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Topic · Statistical and Nonlinear Physics

Complex Network Analysis Techniques

Complex Network Analysis Techniques is a research topic within Statistical and Nonlinear Physics. Science Explorer counts 51k research works in it since 1951. 9.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the statistical mechanics and dynamics of complex networks, exploring topics such as community structure, social influence, scale-free networks, epidemic spreading, centrality measures, random graphs, influence maximization, and small-world networks.

  • Community Structure
  • Network Dynamics
  • Social Influence
  • Scale-Free Networks
  • Epidemic Spreading
  • Centrality Measures
  • Random Graphs
  • Influence Maximization
  • Small-World Networks
  • Network Analysis
Research works
51k
fractional, since 1951
In the world top 10%
5k
per year above
Top-10% rate
9.8%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-10%
the tick is no change
Largest producer
China
51% of the 10 largest, 2022-now
Complex Network Analysis Techniques

Which countries lead Complex Network Analysis Techniques research?

By volume, China and the United States publish the most (4.2k and 1.4k works in 2022-now).

By volume, 2022-now

  1. 1 China 4.2k works
  2. 2 United States 1.4k works
  3. 3 India 767 works
  4. 4 Italy 401 works
  5. 5 United Kingdom 320 works
  6. 6 Germany 287 works
  7. 7 France 284 works
  8. 8 Japan 282 works
  9. 9 Australia 192 works
  10. 10 Iran 174 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.

China: 50.8%United States: 16.8%India: 9.2%Italy: 4.8%6 others listed: 18.4%51%largest
China4,237 · 50.8%United States1,404 · 16.8%India767 · 9.2%Italy401 · 4.8%6 others listed1,538 · 18.4%

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

Which institutions lead Complex Network Analysis Techniques research?

By volume in 2022-now, Centre National de la Recherche Scientifique publishes the most Complex Network Analysis Techniques research, followed by National University of Defense Technology and Chinese Academy of Sciences.

By volume, 2022-now

  1. 1 Centre National de la Recherche ScientifiqueFrance 103 works
  2. 2 National University of Defense TechnologyChina 100 works
  3. 3 Chinese Academy of SciencesChina 90 works
  4. 4 University of Electronic Science and Technology of ChinaChina 64 works
  5. 5 Wuhan UniversityChina 59 works
  6. 6 Beijing University of Posts and TelecommunicationsChina 54 works
  7. 7 Tsinghua UniversityChina 51 works
  8. 8 Xidian UniversityChina 48 works
  9. 9 Beihang UniversityChina 47 works
  10. 10 Northwestern Polytechnical UniversityChina 47 works

Who are the leading researchers in Complex Network Analysis Techniques?

The most-cited researchers publishing on Complex Network Analysis Techniques include Yoshua Bengio, Rob Knight and Karl John Friston.

  1. 1 Yoshua Bengio Canada 476k citations
  2. 2 Rob Knight United States 468k citations
  3. 3 Karl John Friston United Kingdom 310k citations
  4. 4 Xiaogang Wang China 260k citations
  5. 5 Yann LeCun United States 256k citations
  6. 6 Mark Gerstein United States 250k citations
  7. 7 Joshua A. Salomon United States 235k citations
  8. 8 Peter M. Bentler United States 233k citations
  9. 9 Kai You Wang China 224k citations

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

What are the most cited papers in Complex Network Analysis Techniques?

The most cited paper in Complex Network Analysis Techniques is "The Strength of Weak Ties" (Mark S. Granovetter, 1973), with 39,087 citations. Next come "Emergence of Scaling in Random Networks" (36,811) and "Fast unfolding of communities in large networks" (21,858).

Most cited papers
#PaperReleasedCitations
1 The Strength of Weak Ties Mark S. Granovetter · American Journal of Sociology May 1973 39,087
2 Emergence of Scaling in Random Networks Albert-Ĺaszló Barabási, Réka Albert · Science Open access 15 Oct 1999 36,811
3 Fast unfolding of communities in large networks Vincent D. Blondel, Jean‐Loup Guillaume, Renaud Lambiotte et al. · Journal of Statistical Mechanics Theory and Experiment Open access Oct 2008 21,858
4 Software survey: VOSviewer, a computer program for bibliometric mapping Nees Jan van Eck, Ludo Waltman · Scientometrics Open access 30 Dec 2009 21,265
5 Statistical mechanics of complex networks Réka Albert, Albert-Ĺaszló Barabási · Reviews of Modern Physics Open access 30 Jan 2002 20,746
All 99 most cited papers, with filters and sorting

Where is Complex Network Analysis Techniques research done?

The largest centres of Complex Network Analysis Techniques research in 2022-now are Beijing (China), Shanghai (China), Nanjing (China) and Xi'an (China). Among places with at least 20 works in it, it is an unusually large share of all research in Xining.

Largest cities, 2022-now

  1. 1 BeijingChina 739 works
  2. 2 ShanghaiChina 299 works
  3. 3 NanjingChina 215 works
  4. 4 Xi'anChina 215 works
  5. 5 WuhanChina 195 works
  6. 6 ChengduChina 175 works
  7. 7 ChangshaChina 162 works
  8. 8 HangzhouChina 158 works
  9. 9 GuangzhouChina 150 works
  10. 10 ChongqingChina 126 works

Where it is the local speciality

  1. XiningCN · 28.3 works8.9×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Complex Network Analysis Techniques than the world average.

See Complex Network Analysis Techniques on the map

Where is the best place to study Complex Network Analysis Techniques?

Among universities, judged by research, Central European University, University of Electronic Science and Technology of China and Jiangsu University score highest, combining citation excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%10%20%30%mean 20.53%fractional works in this field (log) →share of work in the world top 10% →Jiangsu UniversityCentral European Uni…Southwestern Univers…University of Electr…
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Citation excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Central European UniversityAustria 67.825.8%22.0×10 +663.5%
2University of Electronic Science and Technology of ChinaChina 64.421.7%6.1×64 -13.2%
3Jiangsu UniversityChina 62.326.3%4.3×32 -6.0%
4Southwestern University of Finance and EconomicsChina 61.925.0%9.5×13 +102.8%
5Southwest UniversityChina 61.621.1%5.5×28 +60.9%
6National University of Defense TechnologyChina 61.113.3%13.9×100 +11.2%
7Northwestern Polytechnical UniversityChina 61.016.3%4.4×47 +34.1%
8University of Shanghai for Science and TechnologyChina 61.018.3%9.5×38 +50.6%
9Hong Kong Baptist UniversityChina 59.722.6%8.4×14 +8.3%
10Anhui UniversityChina 59.314.9%7.2×30 +36.0%

Universities only. The score blends citation excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Complex Network Analysis Techniques, country by country

Is Complex Network Analysis Techniques research growing?

Output in 2022-2025 was 10% lower than in 2018-2021, peaking in 2018.

still counting19801990200020102020
grewheldshrank

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

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Complex Network Analysis Techniques as a percentage of every work published that year, 0.043% in 2024.

still counting0.025%0.050%0.075%Complex Network Analysis Techniques0.039% in 202519801990200020102020

Fractional works of Complex Network Analysis Techniques over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Complex Network Analysis Techniques9.9% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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