Nothing
R/getLabels.R
In QuACN: QuACN: Quantitative Analysis of Complex Networks
Defines functions
getLabels
Documented in
getLabels
getLabels <- function(l){
return(.labels[[l]])
}
#labels of the indiecs - can be useful for plots
.labels=list(
wiener=expression(W),
harary=expression(H),
balabanJ=expression(J),
meanDistanceDeviation=expression(delta_mu),
compactness=expression(C),
productOfRowSums=expression(PRS),
hyperDistancePathIndex=expression(D[p]),
dobrynin.eccentricityGraph=expression(e),
dobrynin.avgeccOfG=expression(e[av]),
dobrynin.ecentricGraph=expression(delta_G),
dobrynin.graphIntegration=expression(D),
dobrynin.unipolarity=expression(D^star),
dobrynin.variation=expression(var),
dobrynin.centralization=expression(delta_G^star),
dobrynin.avgDistance=expression(D[av]),
dobrynin.meanDistVertexDeviation=expression(delta_D),
totalAdjacency=expression(A),
zagreb1=expression(Z[1]),
zagreb2=expression(Z[2]),
modifiedZagreb=expression(MZI),
augmentedZagreb=expression(AZI),
variableZagreb=expression(VZI),
randic=expression(R),
complexityIndexB=expression(B),
normalizedEdgeComplexity=expression(E[N]),
atomBondConnectivity=expression(ABC),
geometricArithmetic1=expression(GA1),
geometricArithmetic2=expression(GA2),
geometricArithmetic3=expression(GA3),
narumiKatayama=expression(NK),
topologicalInfoContent=expression(I[orb]),
bonchev1=expression(I[D]),
bonchev2=expression(I[D]^W),
bonchev3=expression(I[D]^E),
bertz=expression(C),
radialCentric=expression(I[C,R]),
vertexDegree=expression(I[deg]),
balabanlike1=expression(U),
balabanlike2=expression(X),
graphVertexComplexity=expression(I[VC]^v),
graphDistanceComplexity=expression(I[VC]),
informationBondIndex=expression(I[B]),
edgeEqualityMIC=expression(I[chi]^E),
edgeMagnitudeMIC=expression(I[chi]^M),
symmetryIndex=expression(S),
distanceDegreeMIC=expression(I[delta[D]]),
distanceDegreeEquality=expression(I[D,delta[D]]),
distanceDegreeCompactness=expression(I[C,delta[D]]),
informationLayerIndex=expression(I[Sp]),
offdiagonal=expression(OdC),
spanningTreeSensitivity.STS=expression(STS),
spanningTreeSensitivity.STSD=expression(STSD),
distanceDegreeCentric=expression(I[C,deg]),
distanceCodeCentric=expression(I[C,code]),
infoTheoreticGCM_vertcent_exp.entropy=expression(I[f^C[2],exp]),
infoTheoreticGCM_vertcent_exp.distance=expression(I[f^C[2],exp]^lambda),
infoTheoreticGCM_vertcent_lin.entropy=expression(I[f^C[2],lin]),
infoTheoreticGCM_vertcent_lin.distance=expression(I[f^C[2],lin]^lambda),
infoTheoreticGCM_sphere_exp.entropy=expression(I[f^V,exp]),
infoTheoreticGCM_sphere_exp.distance=expression(I[f^V,exp]^lambda),
infoTheoreticGCM_sphere_lin.entropy=expression(I[f^V,lin]),
infoTheoreticGCM_sphere_lin.distance=expression(I[f^V,lin]^lambda),
infoTheoreticGCM_pathlength_exp.entropy=expression(I[f^P[2],exp]),
infoTheoreticGCM_pathlength_exp.distance=expression(I[f^P[2],exp]^lambda),
