Science Explorer Interactive view Map

Social Capital and Networks

Social Capital and Networks is a research topic within Sociology and Political Science. Science Explorer counts 14k research works in it since 1950. 38.6% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the concept of social capital, trust, and community networks, examining their implications for civic engagement, inequality, diversity, and economic development. It delves into the role of social capital in fostering social cohesion and building civil society, with a focus on the impact of trust on various aspects of community life.

  • Social Capital
  • Trust
  • Community
  • Networks
  • Civic Engagement
  • Inequality
  • Diversity
  • Civil Society
  • Economic Development
  • Social Cohesion
Research works
14k
fractional, since 1950
In the world top 10%
5.4k
per year above
Top-10% rate
38.6%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-5%
the tick is no change

Which countries lead Social Capital and Networks research?

By volume, the United States and China publish the most (421 and 318 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 421 works
  2. 2 China 318 works
  3. 3 United Kingdom 124 works
  4. 4 Germany 121 works
  5. 5 Italy 77 works
  6. 6 Indonesia 57 works
  7. 7 Netherlands 53 works
  8. 8 Canada 52 works
  9. 9 Spain 51 works
  10. 10 Australia 51 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

United States: 31.8%China: 24.0%United Kingdom: 9.3%Germany: 9.1%6 others listed: 25.8%32%largest
United States421 · 31.8%China318 · 24.0%United Kingdom124 · 9.3%Germany121 · 9.1%6 others listed342 · 25.8%

Shares of the rows listed above, not of the whole node.

Which institutions lead Social Capital and Networks research?

By volume in 2022–2025, Renmin University of China publishes the most Social Capital and Networks research, followed by Sapienza University of Rome and Fudan University.

By volume, 2022–2025

  1. 1 Renmin University of China China 10 works
  2. 2 Sapienza University of Rome Italy 9 works
  3. 3 Fudan University China 9 works
  4. 4 Peking University China 8 works
  5. 5 Duke University United States 8 works
  6. 6 Michigan State University United States 8 works
  7. 7 National Research University Higher School of Economics Russia 8 works
  8. 8 Stanford University United States 8 works
  9. 9 University of Chicago United States 8 works
  10. 10 Chongqing University China 7 works

Who are the leading researchers in Social Capital and Networks?

The most-cited researchers publishing on Social Capital and Networks include Ronald S. Burt, Paul DiMaggio and Robert D. Putnam.

  1. 1 Ronald S. Burt 5.2k citations
  2. 2 Paul DiMaggio 3.2k citations
  3. 3 Robert D. Putnam 2.9k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Social Capital and Networks research done?

The largest centres of Social Capital and Networks research in 2022–2025 are Beijing (China), Shanghai (China), Moscow (Russia) and London (United Kingdom).

Largest cities, 2022–2025

  1. 1 Beijing China 64 works
  2. 2 Shanghai China 32 works
  3. 3 Moscow Russia 32 works
  4. 4 London United Kingdom 29 works
  5. 5 Hong Kong China 23 works
  6. 6 Seoul South Korea 22 works
  7. 7 Nanjing China 21 works
  8. 8 Wuhan China 21 works
  9. 9 Guangzhou China 19 works
  10. 10 Tokyo Japan 18 works
See Social Capital and Networks on the map

Where is the best place to study Social Capital and Networks?

Among universities, judged by research, Renmin University of China, Peking University and Michigan State University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%60%mean 36.5667%fractional works in this node (log) →share in the world top 10% →Renmin University of China: 10, 44.6%Peking University: 8, 47.9%Michigan State University: 8, 32.3%Fudan University: 8, 48.4%Duke University: 8, 29.5%Sapienza University of Rome: 9, 16.7%Fudan UniversityPeking UniversityRenmin University of…Michigan State Unive…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1Renmin University of China China 71.444.6%14.6×10 -53.3%
2Peking University China 47.947.9%2.6×8 -18.5%
3Michigan State University United States 43.032.3%5.4×8 +17.8%
4Fudan University China 42.448.4%3.6×8 -18.9%
5Duke University United States 38.029.5%5.6×8 +12.6%
6Sapienza University of Rome Italy 30.416.7%3.8×9 +42.2%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Social Capital and Networks research growing?

Output in 2018–2022 was 5% lower than in 2013–2017, peaking in 2015. The fastest-growing topics are Social Capital and Networks.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.