Dimension scaling for Facebook and LinkedIn.

True scale-free networks hidden by finite size effects

Serafino M.
Cimini G.
Maritan A.
Rinaldo A.
Suweis S.
Banavar J. R.
Caldarelli G.

January 2021

We analyze about 200 naturally occurring networks with distinct dynamical origins to formally test w...

Scaling of Barabási-Albert networks with p = 0.

S. Konini (4715106)
E. J. Janse van Rensburg (4715103)

December 2017

Data on networks generated by the Barabási-Albert algorithm with p = 0. In each case 100 n...

(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...

The scale of the network data involved in our study varies over three orders of magnitude.

Anthony Bonato (345298)
David F. Gleich (625876)
Myunghwan Kim (625877)
Dieter Mitsche (625878)
Paweł Prałat (625879)
Yanhua Tian (625880)
Stephen J. Young (625881)

September 2014

We see similar scaling for both types of networks, but with slightly different offsets. For Faceb...

Dimensionality of Social Networks Using Motifs and Eigenvalues

Anthony Bonato (345298)
David F. Gleich (625876)
Myunghwan Kim (625877)
Dieter Mitsche (625878)
Paweł Prałat (625879)
Yanhua Tian (625880)
Stephen J. Young (625881)

September 2014

<div>We consider the dimensionality of social networks, and develop experiments aimed at predicti...

Dimensionality of social networks using motifs and eigenvalues

Anthony Bonato
David F. Gleich
Myunghwan Kim
Dieter Mitsche
Paweł Prałat
Yanhua Tian
Stephen J. Young

January 2014

We consider the dimensionality of social networks, and develop experiments aimed at predicting that ...

1Dimensionality of social networks using motifs and eigenvalues

Stephen J. Young

October 2016

We consider the dimensionality of social networks, and develop experiments aimed at predicting that ...

Facebook dimension at left, LinkedIn dimension at right.

Anthony Bonato (345298)
David F. Gleich (625876)
Myunghwan Kim (625877)
Dieter Mitsche (625878)
Paweł Prałat (625879)
Yanhua Tian (625880)
Stephen J. Young (625881)

September 2014

Each red dot (SVM) is the predicted dimension computed via graphlet features and a support vector...

Proceedings from Engagement Science: Theory and Methods: Insights from the Emergence API On the Topology of the Facebook Page Network

R. E. Slattery
R. R. Mchardy
R. Bairathi

August 2016

The Facebook Page Network (FPN) is a platform for Businesses, Public Figures and Organizations (BPOs...

The scalings between and across forums in three hourly networks, (A).

Lingfei Wu (453300)
Jiang Zhang (453299)
Min Zhao (66793)

August 2014

These three forums are the same as the forums presented in <a href="http://www.plosone.org/articl...

Scale Free: Twitter’s Retweet Network Structure

Ramine Tinati
Leslie Carr
Wendy Hall
Jonny Bentwood

October 2015

Studies have identified scale free networks – a real-world and man-made phenomena – in networks such...

High modularity creates scaling laws

Grindrod, P
Higham, D

January 2018

Scaling laws have been observed in many natural and engineered systems. Their existence can give use...

Facebook Fan Pages: Structure and determinants of small world and free scale networks in an urban setting

Gutierrez, Emiliano Martin
Larrosa, Juan Manuel Ceferino

January 2020

Networks that exhibit large hubs are prone to show higher connectivity than random structures. This ...

Scaling behaviours in the growth of networked systems and their geometric origins

April 2015

abstract: Two classes of scaling behaviours, namely the super-linear scaling of links or activities,...

Networks embedded in n-dimensional space:The impact of dimensionality change

Peli, Gabor
Bruggeman, Jeroen

October 2006

Social networks can be embedded in an n-dimensional space, where the dimensions may reveal or denote...

True scale-free networks hidden by finite size effects

Serafino M.
Cimini G.
Maritan A.
Rinaldo A.
Suweis S.
Banavar J. R.
Caldarelli G.

January 2021

We analyze about 200 naturally occurring networks with distinct dynamical origins to formally test w...

Scaling of Barabási-Albert networks with p = 0.

