Réseaux de savoirs

Cointet Jean-Philippe
Master II AIV 2005
ENGREF 2004-2005
Ecole Polytechnique 2000-2003
Dynamiques sociales et sémantiques dans les réseaux de savoirs
morphogenèse et diffusion
Descriptif
Cette thèse s'attache à décrire, mesurer et modéliser des réseaux de savoirs mettant en jeu des acteurs qui interagissent au sein d'un
réseau social et qui manipulent de l'information. Elle s'appuie essentiellement sur deux objets, la science, et la blosphère politique.
En premier lieu, les réseaux scientifiques mettent en rapport d'une part des chercheurs en interaction au sein de réseaux de
collaboration et d'autre part des réseaux lexicaux émergeant de leur production, notre objet d'étude étant la co-évolution entre ces
deux espaces: social et sémantique. La blogosphère politique est également interprétée de façon duale: d'une part comme un système
d'interactions et de citations entre des rédacteurs (multi-réseau), d'autre part un lieu de débat où les opinions sont distribuées sur
un ensemble de sources.
L'objectif de cette thèse est donc de développer des outils d'analyse quantitative des dynamiques socio-sémantiques et des
processus en jeu au sein de ces réseaux de savoirs en adoptant une perspective empirique fondée sur l'observation in-vivo de ces
systèmes. On distingue d'une part les études sur la morphogenèse des réseaux (motifs structurels non triviaux - communautés
épistémiques, champs paradigmatiques, etc.) couplée à l'étude des comportements locaux susceptibles de les faire émerger (mesure
et reconstruction), et d'autre part étude des processus à l'oeuvre sur ces réseaux, en particulier la diffusion d'information.
Thèse co-encadrée par: Paul Bourgine (CREA-ISCPIF) et Pierre-Benoît Joly (TSV)
Ecole doctorale de l'Ecole Polytechnique, département HSS
Dynamiques des réseaux de savoirs !
Acteurs: {Ai}
Publications: {Pi}
Représentation de connaissances
Concepts: {Ci}
A1
Cadre théorique:
C1
P1
Hc(t)
Réseaux de savoirs
C1,C2,C3
Les dynamiques sociales des agents
(niveau micro) modifient par
émergence les structures sociales de
haut niveau (en bleu). En modifiant la
distribution des connaissances les
agents agissent sur la structure multiniveau de la dimension sémantique
(en jaune) qui peut elle-même
contraindre les dynamiques sociales
A1,A2
C2
A2
P2
C2,C3
A1,A2
A3
C3
P3
A4
C3,C4
Hs(t)
Les réseaux de savoirs sont
formalisés comme des systèmes
sociaux mettant en jeu des
acteurs qui interagissent au
sein d'un réseau social et qui
manipulent de l'information.
Hs(t+dt)
Lc(t)
Lc(t+dt)
Ls(t)
Ls(t+dt)
C4
A3,A4,A5
A5
réseau de savoirs
Représentation de grand
corpus textuels
Hc(t+dt)
Reconstruction statique de
champs paradigmatiques à
l'aide d'analyse de
cooccurrences et de la
définition d'une mesure de
proximité conceptuelle
asymétrique
une approche socio-sémantique multi-niveau
reconstruction statique multi-échelle
slice:10 time:10.000-11.000
auxin
determine
Radu S.
circadian
circadi_clock
Newell
D.
Miliotis
Rodma
M.
P.S.
Kanarat
Fournier
Fernandez
Bouchriti
N.JH.
Costagliola
M.
Desmarchelier
Gonzalez
M.I.P.
A.
Osaka
K.Depaola
Rosenquist
H.
Christensen
B.
Kaper
J.Hammer
Nishibuchi
M.P.
Anderson
Wegener
H.S.
Gorris
Igimi S.
Vanderlinde
Hashim
Takeda
Y. L. J.K.
Yamamoto
Tamplin
M. P. A.
Braunig
J. D.
Dalsgaard
Balakrish
NairS.
Mahoney
Reilly A. Murray
Hilton
J.H.D.
Mead P. N.
Bˆhm
Anelich
L.
Lee LR.
DeShield
Rorvik
McCoubrey
Frid
M. PM.W.
Kumagai
S.
Rivera
Jimenez
S.M.D
Hubert
Wachsmuth
Kasuga
Hanninen
Pratt
C. F.J.
Kiehlbauch J.
Cox
L.A. M.
Reichmuth
Toyofuku H.
Skjerve
Aidara-Kane
A.
Suhaim
L.R.A.
Tham
W. E.
Teufel
WeiseP.
E.
Gram
L.
Huss
H.H.
Wiedemann P.
Rocourt J.
Ali-Ahmed M.
Bowers J.
Liu X.
Norrung B.Dalgaard P.