infoTheoreticGCM_pathlength_lin.entropy=expression(I[f^P[2],lin]),
infoTheoreticGCM_pathlength_lin.distance=expression(I[f^P[2],lin]^lambda),
infoTheoreticGCM_degree_exp.entropy=expression(I[f^deg,exp]),
infoTheoreticGCM_degree_exp.distance=expression(I[f^deg,exp]^lambda),
infoTheoreticGCM_degree_lin.entropy=expression(I[f^deg,lin]),
infoTheoreticGCM_degree_lin.distance=expression(I[f^deg,lin]^lambda),
infoTheoreticLabeledV1_exp.entropy=expression(I[f^V[1],exp]),
infoTheoreticLabeledV1_exp.distance=expression(I[f^V[1],exp]^lambda),
infoTheoreticLabeledV1_lin.entropy=expression(I[f^V[1],lin]),
infoTheoreticLabeledV1_lin.distance=expression(I[f^V[1],lin]^lambda),
infoTheoreticLabeledV2.entropy=expression(I[f^V[2]]),
infoTheoreticLabeledV2.distance=expression(I[f^V[2]]^lambda),
infoTheoreticLabeledE_exp.entropy=expression(I[f^E,exp]),
infoTheoreticLabeledE_exp.distance=expression(I[f^E,exp]^lambda),
infoTheoreticLabeledE_lin.entropy=expression(I[f^E,lin]),
infoTheoreticLabeledE_lin.distance=expression(I[f^E,lin]^lambda),
eigenvalueBased_adjacencyMatrix.HMs=expression(H[M[adj],s]),
eigenvalueBased_adjacencyMatrix.SMs=expression(S[M[adj],s]),
eigenvalueBased_adjacencyMatrix.ISMs=expression(IS[M[adj],s]),
eigenvalueBased_adjacencyMatrix.PMs=expression(P[M[adj],s]),
eigenvalueBased_adjacencyMatrix.IPMs=expression(IP[M[adj],s]),
eigenvalueBased_adjacencyMatrix_2.HMs=expression(H[M[adj],s,2]),
eigenvalueBased_adjacencyMatrix_2.SMs=expression(S[M[adj],s,2]),
eigenvalueBased_adjacencyMatrix_2.ISMs=expression(IS[M[adj],s,2]),
eigenvalueBased_adjacencyMatrix_2.PMs=expression(P[M[adj],s,2]),
eigenvalueBased_adjacencyMatrix_2.IPMs=expression(IP[M[adj],s,2]),
eigenvalueBased_laplaceMatrix.HMs=expression(H[M[lap],s]),
eigenvalueBased_laplaceMatrix.SMs=expression(S[M[lap],s]),
eigenvalueBased_laplaceMatrix.ISMs=expression(IS[M[lap],s]),
eigenvalueBased_laplaceMatrix.PMs=expression(P[M[lap],s]),
eigenvalueBased_laplaceMatrix.IPMs=expression(IP[M[lap],s]),
eigenvalueBased_laplaceMatrix_2.HMs=expression(H[M[lap],s,2]),
eigenvalueBased_laplaceMatrix_2.SMs=expression(S[M[lap],s,2]),
eigenvalueBased_laplaceMatrix_2.ISMs=expression(IS[M[lap],s,2]),
eigenvalueBased_laplaceMatrix_2.PMs=expression(P[M[lap],s,2]),
eigenvalueBased_laplaceMatrix_2.IPMs=expression(IP[M[lap],s,2]),
eigenvalueBased_augmentedMatrix.HMs=expression(H[M[aug],s]),
eigenvalueBased_augmentedMatrix.SMs=expression(S[M[aug],s]),
eigenvalueBased_augmentedMatrix.ISMs=expression(IS[M[aug],s]),
eigenvalueBased_augmentedMatrix.PMs=expression(P[M[aug],s]),
eigenvalueBased_augmentedMatrix.IPMs=expression(IP[M[aug],s]),
eigenvalueBased_augmentedMatrix_2.HMs=expression(H[M[aug],s,2]),
eigenvalueBased_augmentedMatrix_2.SMs=expression(S[M[aug],s,2]),
eigenvalueBased_augmentedMatrix_2.ISMs=expression(IS[M[aug],s,2]),
eigenvalueBased_augmentedMatrix_2.PMs=expression(P[M[aug],s,2]),
