tag :: Random graph

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1Random Graph Generator - bl.ocks.org
http://bl.ocks.org/erkal/9746513
4 years ago by @schmidt2
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blocks
d3
diagram
free
generator
graph
network
online_resource
online_ressource
random
blocksd3diagramfreegeneratorgraphnetworkonline_resourceonline_ressourcerandom
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1Dr. Dobb's | Simulating Small-World Networks | April 1, 2004
Mary examines some of the most popular algorithms for simulating small-world networks.
15 years ago by @folke
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generation
graph
perl
random
generationgraphperlrandom
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1Coloured Loop-Erased Random Walk on the Complete Graph
http://journals.cambridge.org/article_S0963548308009115
16 years ago by @pitman
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author:Pitman__Jim
coloured
combinatorics
graph
loop
probability
random
walk
author:Pitman__Jimcolouredcombinatoricsgraphloopprobabilityrandomwalk
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1Social Media Research Blog: Ranking Nodes via Random Walks
http://socialmedia.typepad.com/blog/2008/09/ranking-nodes-via-random-walks.html
16 years ago by @hotho
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graph
random
ranking
toread
walk
graphrandomrankingtoreadwalk
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1Random Networks
http://geza.kzoo.edu/~csardi/module/html/random.html
16 years ago by @beate
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graph
network-analysis
networks
random
tutorial
graphnetwork-analysisnetworksrandomtutorial
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2Clustering of correlated networks
http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=PLEEE8000069000002027104000001&idtype=cvips&gifs=yes
18 years ago by @grahl
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graph
random
graphrandom
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2EXPLOITING THE DISCRIMINATING POWER OF THE EIGENVECTOR CENTRALITY MEASURE TO DETECT GRAPH ISOMORPHISM
N. Meghanathan. International Journal on Foundations of Computer Science & Technology (IJFCST), 5 (6): 13 (November 2015)
2 years ago by @devino
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Centrality
Degree
Eigenvector
Graph
Graphs
Isomorphism
Precursor
Random
Step.
CentralityDegreeEigenvectorGraphGraphsIsomorphismPrecursorRandomStep.
(0)
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2EXPLOITING THE DISCRIMINATING POWER OF THE EIGENVECTOR CENTRALITY MEASURE TO DETECT GRAPH ISOMORPHISM
N. Meghanathan. International Journal on Foundations of Computer Science & Technology (IJFCST), 5 (6): 13 (November 2015)
6 years ago by @devino
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Graph
Graphs
Isomorphism
Random
GraphGraphsIsomorphismRandom
(0)
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1Maximum likelihood: extracting unbiased information from complex networks
D. Garlaschelli, and M. Loffredo. Physical Review E, 78 (1): 015101 (July 2008)
8 years ago by @yourwelcome
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analysis
bias,
constraints,
exponential
graph
likelihood,
maximum
model,
network
random
theory,
analysisbias,constraints,exponentialgraphlikelihood,maximummodel,networkrandomtheory,
(0)
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2Specification of exponential-family random graph models: terms and computational aspects
M. Morris, M. Handcock, and D. Hunter. Journal of statistical software, 24 (4): 1548 (2008)
8 years ago by @yourwelcome
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Carlo,
Markov
Monte
R,
Statistics
chain
exponential
graph
model,
random
Carlo,MarkovMonteR,Statisticschainexponentialgraphmodel,random
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7An introduction to exponential random graph (p*) models for social networks
G. Robins, P. Pattison, Y. Kalish, and D. Lusher. Social Networks, 29 (2): 173--191 (May 2007)
8 years ago by @yourwelcome
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Carlo,
Markov
Monte
chain
exponential
graph
model,
networks
processes,
random
social
theory,
Carlo,MarkovMontechainexponentialgraphmodel,networksprocesses,randomsocialtheory,
(0)
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1A Survey of Statistical Network Models
A. Goldenberg. Foundations and Trends in Machine Learning, 2 (2): 129--233 (2009)
8 years ago by @yourwelcome
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Latent
Sampler,
dynamics,
exponential
gibbs,
graph
model,
networks
random
review,
social
space,
LatentSampler,dynamics,exponentialgibbs,graphmodel,networksrandomreview,socialspace,
(0)
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1Settings in social networks: a measurement model
M. Schweinberger, and T. Snijders. Sociological Methodology, 33 (1): 307--341 (2003)
8 years ago by @yourwelcome
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\_tablet,
clustering,
exponential
graph
model,
networks
random
social
\_tablet,clustering,exponentialgraphmodel,networksrandomsocial
(0)
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1Adjusting for network size and composition effects in exponential-family random graph models
P. Krivitsky, M. Handcock, and M. Morris. Statistical Methodology, 8 (4): 319--339 (July 2011)
8 years ago by @yourwelcome
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density
dependence,
exponential
graph
model,
networks
random
social
densitydependence,exponentialgraphmodel,networksrandomsocial
(0)
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6Markov chain Monte Carlo estimation of exponential random graph models
T. Snijders. Journal of Social Structure, 3 (2): 1--40 (2002)
8 years ago by @yourwelcome
