69 citations · 310 across the 13 of their papers we have counts for
13 papers
Multi-Functional Embedding Models for Funder Name Disambiguation in Scientific Publication Records
Kanyao Han, Zhiwen You, Jinseok Kim +1
Understanding the historical allocation and distribution of research funding advances our knowledge of how scientific research is supported across fields, institutions, and regions…
Effects of Vertex Merging & Splitting on Large Coauthorship Networks: A Counterfactual Analysis
Jinseok Kim
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 netwo…
Generating automatically labeled data for author name disambiguation: An iterative clustering method
Jinseok Kim, Jinmo Kim, Jason Owen-Smith
To train algorithms for supervised author name disambiguation, many studies have relied on hand-labeled truth data that are very laborious to generate. This paper shows that labele…
Over-time measurement of triadic closure in coauthorship networks
Jinseok Kim, Jana Diesner
Applying the concept of triadic closure to coauthorship networks means that scholars are likely to publish a joint paper if they have previously coauthored with the same people. Pr…
Formational bounds of link prediction in collaboration networks
Jinseok Kim, Jana Diesner
Link prediction in collaboration networks is often solved by identifying structural properties of existing nodes that are disconnected at one point in time, and that share a link l…
A fast and integrative algorithm for clustering performance evaluation in author name disambiguation
Jinseok Kim
Author name disambiguation results are often evaluated by measures such as Cluster-F, K-metric, Pairwise-F, Splitting & Lumping Error, and B-cubed. Although these measures have dis…
Effect of forename string on author name disambiguation
Jinseok Kim, Jenna Kim
In author name disambiguation, author forenames are used to decide which name instances are disambiguated together and how much they are likely to refer to the same author. Despite…
ORCID-linked labeled data for evaluating author name disambiguation at scale
Jinseok Kim, Jason Owen-Smith
How can we evaluate the performance of a disambiguation method implemented on big bibliographic data? This study suggests that the open researcher profile system, ORCID, can be use…
Scale-free collaboration networks: An author name disambiguation perspective
Jinseok Kim
Several studies have found that collaboration networks are scale-free, proposing that such networks can be modeled by specific network evolution mechanisms like preferential attach…
Evaluating author name disambiguation for digital libraries: A case of DBLP
Jinseok Kim
Author name ambiguity in a digital library may affect the findings of research that mines authorship data of the library. This study evaluates author name disambiguation in DBLP, a…
Author-Based Analysis of Conference versus Journal Publication in Computer Science
Jinseok Kim
Conference publications in computer science (CS) have attracted scholarly attention due to their unique status as a main research outlet unlike other science fields where journals…
Coauthorship networks: A directed network approach considering the order and number of coauthors
Jinseok Kim, Jana Diesner
In many scientific fields, the order of coauthors on a paper conveys information about each individual's contribution to a piece of joint work. We argue that in prior network analy…
Distortive Effects of Initial-Based Name Disambiguation on Measurements of Large-Scale Coauthorship Networks
Jinseok Kim, Jana Diesner
Scholars have often relied on name initials to resolve name ambiguities in large-scale coauthorship network research. This approach bears the risk of incorrectly merging or splitti…