Nielsen N.L.
Kruse H.
McLandsborough L.A. Potter M.
Lindgren S.
Levin R.
Luna J.F.
Kvenberg J.
Nader
A.
Lima Dos Santos C.
Karunasagar I.
Suwanrangsi S.
Skinner R.
Sumner
Hultin
H.O. J.
Caipo M.
Ababouch L.
Engeljohn D.
Ross
T.
Caswell J.A.
Luber P.
Dobson
McMeekin
T.S.
Cordier J.
Hathaway S.
Walls I.
Block C.
Stark K.
Braden C.
Sofos J.
Angulo
F. D.
Vose
Carlos C.
JouveMitchell
J.
R.T.
Cowden J.
Forsythe S.
Mead G.
Havelaar A
Notermans
S. M. Roberts T.A.
Zwietering
Nauta M.
Hald
T. Gerwen
Van
S.
Bernard
D.
Lefferts L.
Jansen J.
Muytjens H.
Komolafe O.O.
Martinez A
Van Schothorst
Vicari A.
Przyrembel H.
Snary E.
Van Acker J.
Buchanan R.
March
D.
Whiting
R.C
Bowen A.
SchlosserH.W.
Lammerding A
Wahlstrom
Cravioto
Humphrey
T.
Hartung
M. Schuch
Cole M.
Ross W.
D.M.T.
Estuningsih
Destro M.T.S.
Nasinyama
G.
Ebel E.
Paoli
W.G.
Morales
R. Anderson
Farber J. Hartnett E.
Maczka
Yoe C C.
Coignard B.
Hudson J.A.
Todd E.C.
-0-Amma N Anandavally
Cerf
O.G.
Klein
Esteban E.
Higuera-Ciapara
I.
DoyleKelly
M.P.L.
Walderhaug M.
Mensah
Tompkin
R. P.
R.
FazilLindquist
A.
Construction de l'expertise
en sécurité alimentaire
1963-1967
markov
rhythm
+clock
+rhythmicity
-circadi_clock
-markov
fuzzy
human _protein
mice
mouse
Zwiete
Przyrembel H.
Van Acker J.
Martinez A
Cole M.
Buchanan R.
Paoli G.
Taylor E.
Destro M.T.
Bernard D.
Clydesdale F.
D'Aoust J.
slice:17 time:17.000-18.000
Walls I.
Fernandez H.
Rivera
Mead P. Rosenquist H.
Christensen B.
Nielsen N.L.
Norrung B.
Aidara-Kane
Braden A.
C.
Kiehlbauch
J.
Rodma
P.S.
Kanarat
Fournier
Bouchriti
N.J Costagliola
M.
J.K.
Gonzalez
M.I.Hashim
Osaka
K.
Tham W.
H.
S.Wachsmuth
SkjerveKruse
E. Anderson
Potter N.
M.
Rocourt
Mahoney
D. J.
Murray
Hilton
J.H.D.
Bˆhm
Anelich
L.
DeShield
Rorvik
McCoubrey
D L Reilly A.
M. PM.W.
Jimenez
S.M.
Hubert
Karunasagar I.Frid
Ababouch
Hanninen
M.
Pratt
C. P.J. L.
Toyofuku
H.
Reichmuth
Hammer
Suhaim
Teufel L.R.A.
P.
Bowers J.
S.
Cox L.A.
Radu
S.
Balakrish
Nair
Weise E.
A.Igimi
Sofos J.Depaola
Takeda
Y.M.
Yamamoto
S. Wiedemann P.
Nishibuchi
Lima Dos Santos C.
Kumagai S. Ali-Ahmed M.
Wegener
H. F.
Kasuga F.
Angulo
Vose D.
Lee R.
McLandsborough L.A.
Lindgren S.
Kaper J.
Levin R.
Luna
J.F.
Suwanrangsi
S.
Kvenberg J.
Nader A.
Dalsgaard A.
Tamplin
M. L.
Hald T.
Gram
Skinner R.
Jordan
D.
Huss
H.H.
HultinSchlosser
H.O.
W.R.
Caipo M.
Morales
Dalgaard P.
Ebel E.
Engeljohn
D.
Liu
X.
Sumner J.
Caswell J.A.
Luber P.
Cordier J.
Mensah P.
Dobson S. Vanderlinde P.
Block C.
McMeekin
Ross T. T.
Stark
Braunig
J.
Hathaway
S. K.
Desmarchelier P.
Taylor E. Carlos C.
Doyle M.P. Klein
Vicari A.
G. Cowden J.
Walderhaug
M.
Mitchell
R.T.Gorris
Bowen A.
Roberts
Van L.
Gerwen
S. T.A.
HavelaarJouve
ASnaryJ.E.
