Cross-Relation Characterization of Knowledge Networks

• DOI: 10.48550/arxiv.2306.15741
• Publication Date: 2023-01-01
• Authors: Eric K. Tokuda; Renaud Lambiotte; Luciano da Fontou...
• Keywords: Characterization

Knowledge networks have become increasingly important as a changing repository of data which can be represented, studied and modeled by using complex concepts methodologies. Here we report study knowledge corresponding to the areas Physics Theology, obtained from Wikipedia taken at two different dates separated 4 years. The respective versions these were characterized in terms their cross-relation signatures, being summarized modification indices for each nodes that are preserved among versions. proposed methodology is first evaluated on Erdos-Renyi (ER) Barabasi-Albert model (BA) networks, before tested respectively Theology. In former study, it has been observed core periphery both types theoretical models yielded similar within groups nodes, but with distinct values when across groups. Theology indicated signatures those BA ER models, well higher compared nodes.