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Author name ambiguity distorts coauthorship network analysis

Researchers have analyzed the impact of author name ambiguity on coauthorship networks, a common issue in digital libraries research. They found that typical disambiguation methods, which rely on initials, can significantly distort network properties by merging or splitting author vertices. This leads to an underestimation of network size and an overestimation of collaboration and embeddedness, potentially skewing research findings. AI

RANK_REASON The cluster contains a research paper published on arXiv. [lever_c_demoted from research: ic=1 ai=0.4]

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  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Jinseok Kim ·

    Effects of Vertex Merging & Splitting on Large Coauthorship Networks: A Counterfactual Analysis

    Researchers analyze coauthorship networks, but author name ambiguity in their network data remains a significant challenge as it can change the number of vertices, distorting network properties. Although many scholars use straightforward heuristics for author name disambiguation …