Zwietering
M. R.CLammerding A
Whiting
Wahlstrom
H. M.
Destro M.T.
Nauta
Notermans S.
Buchanan R.Paoli G.
Lefferts L.
Van Schothorst
Muytjens
Jansen J.
Clydesdale
F. H.
Komolafe
O.O.
Fazil A.
Mead
G.
Martinez A
coli
downstream
escherichia
escherichia
operon
lineage
promote
mice
population
yeast
probability
flux
model
yeast _cell
candidate
candidate
markov
monte _carlo
sacchar_cerevis
catalysis
yeast _sacchar
selection
yeas_sacc_cere
simulation
density
central_nervous
edge
growth
input
random
state
steady _state
-biology
-complex
-cytochrome
-disruption
-feedback
-feedbac_inhibit
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-molecul_biology
-putative
-yeas_sacc_cere
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+coupling
+flux
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-biomass
-cycle
-single _cell
-synapse
+cell _growth
+edge
-activity
-biologi_systems
-dependence
-experiment
-flux
-model
-state
-steady _state
+epiderm_growth
+mice
+spindle
+tumor
-cerevisiae
-participate
-saccharomyces
-sacchar_cerevis
-yeast
-yeast _cell
-yeast _sacchar
-yeas_sacc_cere
+budding_yeast
+electro_microsc
+microscopy
+phase
bacillus
edge
dopamine
nucleotide
excitation
nucleot_sequenc
hippocampus
ability
feedbac_regulat
sequence
specification
system
selectivity
capabilities
interface
nervous
neurotransmitt
process
dna _interac
array
gradient
oscillation
interact
polymerase
protein_dna
control
cytoplasm
function
fission
species
gene _functio
comparing
specificity
metabol_control
nuclear
strain
thermostabilit
multicellular
plasma _membran
putative
network
rrna
promote
emerge
integrate
marker
participate
acid _residue
active _site
amino _acid
code
recombination
sequence
resistance
sequenc_data
complex
intercellular
intracellular
metabol_control
multicellular
network
noise
organizing
self _organiz
strategy
time
transformation
selectivity
-candidate
-density
-feedbac_regulat
-gradient
-interface
-protein_dna
-putative
-rrna
-selectivity
+cell _motilit
+embryo
+fibroblasts
+microtubule
+virus
-candidate
-catalysis
-edge
-growth
-input
-interact
-process
-promote
+protein_interac
+strength
-machine_learnin
-markov
-population
-probability
-random
+computing
+higher _order
+feedbac_regulat
+metabol_pathway
+optimization
-budding
-participate
combine
molecul_biology
multice_organis
-ability
-capabilities
-comparing
-dna _interac
-selectivity
-strain
-thermostabilit
+construct
+epiderm_growth
+gaussian
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+niche
+wide _range
operate
cycle
pathway
drosoph_melanog
coupling
feedbac_regulat
flux
division
membrane
edge
transport
regulon
variation
biomolecular
cell _cycle
cell _divisio
cell _growth
regulat_element
organism
biologi_data
cerevisiae
cell
mutant
mutation
composition
environ_conditi
optimization
self _organiz
drosophila
feedbac_inhibit
biomass
molecular
state
uncertainty
epistasis
notch
pairwise
array
feedbac_regulat
chromosome
epiderm_growth
cluster
metabol_pathway
budding
experim_evidenc
budding_yeast
combine
mice
electro_microsc
mapping
spindle
microscopy
transduction
tumor
phase
lineage
melanogaster
pattern_formati
sensitive
computer
computing
higher _order
monte _carlo
yeast
selection
yeast _cell
simulation
cell _motilit
auxin
optimization
saccharomyces
sacchar_cerevis
edge
polymerase
chemistry
construct
magneti_resonan
epiderm_growth
embryo
protein_interac
fibroblasts
rna _polymer
mass _spectro
gaussian
molecul_interac
multice_organis
spectrometry
microtubule
strength
niche
spectroscopy
virus
species
spectrum
yeast _sacchar
specificity
1998-2002
biomass
differentiatio
in _vitro
lymphocytes
node
stimulation
t _cell
target
ecology
diversity
budding_yeast
carbon
biomolecular
evolution
interaction
cycle
exchange
carbon _dioxide
mechanism
hybridization
protein
dioxide
perturbation
mechanism
protein_interac
oxygen
property
plant
prot_prot_inte
region
wide _range
yeas_sacc_cere
wild
learning
modular
phage
synapse
process
universe
species
mutant
ecosystem
mathema_model
model
niche
clock
epistasis
genotype
motif
notch
population
phenotype
resource
quantit_trait
selection
regulon
data _set
endocytosis
antibody
frequencies
endopla_reticul
antigen
gene
immune
genetic_network
immune _respons
population
modulate
golgi
microscopy
mitochondria
nucleus
scoring
vegetation
+central_nervous
+cortex
+disease
+nervous
+neural _network
+synapti_plastic
+system
+visual _cortex
-circadi_rhythms
-genes _encodin
-interneurons
-lineage
-mice
-mouse
-structu_informa
-coli
-escherichia
-escheri_coli
-regulon
-repression
+promote_sequenc
+transcription
