Boleslaw K. Szymanski

Statistical and Nonlinear Physics · 2011–2020

A researcher in the Science corpus: 5 papers; trusts 59 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 139 citations into it; #3,510 of 10,127 by trust here, #2,437 by citations
• Molecular Biology — 65 citations into it
• Global and Planetary Change — 53 citations into it
• Artificial Intelligence — 34 citations into it
• Computer Networks and Communications — 33 citations into it; #5,853 of 9,886 by trust here, #4,405 by citations
• Civil and Structural Engineering — 20 citations into it
• Sociology and Political Science — 20 citations into it; #19,909 of 22,756 by trust here, #14,917 by citations
• Economics and Econometrics — 18 citations into it

Whom Boleslaw K. Szymanski trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Mark Newman
2. Andrea Lancichinetti
3. Steve Gregory
4. Santo Fortunato
5. Usha Nandini Raghavan
6. Réka Albert
7. Vincenzo Nicosia
8. Jure Leskovec
9. Gergely Palla
10. Albert-László Barabási

Who trusts Boleslaw K. Szymanski overall

1. Santo Fortunato
2. Punam Bedi
3. Darko Hric
4. Jaewon Yang

Papers from Boleslaw K. Szymanski's perspective

Ordered by how strongly the researchers Boleslaw K. Szymanski trusts endorse each paper. Same corpus, a different order for every researcher.

1. Statistical mechanics of complex networks
2. The Structure and Function of Complex Networks
3. Community structure in social and biological networks (Proceedings of the National Academy of Sciences of the United States of America)
4. Uncovering the overlapping community structure of complex networks in nature and society (Nature)
5. Fast algorithm for detecting community structure in networks.
6. Modularity and community structure in networks.
7. Random graphs with arbitrary degree distributions and their applications. (Physical review. E, Statistical, nonlinear, and soft matter physics)
8. Collective dynamics of ‘small-world’ networks
9. Finding community structure in networks using the eigenvectors of matrices. (Physical review. E, Statistical, nonlinear, and soft matter physics)
10. Error and attack tolerance of complex networks

Their papers

• Social consensus through the influence of committed minorities (2011) — 371 citations
• Network resilience (2020) — 162 citations
• Towards Linear Time Overlapping Community Detection in Social Networks (2012) — 298 citations
• SLPA: Uncovering Overlapping Communities in Social Networks via a Speaker-Listener Interaction Dynamic Process (2011) — 529 citations
• Overlapping community detection in networks: The state-of-the-art and comparative study (2011) — 1,249 citations