Modelagem de rede de confiança e coautoria na difusão do conhecimento das plantas alimentícias não convencionais (PANC) no Brasil

Abstract

Non-conventional Food Plants (PANC) despite being considered invasive and weeds have a series of benefits for the maintenance of ecosystems, as many are native, and for humans due to their food and nutritional potential. However, the non-consumption of PANC is also due to the lack of knowledge about their nutritional, landscape and therapeutic properties. This lack of information has a relevant impact on the formation of a chain of production, distribution, trade and consumption of the PANC. In this sense, the objective of this thesis was to develop an application for mobile device (mobile software) to model the network of trust and coauthorship of producers, restaurants and consumers in Brazil to expand the dissemination of knowledge of PANC, allied to the PANC Bahia Network, in order to enhance the reach of its actions. The methodological trajectory of the research was based on the foundations of Elaboration of Digital Tools, Analysis of Social Networks (ARS) and Network Modeling, configuring itself in a qualitative-quantitative research of an applied nature. In this context, the network was modeled according to the data extracted by the application, from the PANC Network. As a result, a visualization of the existence of the trust and co-authorship network was obtained, through the graphs prepared by the Gephi program and analysis of network metrics such as degree centrality, intermediation, proximity, eigenvector, density and network diameter. In short, through the modeled network, new directions and tools were visualized to leverage the dissemination of PANC knowledge, in a differential and innovative proposal. The researchers involved in this research aim for this application to be a tool to transcend the challenges of disseminating knowledge of PANC and thus be more propagated, known, consumed and valued.