+upstream
brain
-biosynthesis
-cdna
-downstream
-gene _transcr
-hybridization
-messenger
-messeng_rna
-mrna
-non _coding
-protein_data
-transcription
-transcr_regulat
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+express_data
+gene_expr_data
+regulation
-biosynthesis
-downstream
-gene _express
-cdna
-gene _transcr -downstream
-hybridization -gene _express
-messenger -gene _transcr
-messeng_rna -hybridization
-mrna
-non _coding
-protein_data -protein_data
-transcription -transcription
-transcr_regulat -transcr_regulat
+clone
+interneurons
+protein_sequenc
+recombinant
-biosynthesis
-downstream
-gene _express
-gene _transcr
-messeng_rna
-protein_data
-transcription
-transcr_regulat
epiderm_growth
module
express_level
operon
overexpression
upstream
cdna
biosynthesis
clone
biomolecular
interneurons
computer
-epiderm_growth
-express_level
-mice
-mouse
-synapse
+chain
+kappa _b
+nf _kappa
+nf _kapp_b
-connectivity
-cortex
-hippocampus
-neural _network
-neuron
-synapti_plastic
-visual _cortex
+protein_network
+autoregulation
+gene_expr_leve
+motif
+regulat_element
+repression
expression
express_data
circadian
coli
brain
circadi_clock
chain
central_nervous
disease
cycle
nervous
rhythm
protein_network
rhythmicity
system
non _coding
messenger
model
gene _express
mrna
protein_sequenc
messeng_rna
molecul_dynamic
gene_expr_data
regulation
recombinant
mrna
program
regulation
transcr_regulat
promote_sequenc
regulat_element
-autoregulation
-module
-overexpression
-phage
-promote
-prot_prot_inte
-transduction
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molecul_dynamic
prot_prot_inte
receptor
-epiderm_growth
-express_level
-kappa
-mouse
-synapse
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-module
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-overexpression
-promote
-regulon
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-program
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-simulation
-non _coding
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-expression
-gene _express
-module
-transcr_regulat
-algorithm
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-expression
-model
-gene _express
-molecul_dynamic
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-program
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-simulation
-recombinant
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-recombinant
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+reaction
-kappa
-kappa _b
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-regulon
-repression
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+predict_methods
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escherichia
operon
cancer
galaxy
phage
interac_network
metabol_network
target _gene
cdna
computer
mice
progression
prot_prot_inte
repression
-feedbac_regulat
-feedbac_regulat
-operon
-operon
-regulon
-regulon
-repression
-repression
+active _site
+bacterium
+catalysis
+metabol_network
+mutagenesis
stem _cell
model
tumor
modelling
cdna
express_data
annotation
clone
gene_expr_data
computer
encode
hybridization
messenger
mrna
feedbac_control
express_data
genbank
gene_expr_data
protein_sequenc
sequenc_databas
molecular
feedbac_loop
cycle
-computer
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-kappa
-kappa _b
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-modelling
-nf _kappa
-nf _kapp_b
+base
+hidden _markov
+markov
+process
-autoregulation
-gene_expr_leve
-motif
-repression
+gene_regu_netw
+gene_regu_netw
+region
-cdna
-coli
-escherichia
-escheri_coli
-express_data
-gene_expr_data
-hybridization
-messenger
-operon
-regulon
-repression
+gene
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+gene_expr_prof
+gene_regu_netw
+gene _transcr
+level
+knockout
+mouse
+network_structu
-cancer
-progression
-tumor
gene _express
endocytosis
epiderm_growth
active _site
genome _scale
nervous
oligonucleotid
predict_accurac
plasticity
polymerase
predict_methods
escheri_coli
reaction
rna _polymer
escherichia
mutagenesis
bacterium
evolvability
coli
genetic_variati
escherichia
quantit_trait
catalysis
escheri_coli
coli
escherichia
escheri_coli
variance
metabol_network
variation
algorithm
attractor
computation
hidden _markov
time
time _series
coli
escherichia
escheri_coli
operon
regulon
base
regulation
+amino _acid
+nucleotide
+open
+sequence
+signali_network
-cdna
-clone
-encode
-protein_sequenc
+amino _acid
+homology
+nucleotide
+sequence
-cdna
-clone
-encode
-nucleot_sequenc
promote_sequenc
model
region
process
regulat_element
upstream
-cortex
-central_nervous