S. Konini (4715106)
E. J. Janse van Rensburg (4715103)

December 2017

Data on networks generated by the Barabási-Albert algorithm with p = 0. In each case 100 n...

(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...

The scale of the network data involved in our study varies over three orders of magnitude.

Anthony Bonato (345298)
David F. Gleich (625876)
Myunghwan Kim (625877)
Dieter Mitsche (625878)
Paweł Prałat (625879)
Yanhua Tian (625880)
Stephen J. Young (625881)

September 2014

We see similar scaling for both types of networks, but with slightly different offsets. For Faceb...

Dimensionality of Social Networks Using Motifs and Eigenvalues

Anthony Bonato (345298)
David F. Gleich (625876)
Myunghwan Kim (625877)
Dieter Mitsche (625878)
Paweł Prałat (625879)
Yanhua Tian (625880)
Stephen J. Young (625881)

September 2014

<div>We consider the dimensionality of social networks, and develop experiments aimed at predicti...

Dimensionality of social networks using motifs and eigenvalues

Anthony Bonato
David F. Gleich
Myunghwan Kim
Dieter Mitsche
Paweł Prałat
Yanhua Tian
Stephen J. Young

January 2014

We consider the dimensionality of social networks, and develop experiments aimed at predicting that ...

1Dimensionality of social networks using motifs and eigenvalues

Stephen J. Young

October 2016

We consider the dimensionality of social networks, and develop experiments aimed at predicting that ...

Facebook dimension at left, LinkedIn dimension at right.

Anthony Bonato (345298)
David F. Gleich (625876)
Myunghwan Kim (625877)
Dieter Mitsche (625878)
Paweł Prałat (625879)
Yanhua Tian (625880)
Stephen J. Young (625881)

September 2014

Each red dot (SVM) is the predicted dimension computed via graphlet features and a support vector...

Proceedings from Engagement Science: Theory and Methods: Insights from the Emergence API On the Topology of the Facebook Page Network

R. E. Slattery
R. R. Mchardy
R. Bairathi

August 2016

The Facebook Page Network (FPN) is a platform for Businesses, Public Figures and Organizations (BPOs...

The scalings between and across forums in three hourly networks, (A).

Lingfei Wu (453300)
Jiang Zhang (453299)
Min Zhao (66793)

August 2014

These three forums are the same as the forums presented in <a href="http://www.plosone.org/articl...

Scale Free: Twitter’s Retweet Network Structure

Ramine Tinati
Leslie Carr
Wendy Hall
Jonny Bentwood

October 2015

Studies have identified scale free networks – a real-world and man-made phenomena – in networks such...

High modularity creates scaling laws

Grindrod, P
Higham, D

January 2018

Scaling laws have been observed in many natural and engineered systems. Their existence can give use...

Facebook Fan Pages: Structure and determinants of small world and free scale networks in an urban setting

Gutierrez, Emiliano Martin
Larrosa, Juan Manuel Ceferino

January 2020

Networks that exhibit large hubs are prone to show higher connectivity than random structures. This ...

Scaling behaviours in the growth of networked systems and their geometric origins

April 2015

abstract: Two classes of scaling behaviours, namely the super-linear scaling of links or activities,...

Networks embedded in n-dimensional space:The impact of dimensionality change

Peli, Gabor
Bruggeman, Jeroen

October 2006

Social networks can be embedded in an n-dimensional space, where the dimensions may reveal or denote...

True scale-free networks hidden by finite size effects

Serafino M.
Cimini G.
Maritan A.
Rinaldo A.
Suweis S.
Banavar J. R.
Caldarelli G.

January 2021

We analyze about 200 naturally occurring networks with distinct dynamical origins to formally test w...

Scaling of Barabási-Albert networks with p = 0.

S. Konini (4715106)
E. J. Janse van Rensburg (4715103)

December 2017

Data on networks generated by the Barabási-Albert algorithm with p = 0. In each case 100 n...

(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...

Dimension scaling for Facebook and LinkedIn.

Abstract

Extracted data

Dimension scaling for Facebook and LinkedIn.

Abstract

Extracted data

Related items

Related items