term of human behavior connection in the social systems. A formal framework is displayed for the URM which consolidates behavioral demonstrating strategy.
Design/methodology/approach
Evaluating the human behavior interactions is an important matter in the social systems. For this analysis, formal verification is an essential section in the complex information systems development. Model checking results satisfied the logical problems in the proposed behavior model analysis.
Findings
Model checking results represent satisfaction of the logical problems in the proposed behavior model analysis. In the statistical testing, the proposed URM mechanism supported KCP conditions. Also, the percentage of state reachability in the URM with KCP conditions is higher than the URM mechanism without supporting KCP conditions.
Originality/value
The model checking results show that the proposed URM mechanism with supporting the KCP conditions satisfies comprehensively behavioral interactions rather than the mechanism without KCP conditions in the social networks.