-gene_regu_netw
-gene_regu_netw
-hippocampus
-nervous
-hybridization
-regulat_relatio
-plasticity
-system
-regulat_relatio
+interneurons
-synapti_plastic
+layer
-visual _cortex
+mrna
+cellula_network
+detect
+express_profili
+gene_expr_prof
+sequencing
+strand
-genome _scale
cortex
chain
hippocampus
detect
brain
cellula_network
central_nervous
nervous
system
hybridization
express_profili
interneurons
gene_expr_prof
layer
oligonucleotid
mrna
polymerase
plasticity
reaction
rhythmicity
synapti_plastic
sequencing
time
visual _cortex
strand
+mammalian
+axon
-cellula_network
-hybridization
-interneurons
-layer
+learning
+mice
-coli
-escherichia
-escheri_coli
-rna _polymer
+seconda_structu
+structure
+structu_predict
+allele
+ecology
+chromosome
+frequencies +functio_annotat
+locus
+genome _wide
+polymorphisms
+linkage
+population
+locus
+species
+mapping
+time_seri_data
-evolvability
-evolvability
-genetic_variati
-genetic_variati
-variance
-quantit_trait
-variation
-variation
-mutagenesis
amplification
circadi_clock
clock
homology
gene_expr_prof
nucleotide
gene_regu_netw
protein_sequenc
gene _transcr
stem _cell
clock
sequence
level
brain
nucleus
central_nervous
oscillation
nervous
phase
system
hippocampus
learning
mice
mrna
plasticity
rhythm
synapti_plastic
rhythmicity
visual _cortex
predict_accurac
predict_methods
seconda_structu
active _site
chromosome
frequencies
functio_annotat
catalysis
locus
genome _wide
coli
polymorphisms
structure
escherichia
structu_predict
escheri_coli
population
base
+molecular
-oscillation
-feedbac_regulat
-gene_expr_prof
-gene_regu_netw
-gene _transcr
-knockout
-level
-mice
-mrna
-network_structu
-stem _cell
+expression
+express_data
+gene_expr_data
+genetic_network
+transcriptome
-gene_regu_netw
-gene_regu_netw
-operon
model
coli
dynamic_simulat
control
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helix
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cdc14
cerevisiae
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activat_protein
budding_yeast
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golgi
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node
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2003-2007
alpha
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t _cell
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cdc14
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integrate
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network
information
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root
microarray
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thaliana
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process
plant
dynamic_systems
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monte _carlo
bind
evolution
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scale
scale _free
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complex
complexes
dna _binding
dna _interac
macromolecular
protein_complex
protein_dna
prediction
predict_methods
protein_structu
seconda_structu
sequence
structure
structu_predict
nonlinear
simulation
D'Aoust J.
réseau de proximité de projets européens
reconstruction des dynamiques des champs scientifiques:
les mutations paradigmatiques de la biologie depuis 50 ans
Dynamiques d’opinions
0
10
10
2
10
g(δ )
−2
10
−3
−3
10
10
−4
−4
1
2
3
4
soc a d stance d
10
5<
Opinions et influence
0
01
02
03
04
05
06
07
08
09
Left
Centre
Right
Press
E | 0.03
3
Détecter, mesurer, représenter
les dynamiques "d'opinions" au
niveau des acteurs.
E | 0.13
3
d | 0.22
D | 0.06
None
3
a | 0.23 A | 0.12
B | 0.05
1
0
e | 0.20
A a| 0.14
| 0.33
1
a | 0.16
a | 0.72
A | 0.33
Reconstruction et modèles
prédictifs d'influence dans une
écosphère informationnelle.
1
a | 0.25
5
a | e0.43
| 0.19
8
e | 0.42
f | 0.14
c | 0.3
1
b | 0.14 c | 0.20
e | 0.13
b | 0.19
a | 0.49
b | 0.22
c | 0.16
a | 0.42
6
b | 0.38
7
c | 0.43
semant c d stance δ
Evolution des centres d'intérêt au sein de la blogsphère
politique française, couplée à un multi-réseau dynamique
propension d'interaction par rapport à une distance sociale ou sémantique
F
C
c
b
A
B
C
D
A
D
a
B
E
C
08
b
E
A
Diagramme d'influences systématiques entre grands
groupes de sources dans la blogosphère politique
1
B
E
F
Modéliser la formation des
réseaux comme une
dynamique événementielle.
c
Ra o o Nodes n ormed
a
Modèles hypergraphiques
de morphogenèse de graphe
g | 0.08
C | 0.04 2
4
L'objectif est de mesurer, au
niveau des acteurs les
régularités induites par la
structure du réseau sociosémantique sur leur
comportement d'interaction.
