![]() It is commented as capable of providing insightful representation from mutualistic networks in ecology to trade networks in the economy (Saracco et al. The heterogeneous nature of the bipartite network makes it a realistic model of the real-world system and applicable across a wide range of research fields, particularly in the studies related to science and technology (Valejo et al. It is also referred to as an affiliation or two-mode network (Kevork and Kauermann 2022). A bipartite network consists of nodes of two different natures with links joining only between unlike nodes. This graph-theoretic network approach commonly focuses on the properties, the structural dynamics, and the relationship between the structure and function of real-world networks like social networks, transportation systems, collaboration networks, epidemiology and the Web and Internet structures which are regarded as emergent fields of network science by Barabási ( 2013). ![]() The bipartite network approach applies network theory that has its basis in graph theory (Harary 1969). The results obtained suggest that the methodology could serve as a generic framework in advancing the current state of the art of bipartite network approach. Two case studies from the domain of communicable disease in epidemiology and habitat suitability in ecology employing this framework are also presented. It is iterative and process-oriented in nature and allows future network expansion. The proposed framework consists of three main stages with principal processes detailed in each stage, and three libraries of techniques to guide the modeling activities. ![]() Consequently, this study intends to propose a methodology framework that considers the influence of heterogeneous features of each node to the overall network behavior in modeling real-world bipartite network system. The methodology in achieving this could hardly be found. Nonetheless, incorporating the features of individual vertex and capturing the dynamic interaction of the heterogeneous local rules governing each of them in the studies is lacking. They aim to provide the big-picture-view insights of a networked system by looking into the dynamic interaction and relationship among the vertices. The graph-theoretic based studies employing bipartite network approach mostly focus on surveying the statistical properties of the structure and behavior of the network systems under the domain of complex network analysis.
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