Some papers on biological networks that are of importance and have broad implications, in one person's view.

(A power-law based NK model is studied, which shows remarkable improvement over the original NK model. )

• Wiuf C, Brameier M, Hagberg O, Stumpf MP., A likelihood approach to analysis of network data. Proc Natl Acad Sci U S A. 2006 May 16;103(20):7566-70. (This paper uses a generative approach to describe network growth based on gene duplication. The implementation is at its infant stage, but the approach of this work is the first of its kind.)

(A power-law based NK model is studied, which shows remarkable improvement over the original NK model. )

• Barabasi AL, Albert R., Emergence of scaling in random networks. Science. 1999 Oct 15;286(5439):509-12. \\

• S.A. Kauffman, Metabolic stability and epigenesis in randomly constructued genetic nets. Journal of Theoretic Biology. 1969 22, 437-467.
  (This paper proposed the NK model, which has led to a flood of publications to study the property of this random network model. Recent NK model based power-law distribution has been desmonstrated to more closely resemble real biological networks.)

• M. Aldana and Phillipe Cluzel, A natural Class of Robust networks, Proceedings of the National Academy of Sciences, 100 (15), July 2003, 8710-8714.
  (A power-law based NK model is studied in this paper, which shows remarkable improvement over the original NK model. )

I list some important papers here with some comments.

I list some important papers here amd add some comments to make this practice less mundane.

• Barabasi AL, Albert R. Emergence of scaling in random networks. Science. 1999 Oct 15;286(5439):509-12. \\

• S.A. Kauffman Metabolic stability and epigenesis in randomly constructued genetic nets. Journal of Theoretic Biology. 1969 22, 437-467.
  (This paper proposed the NK model, which has led to a flood of publications to study the property of this random network model. Recent NK model based power-law distribution has been desmonstrated to more closely resemble real biological networks.)

I list some important papers here. I add some comments to make this practice less mundane.

I list some important papers here. I add some comments to make this effort less mundane.

(This paper proposed the preferential attachment growth model to explain the power-law distribution of the connectivities in several complex networks. It turns out later that only linear model of preferential attachment can result in power-law distribution.)

> Barabasi AL, Albert R. Emergence of scaling in random networks. Science. 1999 Oct 15;286(5439):509-12.

Barabasi AL, Albert R. Emergence of scaling in random networks. Science. 1999 Oct 15;286(5439):509-12. (This paper proposed the preferential attachment growth model to explain the power-law distribution of the connectivities in several complex networks.)