Power-Law Exponent for Exponential Growth Network
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Abstract
The question of the power-law exponent of exponential growth networks is studied here. In a discrete case, the degree distribution is defined as the probability distribution of the discrete variable. Based on this, the degree distribution of the pseudofractal scale-free web, an exponential growth network, is obtained. The power-law exponent ln3/ln2 is analyzed according to the maximum likelihood principle. It satisfies consistency and is good for small generations of the network. For many exponential growth networks, their power-law exponent needs to be tested. The work provides a new view on the power-law exponent of an exponential growth network.
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WANG Li-Na, CHEN Bin, ZANG Chen-Rui. Power-Law Exponent for Exponential Growth Network[J]. Chin. Phys. Lett., 2012, 29(8): 088902. DOI: 10.1088/0256-307X/29/8/088902
WANG Li-Na, CHEN Bin, ZANG Chen-Rui. Power-Law Exponent for Exponential Growth Network[J]. Chin. Phys. Lett., 2012, 29(8): 088902. DOI: 10.1088/0256-307X/29/8/088902
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WANG Li-Na, CHEN Bin, ZANG Chen-Rui. Power-Law Exponent for Exponential Growth Network[J]. Chin. Phys. Lett., 2012, 29(8): 088902. DOI: 10.1088/0256-307X/29/8/088902
WANG Li-Na, CHEN Bin, ZANG Chen-Rui. Power-Law Exponent for Exponential Growth Network[J]. Chin. Phys. Lett., 2012, 29(8): 088902. DOI: 10.1088/0256-307X/29/8/088902
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