Leveraging the Employees of Organizations Using an Organizational Network Analysis tool based on information Dissemination Tree Model of Information Diffusion

Abstract

The organizational social networks are symmetric with that of social networks; both the organizational social networks and the online social networks involve people and their interactions. The analysis of these organizations is trending these days. The research studies on organizational networks can bring new developments in the organizations under study. In this paper we have proposed a Social Networks Analysis (SNA) model, the proposed model is an Information Dissemination Tree (IDT) based cascading model for the detection of prioritization of organization networks users. Initially the method detects the users that can act at the top of their organization using a new degree centrality based on the organization’s information diffusion process. The new degree centrality will be based on the netdegree parameter. After the detection of these top users, the proposed model detects the Ultimate Observers of information diffusion in the given organization's social networks using the information dissemination tree based cascading model. The proposed model will output the prioritization of users according to their positions in the detected information dissemination cascades. The proposed model has been developed in Python language using three organization social networks, the experiments reveal that the proposed model is successful on the detection of initial cover of seed users that are acting as the top brasses in the given organizational network and the model gives the exact prioritization of all the users in the given network. Finally, the ultimate observers that are least prioritized users are detected successfully by the proposed method.