eigenvalueBased_augmentedMatrix_2.IPMs=expression(IP[M[aug],s,2]),
eigenvalueBased_extendedAdjacencyMatrix.HMs=expression(H[M[ea],s]),
eigenvalueBased_extendedAdjacencyMatrix.SMs=expression(S[M[ea],s]),
eigenvalueBased_extendedAdjacencyMatrix.ISMs=expression(IS[M[ea],s]),
eigenvalueBased_extendedAdjacencyMatrix.PMs=expression(P[M[ea],s]),
eigenvalueBased_extendedAdjacencyMatrix.IPMs=expression(IP[M[ea],s]),
eigenvalueBased_extendedAdjacencyMatrix_2.HMs=expression(H[M[ea],s,2]),
eigenvalueBased_extendedAdjacencyMatrix_2.SMs=expression(S[M[ea],s,2]),
eigenvalueBased_extendedAdjacencyMatrix_2.ISMs=expression(IS[M[ea],s,2]),
eigenvalueBased_extendedAdjacencyMatrix_2.PMs=expression(P[M[ea],s,2]),
eigenvalueBased_extendedAdjacencyMatrix_2.IPMs=expression(IP[M[ea],s,2]),
eigenvalueBased_vertConnectMatrix.HMs=expression(H[M[con],s]),
eigenvalueBased_vertConnectMatrix.SMs=expression(S[M[con],s]),
eigenvalueBased_vertConnectMatrix.ISMs=expression(IS[M[con],s]),
eigenvalueBased_vertConnectMatrix.PMs=expression(P[M[con],s]),
eigenvalueBased_vertConnectMatrix.IPMs=expression(IP[M[con],s]),
eigenvalueBased_vertConnectMatrix_2.HMs=expression(H[M[con],s,2]),
eigenvalueBased_vertConnectMatrix_2.SMs=expression(S[M[con],s,2]),
eigenvalueBased_vertConnectMatrix_2.ISMs=expression(IS[M[con],s,2]),
eigenvalueBased_vertConnectMatrix_2.PMs=expression(P[M[con],s,2]),
eigenvalueBased_vertConnectMatrix_2.IPMs=expression(IP[M[con],s,2]),
eigenvalueBased_randomWalkMatrix.HMs=expression(H[M[rw],s]),
eigenvalueBased_randomWalkMatrix.SMs=expression(S[M[rw],s]),
eigenvalueBased_randomWalkMatrix.ISMs=expression(IS[M[rw],s]),
eigenvalueBased_randomWalkMatrix.PMs=expression(P[M[rw],s]),
eigenvalueBased_randomWalkMatrix.IPMs=expression(IP[M[rw],s]),
eigenvalueBased_randomWalkMatrix_2.HMs=expression(H[M[rw],s,2]),
eigenvalueBased_randomWalkMatrix_2.SMs=expression(S[M[rw],s,2]),
eigenvalueBased_randomWalkMatrix_2.ISMs=expression(IS[M[rw],s,2]),
eigenvalueBased_randomWalkMatrix_2.PMs=expression(P[M[rw],s,2]),
eigenvalueBased_randomWalkMatrix_2.IPMs=expression(IP[M[rw],s,2]),
eigenvalueBased_distanceMatrix.HMs=expression(H[M[dm],s]),
eigenvalueBased_distanceMatrix.SMs=expression(S[M[dm],s]),
eigenvalueBased_distanceMatrix.ISMs=expression(IS[M[dm],s]),
eigenvalueBased_distanceMatrix.PMs=expression(P[M[dm],s]),
eigenvalueBased_distanceMatrix.IPMs=expression(IP[M[dm],s]),
eigenvalueBased_distanceMatrix_2.HMs=expression(H[M[dm],s,2]),
eigenvalueBased_distanceMatrix_2.SMs=expression(S[M[dm],s,2]),
eigenvalueBased_distanceMatrix_2.ISMs=expression(IS[M[dm],s,2]),
eigenvalueBased_distanceMatrix_2.PMs=expression(P[M[dm],s,2]),
eigenvalueBased_distanceMatrix_2.IPMs=expression(IP[M[dm],s,2]),
eigenvalueBased_distancePathMatrix.HMs=expression(H[M[dpm],s]),
eigenvalueBased_distancePathMatrix.SMs=expression(S[M[dpm],s]),
