Research on the Influencing Mechanism of Multi-subject Interaction in Online Health Community Based on ERGM
[Purpose/Significance]By analyzing the multifaceted influencing factors and their mechanisms of multi-subject interactions in online health communities(OHCs),this study aims to unveil the characteristics of multi-subject interaction and the socialization process of the networks in OHCs.[Method/Process]With the interaction data collected from the Lymphoma House,this study constructed a multi-subject interactions network among the community participants,and utilized the exponential random graph model(ERGM)to analyze the in-fluences of subject types,subject homophily attributes,social capital attributes,and network local structural vari-ables on diverse interactions among participants.[Result/Conclusion]Cross-subject interactions emerge as the primary mode of interaction among multi-subject.Patients,suspected patients,doctors,family members,friends,OHCs administrators and health-anxious users tend to interact with other types of users.Homophily based on disease type and geographic location,as well as the"knowledge gap"effect caused by heterogeneous health sta-tus,are important conditions that promote interactions.Effects related to activity levels,both in sending and re-ceiving interactions,are significant,and the"acquaintance effect"based on friend relationships is also prominent.The formation process of the diverse interactions network also exhibits significant reciprocity and transitivity features.
万方数据
维普
