A Framework for Optimum Selection of Online Social Network Management Systems

Many Social Media Management Systems (SMMS) have been developed to utilize multiple accounts over different online social networks. Each system has advantages and disadvantages and can be more or less useful depending on its features and cost. However, the divers and lack of consensus in SMMS functionalities, lead to a problem for the decision makers to determine what platforms and tools they should be using. In this paper, we propose a new framework to select the most appropriate platform to manage multiple social network accounts. The proposed framework has two phases, namely, evaluation and ranking. The current practice of evaluation process involves expert users opinions on the systems to rate its importance based on the users' preferences which is measured on the efficiency of the tool for finding required results. The evaluation phase of the proposed technique combines the current practice with the weight of importance, where the later one has been calculated by applying statistical methods. The ranking phase has designed based on the well-known Analytic Hierarchy Process AHP algorithm. The results have been showed as a ranking list of the candidate SMMS.