eigenvalueBased_distancePathMatrix.ISMs=expression(IS[M[dpm],s]),
eigenvalueBased_distancePathMatrix.PMs=expression(P[M[dpm],s]),
eigenvalueBased_distancePathMatrix.IPMs=expression(IP[M[dpm],s]),
eigenvalueBased_distancePathMatrix_2.HMs=expression(H[M[dpm],s,2]),
eigenvalueBased_distancePathMatrix_2.SMs=expression(S[M[dpm],s,2]),
eigenvalueBased_distancePathMatrix_2.ISMs=expression(IS[M[dpm],s,2]),
eigenvalueBased_distancePathMatrix_2.PMs=expression(P[M[dpm],s,2]),
eigenvalueBased_distancePathMatrix_2.IPMs=expression(IP[M[dpm],s,2]),
eigenvalueBased_weightStrucFuncMatrix_lin.HMs=expression(H[M[IM1],s]),
eigenvalueBased_weightStrucFuncMatrix_lin.SMs=expression(S[M[IM1],s]),
eigenvalueBased_weightStrucFuncMatrix_lin.ISMs=expression(IS[M[IM1],s]),
eigenvalueBased_weightStrucFuncMatrix_lin.PMs=expression(P[M[IM1],s]),
eigenvalueBased_weightStrucFuncMatrix_lin.IPMs=expression(IP[M[IM1],s]),
eigenvalueBased_weightStrucFuncMatrix_lin_2.HMs=expression(H[M[IM1],s,2]),
eigenvalueBased_weightStrucFuncMatrix_lin_2.SMs=expression(S[M[IM1],s,2]),
eigenvalueBased_weightStrucFuncMatrix_lin_2.ISMs=expression(IS[M[IM1],s,2]),
eigenvalueBased_weightStrucFuncMatrix_lin_2.PMs=expression(P[M[IM1],s,2]),
eigenvalueBased_weightStrucFuncMatrix_lin_2.IPMs=expression(IP[M[IM1],s,2]),
eigenvalueBased_weightStrucFuncMatrix_exp.HMs=expression(H[M[IM2],s]),
eigenvalueBased_weightStrucFuncMatrix_exp.SMs=expression(S[M[IM2],s]),
eigenvalueBased_weightStrucFuncMatrix_exp.ISMs=expression(IS[M[IM2],s]),
eigenvalueBased_weightStrucFuncMatrix_exp.PMs=expression(P[M[IM2],s]),
eigenvalueBased_weightStrucFuncMatrix_exp.IPMs=expression(IP[M[IM2],s]),
eigenvalueBased_weightStrucFuncMatrix_exp_2.HMs=expression(H[M[IM2],s,2]),
eigenvalueBased_weightStrucFuncMatrix_exp_2.SMs=expression(S[M[IM2],s,2]),
eigenvalueBased_weightStrucFuncMatrix_exp_2.ISMs=expression(IS[M[IM2],s,2]),
eigenvalueBased_weightStrucFuncMatrix_exp_2.PMs=expression(P[M[IM2],s,2]),
eigenvalueBased_weightStrucFuncMatrix_exp_2.IPMs=expression(IP[M[IM2],s,2]),
energy=expression(E),
laplacianEnergy=expression(LE),
estrada=expression(EE),
laplacianEstrada=expression(LEE),
spectralRadius=expression(SpRad),
oneEdgeDeletedSubgraphComplexity.C_1eST=expression(C[1,ST]),
oneEdgeDeletedSubgraphComplexity.C_1eSpec=expression(C[1,Spec]),
twoEdgesDeletedSubgraphComplexity=expression(C[2,Spec]),
globalClusteringCoeff=expression(C),
mediumArticulation=expression(MAg),
efficiency=expression(Ce),
graphIndexComplexity=expression(Cr),
connectivityID=expression(CID),
minConnectivityID=expression(MINCID),
primeID=expression(PID),
bondOrderID=expression(piID),
balabanID=expression(BID),
minBalabanID=expression(MINBID),
weightedID.WID=expression(WID),
weightedID.SID=expression(SID),
huXuID=expression(HXID)
)
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QuACN documentation built on May 2, 2019, 8:18 a.m.
