Study on the evolution of information sharing strategy for users of online patient community

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ORIGINAL ARTICLE

Study on the evolution of information sharing strategy for users of online patient community Panpan Zhu 1 & Jiang Shen 2 & Man Xu 3 Received: 25 July 2020 / Accepted: 12 September 2020 # Springer-Verlag London Ltd., part of Springer Nature 2020

Abstract Technological advances are driving the growth of online health communities. However, there are some problems such as low user participation and insignificant social benefits in online health communities. This paper discusses the evolution law of information sharing behavior of members of online health community to study the influence of different behaviors on health information sharing results and explore the ways to improve the level of community information sharing. Based on BA scale-free network (Albert-László Barabás and Réka Albert scale-free network), this paper established an information sharing behavior model for members of online health community with the evolutionary game theory method, and discussed the influence of different game parameters and initial conditions on the evolution results of information sharing behavior of community patients with the method of numerical experiment. It is found that the key to improve the level of community information sharing is to improve the benefit of patients’ information sharing, the proportion of patients sharing information at the initial moment, and the degree of network nodes, and reduce the sharing cost. Community managers should improve the information conversion ability and information absorption ability of community patients through offline activities, professional guidance, and other forms. At the same time, it can reduce the difficulty and risk of information sharing and strengthen the connection among members, thus comprehensively enhancing the value of the community. Keywords Evolutionary game . Information sharing . Online patient community . BA scale-free network

1 Introduction As an important support for extending medical and health services, online health communities make the communication between community members independent of time, space, and We confirm that the content of the manuscript has not been published or submitted for publication elsewhere. * Panpan Zhu [email protected] Jiang Shen [email protected] Man Xu [email protected] 1

Institute of Economics and Management, Henan Agricultural University, Zhengzhou, China

2

College of Management and Economics, Tianjin University, Tianjin, China

3

School of Business, NanKai University, Tianjin, China

social status, and provide effective support for the information exchange between patients [1]. By participating in community discussions, users of the online patient community can get support and help from other users of the community. Therefore, more and more patients collect and obtain medical information through the online community [2]. Community patient autonomy information sharing is an important basis for community sustainable development [3]. However, there are various risks and costs in online patient community memb