The human disease network
- K. Goh, M. Cusick, D. Valle, B. Childs, M. Vidal, A. Barabasi
- BiologyProceedings of the National Academy of Sciences
- 22 May 2007
It is found that essential human genes are likely to encode hub proteins and are expressed widely in most tissues, suggesting that disease genes also would play a central role in the human interactome, and that diseases caused by somatic mutations should not be peripheral.
Burstiness and memory in complex systems
- K. Goh, A. Barabasi
- Computer Science
- 25 October 2006
It is found that for human dynamics memory is weak, and the bursty character is due to the changes in the interevent time distribution, and it is shown that current models lack in their ability to reproduce the activity pattern observed in real systems, opening up avenues for future work.
Universal behavior of load distribution in scale-free networks.
It is conjecture that the load exponent is a universal quantity to characterize scale-free networks and valid for both undirected and directed cases.
Modeling bursts and heavy tails in human dynamics
- A. Vázquez, J. G. Oliveira, Z. Dezsö, K. Goh, I. Kondor, A. Barabasi
- Computer SciencePhysical review. E, Statistical, nonlinear, and…
- 12 October 2005
It is shown that the bursty nature of human behavior is a consequence of a decision based queuing process: when individuals execute tasks based on some perceived priority, the timing of the tasks will be heavy tailed, most tasks being rapidly executed, while a few experiencing very long waiting times.
Drug—target network
- Muhammed A. Yıldırım, K. Goh, M. Cusick, A. Barabasi, M. Vidal
- BiologyNature Biotechnology
- 1 October 2007
A bipartite graph composed of US Food and Drug Administration–approved drugs and proteins linked by drug–target binary associations is built, showing an overabundance of 'follow-on' drugs, that is, drugs that target already targeted proteins.
Classification of scale-free networks
- K. Goh, E. Oh, Hawoong Jeong, B. Kahng, Doochul Kim
- Computer ScienceProceedings of the National Academy of Sciences…
- 11 May 2002
It is shown that the betweenness centrality displays a power-law distribution with an exponent η, which is robust, and is used to classify the scale-free networks, including two universality classes with η ≈ 2.2(1) and 2.0, respectively.
Network robustness of multiplex networks with interlayer degree correlations.
- Byungjoon Min, Su Do Yi, Kyu-Min Lee, K. Goh
- Computer SciencePhysical review. E, Statistical, nonlinear, and…
- 4 July 2013
It is found that correlated coupling can affect the structural robustness of multiplex networks in diverse fashion, especially for maximally correlated duplex networks.
Sandpile on scale-free networks.
This work investigates the avalanche dynamics of the Bak-Tang-Wiesenfeld sandpile model on scale-free (SF) networks, finding that the avalanche size distribution follows a power law with an exponent tau.
Multiplexity-facilitated cascades in networks.
- C. Brummitt, Kyu-Min Lee, K. Goh
- Computer SciencePhysical review. E, Statistical, nonlinear, and…
- 1 December 2011
This work generalizes the threshold cascade model to multiplex networks, in which a node activates if a sufficiently large fraction of neighbors in any layer are active, and shows that both combining layers and splitting a network into layers facilitate cascades.
Correlated multiplexity and connectivity of multiplex random networks
- Kyu-Min Lee, Jung Yeol Kim, Won-kuk Cho, K. Goh, I.-M. Kim
- Computer Science
- 31 October 2011
It is demonstrated that the correlated multiplexity can drastically affect the properties of a giant component in the network when the degrees of a node for different interactions in a duplex Erdős–Rényi network are maximally correlated.
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