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METHOD OF GENERATING, STORING AND MINING DATA RELATED TO KEY OPINION LEADERS IN SCIENTIFIC FIELDS AND COMPUTER SYSTEM CONFIGURED FOR PRESENTING AN EXPLORABLE GRAPHICAL USER INTERFACE
METHOD OF GENERATING, STORING AND MINING DATA RELATED TO KEY OPINION LEADERS IN SCIENTIFIC FIELDS AND COMPUTER SYSTEM CONFIGURED FOR PRESENTING AN EXPLORABLE GRAPHICAL USER INTERFACE
A method of storing and ingesting data related to key opinion leaders is provided. The method includes extracting published works data, individual data, organization data and subject matter data for a plurality of published scientific works to identify entities for each of the published scientific works and storing the published works data, the individual data, the organization data and the subject matter data in a graph database as an explorable network in which each of the entities is represented by a respective node, the published scientific works including at least one of results of clinical trials and biomedical scientific publications, the entities including the published scientific works, individuals, organizations and subjects, the nodes including published work nodes representing the published scientific works, individual nodes representing the individuals, organization nodes representing the organizations and subject matter nodes representing the subjects, each of the individual nodes being linked to at least one of the other individual nodes, at least one of the organization nodes and at least one of the subject matter nodes, the graph database being configured such that the individual nodes, organization nodes and subject nodes are each displayable on a graphical user interface as a center node icon in a partial view of the explorable network with linked nodes being generated as outer node icons surrounding the center node icon. The method also includes mining the explorable network stored in the graph database to augment the explorable network with supplemental information for each individual in the explorable network. The supplemental information is relevant to each individual being a key opinion leader. The method also includes storing the supplemental information for each individual in the explorable network such that upon selection of a node icon representing one or more of the individual nodes the corresponding supplemental information for the one or more individuals represented by the one or more individual nodes is generated on the graphical user interface.
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