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Carlo,
Likelihood
Markov
Monte
algorithms,
based
chain
exponential
graph
model,
networks
random
social
Carlo,LikelihoodMarkovMontealgorithms,basedchainexponentialgraphmodel,networksrandomsocial
(0)
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1Recent developments in exponential random graph (\textless i\textgreater p\textless/i\textgreater*) models for social networks
G. Robins, T. Snijders, P. Wang, M. Handcock, and P. Pattison. Social networks, 29 (2): 192--215 (2007)
8 years ago by @yourwelcome
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Carlo,
Markov
Monte
Stochastic
chain
clustering,
distribution,
exponential
graph
model,
networks,
processes
processes,
random
social
Carlo,MarkovMonteStochasticchainclustering,distribution,exponentialgraphmodel,networks,processesprocesses,randomsocial
(0)
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1Goodness of fit of social network models
S. Goodreau, and M. Handcock. 47. University of Washington, Center for Statistics and the Social Sciences, Seatle, Washington, USA, (April 2005)
8 years ago by @yourwelcome
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Model
Transitivity
checking,
clustering,
exponential
graph
model
model,
networks,
random
simulations,
social
verification,
ModelTransitivitychecking,clustering,exponentialgraphmodelmodel,networks,randomsimulations,socialverification,
(0)
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6Lexical Semantic Relatedness with Random Graph Walks.
T. Hughes, and D. Ramage. EMNLP-CoNLL, page 581--589. (2007)
8 years ago by @hotho
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graph
random
relatedness
semantic
similarity
walk
graphrandomrelatednesssemanticsimilaritywalk
(1)
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1Theory of random graphs
S. Janson, T. Luczak, and A. Rucinski. John Wiley & Sons, New York; Chichester, (2000)
11 years ago by @sdo
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density
graph
random
densitygraphrandom
(0)
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1Random Walks Based Modularity: Application to Semi-supervised Learning
R. Devooght, A. Mantrach, I. Kivimäki, H. Bersini, A. Jaimes, and M. Saerens. Proceedings of the 23rd International Conference on World Wide Web, page 213--224. Republic and Canton of Geneva, Switzerland, International World Wide Web Conferences Steering Committee, (2014)
11 years ago by @thoni
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graph
modularity
path
random
walk
www14
graphmodularitypathrandomwalkwww14
(0)
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1On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs
Y. Weiss, and W. Freeman. IEEE Trans. on Information Theory, 47 (2): 736--744 (2001)
11 years ago by @guillem.palou
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(mathematics),
MRF,
Markov
algorithm,
arbitrary
assignment,
belief
belief-propagation
codes,
codesBayesian
continuous-valued
convergence
convergence,
cycle
decoding,
dependencies,
discrete-valued
distribution,
equivalent
fields,
fixed
graph
graph,
graphical
graphs,
local-message-passing
max-product
methods,
min-sum
models,
networks,
nodes,
numerical
of
optimality,
optimisation,
performance,
point,Markov
posterior
probability
probability,
processes
processes,
random
single-loop
solutions
statistical
topology,
tree
trees
turbo
unique
(mathematics),MRF,Markovalgorithm,arbitraryassignment,beliefbelief-propagationcodes,codesBayesiancontinuous-valuedconvergenceconvergence,cycledecoding,dependencies,discrete-valueddistribution,equivalentfields,fixedgraphgraph,graphicalgraphs,local-message-passingmax-productmethods,min-summodels,networks,nodes,numericalofoptimality,optimisation,performance,point,Markovposteriorprobabilityprobability,processesprocesses,randomsingle-loopsolutionsstatisticaltopology,treetreesturbounique
(0)
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8Maps of random walks on complex networks reveal community structure
M. Rosvall, and C. Bergstrom. Proceedings of the National Academy of Sciences, 105 (4): 1118--1123 (2008)
12 years ago by @jaeschke
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analysis
cluster
community
detection
graph
map
network
random
social
structure
analysisclustercommunitydetectiongraphmapnetworkrandomsocialstructure
(0)
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2Sudden Emergence of a Giant k-Core in a Random Graph
B. Pittel, J. Spencer, and N. Wormald. Journal of Combinatorial Theory, Series B, 67 (1): 111--151 (1996)
12 years ago by @jaeschke
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core
graph
random
sna
coregraphrandomsna
(0)
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1The average distances in random graphs with given expected degrees
F. Chung, and L. Lu. Proceedings of the National Academy of Sciences, 99 (25): 15879-15882 (2002)
12 years ago by @folke
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community
configuration
detection
expectation
graph
model
random
communityconfigurationdetectionexpectationgraphmodelrandom
(0)
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5A critical point for random graphs with a given degree sequence
M. Molloy, and B. Reed. Random Structures & Algorithms, 6 (2-3): 161--180 (1995)
12 years ago by @folke
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component
configuration
giant
graph
model
random
componentconfigurationgiantgraphmodelrandom
(0)
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1Sparse random graphs with a given degree sequence
T. Luczak. Proceedings of the Symposium on Random Graphs, Poznan, page 165--182. (1989)
12 years ago by @folke
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configuration
graph
model
random
configurationgraphmodelrandom
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1Random Graph Generator - bl.ocks.org