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Defines functions getLabels
Documented in getLabels
getLabels <- function(l){
return(.labels[[l]])
}
#labels of the indiecs - can be useful for plots
.labels=list(
wiener=expression(W),
harary=expression(H),
balabanJ=expression(J),
meanDistanceDeviation=expression(delta_mu),
compactness=expression(C),
productOfRowSums=expression(PRS),
hyperDistancePathIndex=expression(D[p]),
dobrynin.eccentricityGraph=expression(e),
dobrynin.avgeccOfG=expression(e[av]),
dobrynin.ecentricGraph=expression(delta_G),
dobrynin.graphIntegration=expression(D),
dobrynin.unipolarity=expression(D^star),
dobrynin.variation=expression(var),
dobrynin.centralization=expression(delta_G^star),
dobrynin.avgDistance=expression(D[av]),
dobrynin.meanDistVertexDeviation=expression(delta_D),
totalAdjacency=expression(A),
zagreb1=expression(Z[1]),
zagreb2=expression(Z[2]),
modifiedZagreb=expression(MZI),
augmentedZagreb=expression(AZI),
variableZagreb=expression(VZI),
randic=expression(R),
complexityIndexB=expression(B),
normalizedEdgeComplexity=expression(E[N]),
atomBondConnectivity=expression(ABC),
geometricArithmetic1=expression(GA1),
geometricArithmetic2=expression(GA2),
geometricArithmetic3=expression(GA3),
narumiKatayama=expression(NK),
topologicalInfoContent=expression(I[orb]),
bonchev1=expression(I[D]),
bonchev2=expression(I[D]^W),
bonchev3=expression(I[D]^E),
bertz=expression(C),
radialCentric=expression(I[C,R]),
vertexDegree=expression(I[deg]),
balabanlike1=expression(U),
balabanlike2=expression(X),
graphVertexComplexity=expression(I[VC]^v),
graphDistanceComplexity=expression(I[VC]),
informationBondIndex=expression(I[B]),
edgeEqualityMIC=expression(I[chi]^E),
edgeMagnitudeMIC=expression(I[chi]^M),
symmetryIndex=expression(S),
distanceDegreeMIC=expression(I[delta[D]]),
distanceDegreeEquality=expression(I[D,delta[D]]),
distanceDegreeCompactness=expression(I[C,delta[D]]),
informationLayerIndex=expression(I[Sp]),
offdiagonal=expression(OdC),
spanningTreeSensitivity.STS=expression(STS),
spanningTreeSensitivity.STSD=expression(STSD),
distanceDegreeCentric=expression(I[C,deg]),
distanceCodeCentric=expression(I[C,code]),
infoTheoreticGCM_vertcent_exp.entropy=expression(I[f^C[2],exp]),
infoTheoreticGCM_vertcent_exp.distance=expression(I[f^C[2],exp]^lambda),
infoTheoreticGCM_vertcent_lin.entropy=expression(I[f^C[2],lin]),
infoTheoreticGCM_vertcent_lin.distance=expression(I[f^C[2],lin]^lambda),
infoTheoreticGCM_sphere_exp.entropy=expression(I[f^V,exp]),
infoTheoreticGCM_sphere_exp.distance=expression(I[f^V,exp]^lambda),
infoTheoreticGCM_sphere_lin.entropy=expression(I[f^V,lin]),
infoTheoreticGCM_sphere_lin.distance=expression(I[f^V,lin]^lambda),
infoTheoreticGCM_pathlength_exp.entropy=expression(I[f^P[2],exp]),
infoTheoreticGCM_pathlength_exp.distance=expression(I[f^P[2],exp]^lambda),
infoTheoreticGCM_pathlength_lin.entropy=expression(I[f^P[2],lin]),
infoTheoreticGCM_pathlength_lin.distance=expression(I[f^P[2],lin]^lambda),
infoTheoreticGCM_degree_exp.entropy=expression(I[f^deg,exp]),
infoTheoreticGCM_degree_exp.distance=expression(I[f^deg,exp]^lambda),
infoTheoreticGCM_degree_lin.entropy=expression(I[f^deg,lin]),
infoTheoreticGCM_degree_lin.distance=expression(I[f^deg,lin]^lambda),
infoTheoreticLabeledV1_exp.entropy=expression(I[f^V[1],exp]),
infoTheoreticLabeledV1_exp.distance=expression(I[f^V[1],exp]^lambda),
infoTheoreticLabeledV1_lin.entropy=expression(I[f^V[1],lin]),
