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1
Emergence of tempered preferential attachment from optimization
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Emergence of tempered preferential attachment from optimization

D'Souza, Raissa M ; Borgs, Christian ; Chayes, Jennifer T ; Berger, Noam ; Kleinberg, Robert D

Proceedings of the National Academy of Sciences - PNAS, 2007-04, Vol.104 (15), p.6112-6117 [Periódico revisado por pares]

United States: National Academy of Sciences

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2
Preferential attachment in sexual networks
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Preferential attachment in sexual networks

de Blasio, Birgitte Freiesleben ; Svensson, Åke ; Liljeros, Fredrik

Proceedings of the National Academy of Sciences - PNAS, 2007-06, Vol.104 (26), p.10762-10767 [Periódico revisado por pares]

United States: National Academy of Sciences

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3
Scale-free movement patterns in termites emerge from social interactions and preferential attachments
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Scale-free movement patterns in termites emerge from social interactions and preferential attachments

Paiva, Leticia R ; Marins, Alessandra ; Cristaldo, Paulo F ; Ribeiro, Danilo Miranda ; Alves, Sidiney G ; Reynolds, Andy M ; DeSouza, Og ; Miramontes, Octavio

Proceedings of the National Academy of Sciences - PNAS, 2021-05, Vol.118 (20), p.1 [Periódico revisado por pares]

United States: National Academy of Sciences

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4
Detecting different topologies immanent in scale-free networks with the same degree distribution
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Detecting different topologies immanent in scale-free networks with the same degree distribution

Tsiotas, Dimitrios ; Τσιώτας, Δημήτριoς

Proceedings of the National Academy of Sciences - PNAS, 2019-04, Vol.116 (14), p.6701-6706 [Periódico revisado por pares]

United States: National Academy of Sciences

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5
Prediction and prevention of disproportionally dominant agents in complex networks
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Prediction and prevention of disproportionally dominant agents in complex networks

Lera, Sandro Claudio ; Pentland, Alex ; Sornette, Didier

Proceedings of the National Academy of Sciences - PNAS, 2020-11, Vol.117 (44), p.27090-27095 [Periódico revisado por pares]

United States: National Academy of Sciences

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6
Field experiments of success-breeds-success dynamics
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Field experiments of success-breeds-success dynamics

van de Rijt, Arnout ; Kang, Soong Moon ; Restivo, Michael ; Patil, Akshay

Proceedings of the National Academy of Sciences - PNAS, 2014-05, Vol.111 (19), p.6934-6939 [Periódico revisado por pares]

United States: National Academy of Sciences

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7
Nonuniversal power law scaling in the probability distribution of scientific citations
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Nonuniversal power law scaling in the probability distribution of scientific citations

Peterson, George J. ; Pressé, Steve ; Dill, Ken A.

Proceedings of the National Academy of Sciences - PNAS, 2010-09, Vol.107 (37), p.16023-16027 [Periódico revisado por pares]

United States: National Academy of Sciences

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8
The Growth of Business Firms: Theoretical Framework and Empirical Evidence
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The Growth of Business Firms: Theoretical Framework and Empirical Evidence

Dongfeng Fu ; Pammolli, Fabio ; Buldyrev, S. V. ; Riccaboni, Massimo ; Kaushik Matia ; Yamasaki, Kazuko ; Stanley, H. Eugene

Proceedings of the National Academy of Sciences - PNAS, 2005-12, Vol.102 (52), p.18801-18806 [Periódico revisado por pares]

United States: National Academy of Sciences

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9
The Size Variance Relationship of Business Firm Growth Rates
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The Size Variance Relationship of Business Firm Growth Rates

Riccaboni, Massimo ; Pammolli, Fabio ; Buldyrev, Sergey V. ; Ponta, Linda ; Stanley, H. E.

Proceedings of the National Academy of Sciences - PNAS, 2008-12, Vol.105 (50), p.19595-19600 [Periódico revisado por pares]

United States: National Academy of Sciences

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10
Power-law distribution of degree–degree distance: A better representation of the scale-free property of complex networks
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Power-law distribution of degree–degree distance: A better representation of the scale-free property of complex networks

Zhou, Bin ; Meng, Xiangyi ; Stanley, H. Eugene

Proceedings of the National Academy of Sciences - PNAS, 2020-06, Vol.117 (26), p.14812-14818 [Periódico revisado por pares]

United States: National Academy of Sciences

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