−2
10
2
2
Mesure d'attachement
préférentiel sur des réseaux
réels
−1
−1
10
f (d)
biosynthesis
human
target _gene
translocation
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antibodies
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-expression
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Morphogenèse de réseau!
10
chromosome
rearrangement
yeas_sacc_cere
feedback
control
acid _residue
gene _express
gene_expr_data
gene_expr_prof
microar_dataset
reactio_network
wild
évolution du réseau de collaboration d'experts
du JEMRA, comité réunis pour le CODEX
0
Phylogénie des sciences
antibodies
cdc14
cell _divisio
drosoph_melanog
segmentation
bind
bind
host
infection
network_model
persistence
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expression
base
dynamic_simulat
metabol_network
regulon
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-detect
expression
gene _express
mouse
transcriptome
express_data
escherichia
escheri_coli
dna _microar
gene
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saccharomyces
sacchar_cerevis
stem
genome
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gene _express
mice
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network_structu
bacillus
circadi_rhythms
1998-2002
mice
stem _cell
transformation
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circadi_rhythms
phase
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knockout
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notch
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chain
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oscillation
locus
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linkage
mapping
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cdc14
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circadi_clock
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coli
chain
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regulat_relatio
synapti_plastic
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-cycle
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module
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escheri_coli
promote
operon
regulon
repression
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-mathema_model
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motif
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sensitive
prot_prot_inte
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escherichia
kappa
kappa _b
nf _kappa
nf _kapp_b
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binding_protein
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gene _express
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mice
mouse
synapse
regulon
transduction
antigen
algorithm
cdna
hybridization
kappa
phage
promote
prot_prot_inte
system
visual _cortex
mutant
plant
thaliana
bind
escheri_coli
operon
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coli
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promote_sequenc
neuron
synapti_plastic
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1993-1997
homology
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autoregulation
escherichia
cortex
disease
nervous
time
1988-1992
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connectivity
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neural _network
clock
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central_nervous
circadian
circadi_clock
1983-1987
molecul_biology
structure
subunit
oligonucleotid
promote_sequenc
molecular
self _organiz
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-edge
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actin
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long _range
network_structu
protein_data
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-epistasis
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-notch
-pairwise
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-cluster
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repression
-bacillus
-biomass
-code
-composition
-cycle
-environ_conditi
-messenger
-messeng_rna
-organism
-variation
+amino _acid
+homology
+nucleotide
+nucleot_sequenc
+oligonucleotid
+promote_sequenc
+sequence
+sequencing
+upstream
-autoregulation
-biology
-complex_network
-formalism -complex_network
-molecul_biology -crystal_structu
-multice_organis -formalism
-optimization -multice_organis
-structu_basis
-optimization
-time _scales
-self _organiz
-transit_state
-structu_basis
+biomolecular
-time _scales
+conformation
-transit_state
+diffraction
+local _structu
+hydroge_bonding +long _range
+network_structu +topology
+structure
+subunit
+x _ray
+biosynthesis
+cdna
+downstream
+gene _express
+hybridization
+non _coding
+protein_data
+transcr_regulat
-code
-protein_sequenc
-sequenc_data
development
brain
gtpase
metabol_network
regulon
mouse
neuron
behavior
escheri_coli
escheri_coli
interneurons
circadi_rhythms
1978-1982
+development
+information
+modular
+specification
+synapse
-gene _transcr
-messenger
-mrna
-transcription
structu_informa
-liver
-mechanism
-temperature
-time _series
-timing
Przyrembel H.
Van Acker J.
Miliotis
Cole M.M.
BernardMarch
D. D.
Kelly L.
Ross W.
Cravioto
Humphrey
T. E.
Farber J. Estuningsih S.
Anderson W.
D.M.T.
Hartnett
Nasinyama
G.
Forsythe Schuch
S.
Maczka
Todd E.C.
Yoe C C.
Coignard B.
Hudson J.A.
-0-Amma N Anandavally
Cerf O.
Hartung M.Newell D.
Walls I.
Esteban E.
Higuera-Ciapara
I.
Lindquist R.
Tompkin R.
computer
machine_learnin
saccharomyces
experim_evidenc
putative
transport
feedbac_control
base
formalism
reaction
transition
transit_state
process
downstream
coli
connectivity
hippocampus
time
timing
Navigation dans des bases
de données biparties,
identification de structures
remarquables, aide à la
décision.
Ross W.
Todd E.C.
Tompkin R.
level
participate
autoregulation
Doyle M.P.
Farber J.
budding
participate
experiment
disruption
+combine
+feedbac_control
+mutant
+mutation
+operate
+pathway
+regulat_element
+sensitive
+wild
-biology
-convergence
-feedback
-feedbac_regulat
-molecular
-molecul_biology
-yeas_sacc_cere
bacillus
crystal_structu
entropy
cellula_process
sequenc_data
cdna
genes _encodin
rhythm
temperature
time _series
-clock
-time
+cycle
Klein G.
