Comparison of power-law exponents (after negating) of component size distributions of actual and simulated networks over the years.

Sample network topologies: (a) Barabasi Network with 100 nodes (power-law exponent equal to 1); (b) Erdös-Rényi network, 100 nodes and average degree () egual to 0.92.

Marco Grimaldi (336392)
Roberto Visintainer (322607)
Giuseppe Jurman (122705)

February 2013

Sample network topologies: (a) Barabasi Network with 100 nodes (power-law exponent equal to 1); ...

(Color online) Statistical properties of the network size N(t) (a) and the corresponding network core sizes n(t) (b), as well as the relative growth rate p(t) (c).

Jian-Guo Liu (535164)
Zhuo-Ming Ren (562627)
Qiang Guo (218747)
Duan-Bing Chen (478415)

August 2014

(a) The growing tendency of the size N(t) of the FL and FW networks obey an exponen...

(Color online) Statistical properties of the network size N(t) (a) and the corresponding network core sizes n(t) (b), as well as the relative growth rate p(t) (c).

Jian-Guo Liu (535164)
Zhuo-Ming Ren (562627)
Qiang Guo (218747)
Duan-Bing Chen (478415)

August 2014

(a) The growing tendency of the size N(t) of the FL and FW networks obey an exponential fo...

Comparison of power-law exponents (after negating) of degree distributions of actual and simulated networks over the years.

Srayan Datta (4885111)
Eytan Adar (6156)

February 2018

The thin blue lines represent the exponent values for 100 simulated networks and the thick red li...

Comparison of tree depth distributions of actual and simulated networks.

Srayan Datta (4885111)
Eytan Adar (6156)

February 2018

The thin blue lines represent the 100 simulated networks and the thick red line represent the act...

Scale-free networks well done

Voitalov, Ivan
van der Hoorn, Pim
van der Hofstad, Remco
Krioukov, Dmitri

October 2019

We bring rigor to the vibrant activity of detecting power laws in empirical degree distributions in ...

Scale-free networks well done

Voitalov, Ivan
van der Hoorn, WLF (Pim)
Hofstad, RW Remco van der
Krioukov, Dmitri

January 2019

We bring rigor to the vibrant activity of detecting power laws in empirical degree distributions in ...

Distributions of the largest component size and density as a function of network size and concurrency: In this figure we reproduce some of the information in Figure 1 for networks of size 100, 200 and 500.

Nicole Bohme Carnegie (310082)
Martina Morris (310085)

February 2013

The top row again shows histograms of the momentary degree distribution for networks at mean degr...

Degree distributions.

S. M. Hadi Hosseini (283371)
Fumiko Hoeft (43900)
Shelli R. Kesler (316018)

February 2013

The log-log plot of cumulative degree distributions of ALL (A) and CON (B) networks thresholded a...

Network density versus network size.

Shade T. Shutters (317216)
José Lobo (3195591)
Rachata Muneepeerakul (175153)
Deborah Strumsky (237999)
Charlotta Mellander (817541)
Matthias Brachert (5180888)
Teresa Farinha (5180885)
Luis M. A. Bettencourt (5180882)

May 2018

Among cities in the six countries studied, the density of a city’s occupational network increases...

Avalanche size (A) and duration (B) distributions are shown for the network with , and (circles), 3.0 (squares) and 3.7 (triangles).

Silvia Scarpetta (424364)
Antonio de Candia (424365)

June 2013

Solid lines are power law best fits of the data in the intervals for the sizes and 1 ms 23 ms ...

The power law-like distribution of CICs.

Jun Guo (85069)
Hanliang Guo (528410)
Zhanyi Wang (528411)

February 2014

CICs greater than 1.0E-6 are present in a power law-like distribution; specifically, the logarith...

Network density versus (effective) block size on the logarithmic scale.

Segun Goh (531106)
Keumsook Lee (531107)
MooYoung Choi (531108)
Jean-Yves Fortin (531109)

March 2014

Red circles and blue squares represent the data in the box and node renormalization schemes, resp...

Degree distributions.

Martial L. Ndeffo Mbah (326538)
Jingzhou Liu (115526)
Chris T. Bauch (119485)
Yonas I. Tekel (326539)
Jan Medlock (42455)
Lauren Ancel Meyers (27605)
Alison P. Galvani (42462)

February 2013

The proportion of the population with each given degree are different for a Poisson network (red ...

Rentian scaling analysis of the distribution networks.

Lia Papadopoulos (5727941)
Pablo Blinder (269181)
Henrik Ronellenfitsch (839941)
Florian Klimm (544145)
Eleni Katifori (159700)
David Kleinfeld (72230)
Danielle S. Bassett (215337)

September 2018

(A,B) Examples of log m vs. log n computed from a topological partitioning of a network from the myc...

Sample network topologies: (a) Barabasi Network with 100 nodes (power-law exponent equal to 1); (b) Erdös-Rényi network, 100 nodes and average degree () egual to 0.92.

Marco Grimaldi (336392)
Roberto Visintainer (322607)
Giuseppe Jurman (122705)

February 2013

Sample network topologies: (a) Barabasi Network with 100 nodes (power-law exponent equal to 1); ...

(Color online) Statistical properties of the network size N(t) (a) and the corresponding network core sizes n(t) (b), as well as the relative growth rate p(t) (c).

