Network science

By Albert-László Barabási. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2016

774 citations recorded by the source corpus.

Subfields: Communication, Information Systems, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/9c885e6636cea34481f616f726c58dc2c1bd98f4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

1. Daqing Li
2. Boleslaw K. Szymanski
3. Xueming Liu
4. H. Eugene Stanley
5. Jianxi Gao
6. Manqing Ma

In Information Systems

1. Daqing Li
2. Boleslaw K. Szymanski
3. Tom Mens
4. Xueming Liu
5. H. Eugene Stanley
6. Jianxi Gao
7. Manqing Ma

In Statistical and Nonlinear Physics

1. Jianxi Gao
2. Boleslaw K. Szymanski
3. Daqing Li
4. Xueming Liu
5. H. Eugene Stanley
6. Manqing Ma
7. Ladislav Kristoufek
8. Mark Newman

Citations in the corpus

• An empirical comparison of dependency network evolution in seven software packaging ecosystems (2017, background): “l. 10.2 Complex networks Complex networks are networks or graphs that contain emerging structural properties that typically do not occur in simple network structures such as lattices or random graphs [4]. The networks of many real-world systems (e.g. 34 Alexandre Decan et al. the brain, social netwo”
• Network resilience (2020, methodology): “with changes and crisises [1, 2, 3, 4].”