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Supplementary data for “New methodologies for the digital age? How methods (re-)organize research using social media data”
(2023) Fan, Yangliu; Lehmann, Sune; Blok, Anders
Data collection Data annotation and Word2Vec model training Table S1. Method list Table S2. Network topological quantities for the journal citation network
Supplementary Information for “Understanding scholar-trajectories across scientific periodicals”
(2024) Fan, Yangliu; Lehmann, Sune; Blok, Anders
1. Gender Assignment 2. Tables and Figures 3. The embedding model with five dimensions References
Supplementary Information: “Extracting the interdisciplinary specialty structures in social media data-based research: A clustering-based network approach”
(2022) Fan, Yangliu; Lehmann, Sune; Blok, Anders
In this Supplementary Information, we provide the additional analyses of authors and detail the results for network analysis that we present in the paper. The weighted network is generally represented as a graph G = (V, E, 𝜔) with a weight 𝜔 assigned to each edge, where V is the graph's vertex set, and E is the edge set. We assume that G is a simple undirected graph with no multiple edges or loops, and edges have no orientations. S1 Author-level analysis S2 Comparison of the two network filtering techniques S3 Network statistics S4 The disciplinary composition of clusters in the networks