Farber J.
messeng_rna
protein_sequenc
operon
transcr_regulat
catalysis
cellular
messenger
messenger
nucleus
mrna
transcription
biologi_process
code
eukaryo_cells
messenger
operon
+downstream
+gtpase
+promote
+metabol_network
+regulon
+phage
+repression
-combine
-combine
-construct
-construct
-operon
-transduction
circadi_rhythms
mechanism
rhythmicity
Représentation de réseaux
hétérogènes
Lindgren S.
Luna J.F.
Ababouch
Lima Dos Santos C.
Liu L.
X.Nader A.
Skinner R.
Caipo M.
Engeljohn D.
Luber P.
Cordier J.
Block C.
Hald T.
dependence
cerevisiae
complex
cytochrome
molecular
yeas_sacc_cere
-cell
-cell _cycle
-cell _divisio
-concentration
-division
-environment
-expression
-parameter
-single _cell
-synapse
-temperature
+bacillus
+base
+composition
+organism
+variation
+autoregulation
+complex_network
+crystal_structu
+formalism
+multice_organis
+optimization
+self _organiz
+structu_basis
+time _scales
+transit_state
-convergence
-regulon
-determine
-environment
-expression
-probability
-process
-reliability
+catalysis
+entropy
+reaction
+transition
+transit_state
biosynthesis
liver
Carlos C.
Cowden J.
Forsythe S.
Havelaar A
Ebel
E.
Lefferts L.
Schlosser
W.
Muytjens H.
Van Gerwen
S. O.O.
Komolafe
Walderhaug M.
Jouve J. Zwietering
Vicari
Przyrembel H.
Morales R.
M. A.
Van Acker J.
Vanderlinde
P.
Notermans S.Snary E.
Desmarchelier
P.
Roberts T.A.
March A.
D.
Nauta M. JansenMead
Bowen
J. G.
Wahlstrom H.Fazil A.
Cravioto
Schuch
D.M.T.
Estuningsih S.
Nasinyama
G.
Maczka
C.
Yoe C Whiting
Paoli G. A
R.C
Coignard B.
Hudson J.A.Lammerding
-0-Amma N Anandavally
Humphrey T.
Cerf
O.
Buchanan
R.
Van Schothorst
Esteban E.
Higuera-Ciapara
I.
Kelly L. Cole M.
Mensah
P. D.
Lindquist
R.Jordan
Newell
D. M.
Hartung
Hartnett
E.
Anderson
W.
Dobson S.
Sumner J.
McMeekin
Ross T. T.
code
gene _transcr
escheri_coli
brain
clock
Karunasagar I.
Mitchell R.T.
chromatin
combine
construct
escherichia
+brain
+connectivity
+genes _encodin
+hippocampus
+interneurons
+lineage
+neuron
+structu_informa
-circadian
-clock
-fusion
-fuzzy
-human _protein
-rhythm
-rhythmicity
+circadi_clock
+liver
+mechanism
+temperature
+time
+time _series
+timing
circadi_rhythms
Caswell J.A.
+messeng_rna
+protein_sequenc
+sequenc_data
-gene _transcr
-mrna
-transcription
-biomass
-coli
-determine
-environment
-escherichia
-escheri_coli
-expression
-filament
-probability
-reliability
-state
-uncertainty
+biologi_process
+cellular
+level
+participate
biology
Igimi S.
Kasuga F.
Kumagai S.
Kiehlbauch J.
Yamamoto S.
Wachsmuth Kaper J.
Takeda
Y. Nair
Balakrish
Nishibuchi
M.
Miliotis
Rodma
P.S.
Kanarat
Fournier
JM. Gonzalez
Bouchriti
M.
Skjerve E. Rosenquist
M.I. Radu S.
Osaka
K. H. N. Costagliola
Christensen
Depaola
A.
Anderson
S. B.
Gorris
L.
Hashim
J.K.
Tamplin
M.
Braunig
J. D.
Mahoney
M.
Rorvik
LPotter
Bowers
J. J.H.D.
Murray
Hilton
Mead
P. N.
Bˆhm
Anelich
L. M.W.
Lee R.
DeShield
McCoubrey
D
Frid
M. P.
Hammer
Jimenez
S.M.
Hubert
P
Hanninen
M.
C.
Nielsen N.L.
Dalsgaard A. Pratt
Cox
L.A.
Reichmuth
Norrung
Aidara-Kane
Suhaim
Teufel L.R.A.
P.J.
ReillyA.
A.B. Braden C.
Weise E. S.
Suwanrangsi
Wiedemann P.
Ali-Ahmed M.
Stark K.
