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. 23.3% 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%
- 12k per year above
- Top-10% rate
- 23.3% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +8% the tick is no change
Which countries lead Complex Network Analysis Techniques research?
By volume, China and the United States publish the most (3.8k and 1.3k works in 2022–2025).
By volume, 2022–2025
- 1 China 3.8k works
- 2 United States 1.3k works
- 3 India 689 works
- 4 Italy 374 works
- 5 United Kingdom 295 works
- 6 Germany 265 works
- 7 France 264 works
- 8 Japan 260 works
- 9 Australia 178 works
- 10 Iran 163 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.
Shares of the rows listed above, not of the whole node.
Which institutions lead Complex Network Analysis Techniques research?
By volume in 2022–2025, National University of Defense Technology publishes the most Complex Network Analysis Techniques research, followed by University of Electronic Science and Technology of China and Wuhan University.
By volume, 2022–2025
- 1 National University of Defense Technology China 91 works
- 2 University of Electronic Science and Technology of China China 60 works
- 3 Wuhan University China 55 works
- 4 Beijing University of Posts and Telecommunications China 51 works
- 5 Tsinghua University China 47 works
- 6 Xidian University China 45 works
- 7 Beihang University China 45 works
- 8 Northwestern Polytechnical University China 42 works
- 9 Fudan University China 41 works
- 10 Sun Yat-sen University China 39 works
Who are the leading researchers in Complex Network Analysis Techniques?
The most-cited researchers publishing on Complex Network Analysis Techniques include H. Vincent Poor, Philip S. Yu and Alex Pentland.
- 1 H. Vincent Poor 9.5k citations
- 2 Philip S. Yu 6.6k citations
- 3 Alex Pentland 6k citations
- 4 Hans‐Peter Kriegel 5.7k citations
- 5 H. Eugene Stanley 5.5k citations
- 6 Guanrong Chen 5.4k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Complex Network Analysis Techniques research done?
The largest centres of Complex Network Analysis Techniques research in 2022–2025 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, 2022–2025
Where it is the local speciality
- XiningCN · 25.1 works9.0×
Location quotient: how much more of its research is in Complex Network Analysis Techniques than the world average.
Where is the best place to study Complex Network Analysis Techniques?
Among universities, judged by research, Chongqing University of Posts and Telecommunications, Central European University and National University of Defense Technology 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.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Chongqing University of Posts and Telecommunications China | 67.3 | 28.7% | 12.4× | 34 | +67.7% |
| 2 | Central European University Austria | 62.6 | 33.2% | 20.1× | 10 | — |
| 3 | National University of Defense Technology China | 62.1 | 17.3% | 12.1× | 91 | +17.7% |
| 4 | University of Electronic Science and Technology of China China | 61.4 | 29.7% | 5.6× | 60 | +70.9% |
| 5 | Shanxi University China | 61.3 | 22.0% | 8.3× | 21 | +382.0% |
| 6 | Lanzhou University of Technology China | 59.7 | 14.6% | 9.4× | 30 | +189.2% |
| 7 | University of Shanghai for Science and Technology China | 58.2 | 29.2% | 8.3× | 35 | -15.4% |
| 8 | Jiangsu University China | 58.0 | 31.0% | 3.6× | 26 | +220.7% |
| 9 | Southwestern University of Finance and Economics China | 57.0 | 34.7% | 8.4× | 12 | +13.3% |
| 10 | Communication University of China China | 56.8 | 10.6% | 21.9× | 22 | +217.2% |
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 Complex Network Analysis Techniques research growing?
Output in 2018–2022 was 8% higher than in 2013–2017, peaking in 2018. The fastest-growing topics are Complex Network Analysis Techniques.
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.