NodeXL Dataset for Early-Stage VR Retail Discourse on Twitter/X

This dataset supports a study examining digital leadership as a networked social process on Twitter (X). Using Social Network Analysis (SNA) conducted with NodeXL Pro, the data captures how influential actors across academic, professional, and socio-political domains engage in leadership discourse and enact transformational leadership (TFL) principles.The dataset consists of 1,186 Twitter accounts (vertices) and 1,362 relational ties (edges), representing interactions such as mentions, replies, and retweets. Network metrics including degree centrality, betweenness centrality, and PageRank were computed, and community structures were identified using the Clauset–Newman–Moore (CNM) clustering algorithm.Semantic analysis and inductive thematic mapping were applied to examine the presence of TFL dimensions (individualized consideration, intellectual stimulation, inspirational motivation, and idealized influence) across networked communities.The dataset includes the NodeXL workbook, edge and vertex lists, graph metrics, and documentation describing data collection procedures, keywords, and analytical steps. Due to platform policies and privacy considerations, raw tweet content is not fully included; however, the dataset provides sufficient information to reproduce the network structure and analytical findings of the study.