Matthew J. Salganik
Sociology and Political Science · 2004–2021
A researcher in the Science corpus: 8 papers; trusts 20 researchers and is trusted by 71 researchers here, as inferred from the citation graph.
Subfields
- Sociology and Political Science — 40 citations into it; #811 of 22,756 by trust here, #1,076 by citations
- Statistical and Nonlinear Physics — 26 citations into it; #408 of 10,127 by trust here, #396 by citations
- Statistics and Probability — 23 citations into it; #2,753 of 12,932 by trust here, #4,253 by citations
- Economics and Econometrics — 15 citations into it
- Management Science and Operations Research — 13 citations into it
- Epidemiology — 12 citations into it; #99 of 2,148 by trust here, #1,026 by citations
- Applied Psychology — 9 citations into it
- Safety Research — 9 citations into it; #210 of 5,829 by trust here, #330 by citations
Whom Matthew J. Salganik trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Douglas D. Heckathorn
- Duncan J. Watts
- Mark Newman
- Lynne Stokes
- Peter Sheridan Dodds
- Erik M. Volz
- Ulf-Dietrich Reips
- Linda J. Skitka
- Winter A. Mason
- Thomas A. DiPrete
Who trusts Matthew J. Salganik overall
- Kristina Lerman
- Andrés Abeliuk
- Tad Hogg
- Pascal Van Hentenryck
- Duncan J. Watts
- Krista Gile
- Gregory Stoddard
- Mirva Peltoniemi
- Gerardo Berbeglia
- Aniket Kittur
Papers from Matthew J. Salganik's perspective
Ordered by how strongly the researchers Matthew J. Salganik trusts endorse each paper. Same corpus, a different order for every researcher.
- Collective dynamics of ‘small-world’ networks
- Random graphs with arbitrary degree distributions and their applications. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- The Structure and Function of Complex Networks
- Assortative mixing in networks. (Physical Review Letters)
- Networks, Dynamics, and the Small‐World Phenomenon1
- An Experimental Study of Search in Global Social Networks (Science)
- Respondent-driven sampling II: deriving valid population estimates from chain-referral samples of hi
- Numerical Recipes in C: The Art of Scientific Computing
- Book-Review - Numerical Recipes in Pascal - the Art of Scientific Computing
- Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market
Their papers
- Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market (2006) — 2,129 citations
- Web-based experiments for the study of collective social dynamics in cultural markets (2009) — 134 citations
- Integrating explanation and prediction in computational social science (2021) — 302 citations
- Variance Estimation, Design Effects, and Sample Size Calculations for Respondent-Driven Sampling (2006) — 443 citations
- Leading the Herd Astray: An Experimental Study of Self-Fulfilling Prophecies in an Artificial Cultural Market (2008) — 276 citations
- 5. Sampling and Estimation in Hidden Populations Using Respondent-Driven Sampling (2004) — 1,271 citations
- Computational social science: Obstacles and opportunities (2020) — 365 citations
- Assessing respondent-driven sampling (2010) — 375 citations