1Dr. Dobb's | Simulating Small-World Networks | April 1, 2004

1Coloured Loop-Erased Random Walk on the Complete Graph

1Social Media Research Blog: Ranking Nodes via Random Walks

1Random Networks

2Clustering of correlated networks

publications (hide)41
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2EXPLOITING THE DISCRIMINATING POWER OF THE EIGENVECTOR CENTRALITY MEASURE TO DETECT GRAPH ISOMORPHISM

2EXPLOITING THE DISCRIMINATING POWER OF THE EIGENVECTOR CENTRALITY MEASURE TO DETECT GRAPH ISOMORPHISM

1Maximum likelihood: extracting unbiased information from complex networks

2Specification of exponential-family random graph models: terms and computational aspects

7An introduction to exponential random graph (p*) models for social networks

1A Survey of Statistical Network Models

1Settings in social networks: a measurement model

1Adjusting for network size and composition effects in exponential-family random graph models

6Markov chain Monte Carlo estimation of exponential random graph models

1Recent developments in exponential random graph (\textless i\textgreater p\textless/i\textgreater*) models for social networks

1Goodness of fit of social network models

6Lexical Semantic Relatedness with Random Graph Walks.

1Theory of random graphs

1Random Walks Based Modularity: Application to Semi-supervised Learning

1On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs

8Maps of random walks on complex networks reveal community structure

2Sudden Emergence of a Giant k-Core in a Random Graph

1The average distances in random graphs with given expected degrees

5A critical point for random graphs with a given degree sequence

1Sparse random graphs with a given degree sequence

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