Sofos J.
biologi_systems
feedback
feedbac_inhibit
feedbac_regulat
molecul_biology
synapse
transit_state
Rivera
Hathaway S.
division
single _cell
time _scales
Kruse H.
Block C.
Braden C.
Carlos C.
Cowden J.
Forsythe S.
Havelaar A
Lefferts L.
Muytjens H.
cycle
parameter
structu_basis
Toyofuku H.
Vose D.
cell _cycle
cell _divisio
expression
temperature
autoregulation
1973-1977
Gram
McLandsborough
L.A.
Wegener
Huss L.
H.H.
Levin
R. H.
Kvenberg J.
Angulo F. Dalgaard P.
Hultin H.O.
activity
biology
cell
environment
environ_conditi
regulon
state
complex_network
fusion
clock
rhythm
rhythmicity
transduction
Tham W.
Rocourt J.
Igimi S.
molecular
molecul_biology
reliability
+chromatin
+eukaryo_cells
+nucleus
+operon
+transcr_regulat
-code
-gene _transcr
-mrna
-transcription
+combine
+construct
+operon
+transduction
-biomass
-cellula_process
-filament
coli
circadian
circadi_rhythms
1968-1972
Fernandez H.
Balakrish Nair
convergence
process
mrna
transcription
concentration
biology
expression
probability
messenger
filament
biomass
environment
code
gene _transcr
coli
escherichia
escheri_coli
-gain
-intercellular
-perform
+fusion
+human _protein
circadi_clock
Une analyse longitudinale
permet de tracer l'émergence
d'autorités ou les processus
d'enrôlement, de mettre en
évidence les collèges
invisibles correspondant à
des communautés
épistémiques pré-existantes.
cellula_process
rna _polymer
Taylor E.
D'Aoust J.
slice:13 time:13.000-14.000
biomass
gain
mice
mouse
perform
uncertainty
circadian
Jordan D.
Clydesdale F.
fuzzy
intercellular
circadi_rhythms
Comp e e Ne wo
E dos Reny Ne wo
Sca e F ee Ne wo
Even Based Ne wo
Rea Ne wo
On cherche à comprendre
comment la topologie d'un
réseau donné peut influer
sur la dynamique de
diffusion de l'information.
1
08
04
06
04
02
02
0
0
Réseaux bipartis, hypergraphiques, et projetés,
modèle de formation d'équipes
0
20000
40000
Expérience de diffusion
en ligne
Diffusion et topologie
06
D
F
k
k
k
k
k
0
60000
S mu a on T me S eps
40000
80000
Mise en place d'un
protocole expérimentale
pour collecter des données
et mesurer un phénomène
de diffusion in-vivo
80000
100000
120000
l'arbre de diffusion de l'application Happyflu sur internet
simulation d'un processus de diffusion sur
un réseau réel et des réseaux stylisés
Calendrier et perspectives !
Production
Publications
Participation à des projets:
- ANR COBINA - Connaissances Biologiques et Normes d'Action Publiques - 2007-2010
- ANR LinkFluence - 2008 - 2010
- PROJET MOMA
Caldendrier:
- écriture à compter de novembre 2008,
- soutenance escomptée en mars 2009.
- ``How realistic knwoledge diffusion networks should be?", J.P. Cointet & C. Roth, JASSS -- Vol. 10, No. 3 - June
2007
- ``Bottom-up scientific field detection for dynamical and hierarchical science mapping - methodology and case
study", D. Chavalarias & J.P. Cointet, Scientometrics -- Vol. 75, No. 1 - April 2008
- ``Multi-level science mapping with asymmetrical paradigmatic proximity", J-P. Cointet & D. Chavalarias, NHM
(Network and Heterogeneous media) -- Vol. 3, No. 2 - June 2008
Conférences internationales
- ``Cycles in hypergraph-based networks: signal or noise, artefacts or processes", L. Tabourier, J-P. Cointet, C. Roth,
10e rencontres francophones sur les aspects ALGOrithmiques des TELécommunications-- St. Malo -- mai 2008
- ``Science mapping with asymetrical semantic proximity", D. Chavalarias & J.P. Cointet, ECCS : European
Conference on Complex Systems -- Dresden, Germany -- October 2007
- ``Information diffusion on realistic networks", J.P. Cointet & C. Roth, 9th ``francophone summit on
algorithms for telecommunications'' -- Ile d'Oléron, France -- May 2007
- ``Intertemporal topic correlations in online media", J.P. Cointet, E. Faure, C. Roth, ICWSM : International
Conference on Weblogs and Social Media -- Boulder, CO, USA -- March 2007
Organisation journée thématique
- Journée thématique ``Dynamiques de graphes", organisation : J.P. Cointet, Clémence Maginen, Guillaume Valadon,
ISCPIF - 13 octobre 2008