Jian-Guo Liu (535164)
Zhuo-Ming Ren (562627)
Qiang Guo (218747)
Duan-Bing Chen (478415)

August 2014

(a) The growing tendency of the size N(t) of the FL and FW networks obey an exponen...

(Color online) Statistical properties of the network size N(t) (a) and the corresponding network core sizes n(t) (b), as well as the relative growth rate p(t) (c).

Jian-Guo Liu (535164)
Zhuo-Ming Ren (562627)
Qiang Guo (218747)
Duan-Bing Chen (478415)

August 2014

(a) The growing tendency of the size N(t) of the FL and FW networks obey an exponential fo...

Comparison of power-law exponents (after negating) of degree distributions of actual and simulated networks over the years.

Srayan Datta (4885111)
Eytan Adar (6156)

February 2018

The thin blue lines represent the exponent values for 100 simulated networks and the thick red li...

Comparison of tree depth distributions of actual and simulated networks.

Srayan Datta (4885111)
Eytan Adar (6156)

February 2018

The thin blue lines represent the 100 simulated networks and the thick red line represent the act...

Scale-free networks well done

Voitalov, Ivan
van der Hoorn, Pim
van der Hofstad, Remco
Krioukov, Dmitri

October 2019

We bring rigor to the vibrant activity of detecting power laws in empirical degree distributions in ...

Scale-free networks well done

Voitalov, Ivan
van der Hoorn, WLF (Pim)
Hofstad, RW Remco van der
Krioukov, Dmitri

January 2019

We bring rigor to the vibrant activity of detecting power laws in empirical degree distributions in ...

Distributions of the largest component size and density as a function of network size and concurrency: In this figure we reproduce some of the information in Figure 1 for networks of size 100, 200 and 500.

Nicole Bohme Carnegie (310082)
Martina Morris (310085)

February 2013

The top row again shows histograms of the momentary degree distribution for networks at mean degr...

Degree distributions.

S. M. Hadi Hosseini (283371)
Fumiko Hoeft (43900)
Shelli R. Kesler (316018)

February 2013

The log-log plot of cumulative degree distributions of ALL (A) and CON (B) networks thresholded a...

Network density versus network size.

Shade T. Shutters (317216)
José Lobo (3195591)
Rachata Muneepeerakul (175153)
Deborah Strumsky (237999)
Charlotta Mellander (817541)
Matthias Brachert (5180888)
Teresa Farinha (5180885)
Luis M. A. Bettencourt (5180882)

May 2018

Among cities in the six countries studied, the density of a city’s occupational network increases...

Avalanche size (A) and duration (B) distributions are shown for the network with , and (circles), 3.0 (squares) and 3.7 (triangles).

Silvia Scarpetta (424364)
Antonio de Candia (424365)

June 2013

Solid lines are power law best fits of the data in the intervals for the sizes and 1 ms 23 ms ...

The power law-like distribution of CICs.

Jun Guo (85069)
Hanliang Guo (528410)
Zhanyi Wang (528411)

February 2014

CICs greater than 1.0E-6 are present in a power law-like distribution; specifically, the logarith...

Network density versus (effective) block size on the logarithmic scale.

Segun Goh (531106)
Keumsook Lee (531107)
MooYoung Choi (531108)
Jean-Yves Fortin (531109)

March 2014

Red circles and blue squares represent the data in the box and node renormalization schemes, resp...

Degree distributions.

Martial L. Ndeffo Mbah (326538)
Jingzhou Liu (115526)
Chris T. Bauch (119485)
Yonas I. Tekel (326539)
Jan Medlock (42455)
Lauren Ancel Meyers (27605)
Alison P. Galvani (42462)

February 2013

The proportion of the population with each given degree are different for a Poisson network (red ...

Rentian scaling analysis of the distribution networks.

Lia Papadopoulos (5727941)
Pablo Blinder (269181)
Henrik Ronellenfitsch (839941)
Florian Klimm (544145)
Eleni Katifori (159700)
David Kleinfeld (72230)
Danielle S. Bassett (215337)

September 2018

(A,B) Examples of log m vs. log n computed from a topological partitioning of a network from the myc...

Sample network topologies: (a) Barabasi Network with 100 nodes (power-law exponent equal to 1); (b) Erdös-Rényi network, 100 nodes and average degree () egual to 0.92.

Marco Grimaldi (336392)
Roberto Visintainer (322607)
Giuseppe Jurman (122705)

February 2013

Sample network topologies: (a) Barabasi Network with 100 nodes (power-law exponent equal to 1); ...

(Color online) Statistical properties of the network size N(t) (a) and the corresponding network core sizes n(t) (b), as well as the relative growth rate p(t) (c).

Jian-Guo Liu (535164)
Zhuo-Ming Ren (562627)
Qiang Guo (218747)
Duan-Bing Chen (478415)

August 2014

(a) The growing tendency of the size N(t) of the FL and FW networks obey an exponen...

(Color online) Statistical properties of the network size N(t) (a) and the corresponding network core sizes n(t) (b), as well as the relative growth rate p(t) (c).

Jian-Guo Liu (535164)
Zhuo-Ming Ren (562627)
Qiang Guo (218747)
Duan-Bing Chen (478415)

August 2014

(a) The growing tendency of the size N(t) of the FL and FW networks obey an exponential fo...

Comparison of power-law exponents (after negating) of component size distributions of actual and simulated networks over the years.

Abstract

Extracted data

Comparison of power-law exponents (after negating) of component size distributions of actual and simulated networks over the years.

Abstract

Extracted data

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