activity
20192023
most citedDo disruption index indicators measure what they propose to measure? The comparison of several indicator variants with assessments by peers

92 citations · 128 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SI2023★ 3 cited

Well-Connected Communities in Real-World and Synthetic Networks

Minhyuk Park, Yasamin Tabatabaee, Vikram Ramavarapu +7

Integral to the problem of detecting communities through graph clustering is the expectation that they are "well connected". In this respect, we examine five different community de…

cs.SI2022★ 4 cited

AOC; Assembling Overlapping Communities

Akhil Jakatdar, Baqiao Liu, Tandy Warnow +1

Through discovery of meso-scale structures, community detection methods contribute to the understanding of complex networks. Many community finding methods, however, rely on disjoi…

cs.DL2021★ 18 cited

Center-Periphery Structure in Communities: Extracellular Vesicles

Eleanor Wedell, Minhyuk Park, Dmitriy Korobskiy +2

Clustering and community detection in networks are of broad interest and have been the subject of extensive research that spans several fields. We are interested in the relatively…

cs.DL2019★ 11 cited

Viewing Computer Science through Citation Analysis; Salton and Bergmark Redux

Sitaram Devarakonda, Dmitriy Korobskiy, Tandy Warnow +1

Computer science has experienced dramatic growth and diversification over the last twenty years. Towards a current understanding of the structure of this discipline, we analyze a c…

cs.DL2019★ 92 cited

Do disruption index indicators measure what they propose to measure? The comparison of several indicator variants with assessments by peers

Lutz Bornmann, Sitaram Devarakonda, Alexander Tekles +1

Recently, Wu, Wang, and Evans (2019) and Bu, Waltman, and Huang (2019) proposed a new family of indicators, which measure whether a scientific publication is disruptive to a field…