Weak links : stabilizers of complex systems from proteins to social networks
By Peter Csermely. 2006
211 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Geography, Planning and Development, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/f610134176de1ca30b4a4d701bcf4e7f99067d62
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Albert-László Barabási
- Yi-Cheng Zhang
- Jukka-Pekka Onnela
- Linyuan Lu
- H. Eugene Stanley
- Tao Zhou
- Duanbing Chen
- Qian-Ming Zhang
In Geography, Planning and Development
In Sociology and Political Science
- Albert-László Barabási
- P. C. Ruiter
- Yi-Cheng Zhang
- Linyuan Lu
- J. Saramaki
- H. Eugene Stanley
- Tao Zhou
- Duanbing Chen
Citations in the corpus
- Vital nodes identification in complex networks (2016, background): “, communities [7] and motifs [8]), and further to uncovering the explicit roles played by such microscopic elements as individual nodes [9] and links [10].”
- Structure and tie strengths in mobile communication networks (2006, background): “Finally, the much studied strength of weak ties hypothesis (18, 19, 20) states that the strength of a tie between A and B increases with the overlap of their friendship circles, resulting in the importance of weak ties in connecting communities.”
- Link prediction in weighted networks: The role of weak ties (2010, result): “These unexpected results remind us of the well-known WeakTies Theory [19,20], which states that people usually obtain useful information or opportunities through the acquaintances but not their close friends, namely the weak ties in their friendship networks play a significant role.”
- Food web stability and weighted connectance: the complexity-stability debate revisited (2016, background): “However, it is very common in food webs, or even in networks in general (Csermely 2006), that material fluxes associated with the links (i.e. feeding rates) vary considerably in magnitude.”
- The H-index of a network node and its relation to degree and coreness (2016, background): “T he focus of network science research has been shifting from discovering macroscopic statistical regularities 1–4 to uncovering the role played by such microscopic elements as nodes, links and motifs in the structure and dynamics of the system 5–10 .”