Burden due to infectious and noncommunicable disease is increasing at an alarming rate . Social media usage is growing rapidly and has become the new norm of communication . It is imperative to examine what is being discussed in the social media about diseases or conditions and the characteristics of the network of people involved in discussion . The objective is to assess the tools and techniques used to study social media disease networks using network analysis and network modeling . PubMed and IEEEXplore were searched from 2009 to 2020 and included 30 studies after screening and analysis . Twitter, QuitNet, and disease-specific online forums were widely used to study communications on various health conditions . Most of the studies have performed content analysis and network analysis, whereas network modeling has been done in six studies . Posts on cancer, COVID-19, and smoking have been widely studied . Tools and techniques used for network analysis are listed . Health-related social media data can be leveraged for network analysis . Network modeling technique would help to identify the structural factors associated with the affiliation of the disease networks, which is scarcely utilized . This will help public health professionals to tailor targeted interventions.