infoTheoreticLabeledV1_lin.distance=expression(I[f^V[1],lin]^lambda),
infoTheoreticLabeledV2.entropy=expression(I[f^V[2]]),
infoTheoreticLabeledV2.distance=expression(I[f^V[2]]^lambda),
infoTheoreticLabeledE_exp.entropy=expression(I[f^E,exp]),
infoTheoreticLabeledE_exp.distance=expression(I[f^E,exp]^lambda),
infoTheoreticLabeledE_lin.entropy=expression(I[f^E,lin]),
infoTheoreticLabeledE_lin.distance=expression(I[f^E,lin]^lambda),
eigenvalueBased_adjacencyMatrix.HMs=expression(H[M[adj],s]),
eigenvalueBased_adjacencyMatrix.SMs=expression(S[M[adj],s]),
eigenvalueBased_adjacencyMatrix.ISMs=expression(IS[M[adj],s]),
eigenvalueBased_adjacencyMatrix.PMs=expression(P[M[adj],s]),
eigenvalueBased_adjacencyMatrix.IPMs=expression(IP[M[adj],s]),
eigenvalueBased_adjacencyMatrix_2.HMs=expression(H[M[adj],s,2]),
eigenvalueBased_adjacencyMatrix_2.SMs=expression(S[M[adj],s,2]),
eigenvalueBased_adjacencyMatrix_2.ISMs=expression(IS[M[adj],s,2]),
eigenvalueBased_adjacencyMatrix_2.PMs=expression(P[M[adj],s,2]),
eigenvalueBased_adjacencyMatrix_2.IPMs=expression(IP[M[adj],s,2]),
eigenvalueBased_laplaceMatrix.HMs=expression(H[M[lap],s]),
eigenvalueBased_laplaceMatrix.SMs=expression(S[M[lap],s]),
eigenvalueBased_laplaceMatrix.ISMs=expression(IS[M[lap],s]),
eigenvalueBased_laplaceMatrix.PMs=expression(P[M[lap],s]),
eigenvalueBased_laplaceMatrix.IPMs=expression(IP[M[lap],s]),
eigenvalueBased_laplaceMatrix_2.HMs=expression(H[M[lap],s,2]),
eigenvalueBased_laplaceMatrix_2.SMs=expression(S[M[lap],s,2]),
eigenvalueBased_laplaceMatrix_2.ISMs=expression(IS[M[lap],s,2]),
eigenvalueBased_laplaceMatrix_2.PMs=expression(P[M[lap],s,2]),
eigenvalueBased_laplaceMatrix_2.IPMs=expression(IP[M[lap],s,2]),
eigenvalueBased_augmentedMatrix.HMs=expression(H[M[aug],s]),
eigenvalueBased_augmentedMatrix.SMs=expression(S[M[aug],s]),
eigenvalueBased_augmentedMatrix.ISMs=expression(IS[M[aug],s]),
eigenvalueBased_augmentedMatrix.PMs=expression(P[M[aug],s]),
eigenvalueBased_augmentedMatrix.IPMs=expression(IP[M[aug],s]),
eigenvalueBased_augmentedMatrix_2.HMs=expression(H[M[aug],s,2]),
eigenvalueBased_augmentedMatrix_2.SMs=expression(S[M[aug],s,2]),
eigenvalueBased_augmentedMatrix_2.ISMs=expression(IS[M[aug],s,2]),
eigenvalueBased_augmentedMatrix_2.PMs=expression(P[M[aug],s,2]),
eigenvalueBased_augmentedMatrix_2.IPMs=expression(IP[M[aug],s,2]),
eigenvalueBased_extendedAdjacencyMatrix.HMs=expression(H[M[ea],s]),
eigenvalueBased_extendedAdjacencyMatrix.SMs=expression(S[M[ea],s]),
eigenvalueBased_extendedAdjacencyMatrix.ISMs=expression(IS[M[ea],s]),
eigenvalueBased_extendedAdjacencyMatrix.PMs=expression(P[M[ea],s]),
eigenvalueBased_extendedAdjacencyMatrix.IPMs=expression(IP[M[ea],s]),
eigenvalueBased_extendedAdjacencyMatrix_2.HMs=expression(H[M[ea],s,2]),
eigenvalueBased_extendedAdjacencyMatrix_2.SMs=expression(S[M[ea],s,2]),
eigenvalueBased_extendedAdjacencyMatrix_2.ISMs=expression(IS[M[ea],s,2]),
eigenvalueBased_extendedAdjacencyMatrix_2.PMs=expression(P[M[ea],s,2]),
eigenvalueBased_extendedAdjacencyMatrix_2.IPMs=expression(IP[M[ea],s,2]),
eigenvalueBased_vertConnectMatrix.HMs=expression(H[M[con],s]),
eigenvalueBased_vertConnectMatrix.SMs=expression(S[M[con],s]),
eigenvalueBased_vertConnectMatrix.ISMs=expression(IS[M[con],s]),
eigenvalueBased_vertConnectMatrix.PMs=expression(P[M[con],s]),
eigenvalueBased_vertConnectMatrix.IPMs=expression(IP[M[con],s]),
eigenvalueBased_vertConnectMatrix_2.HMs=expression(H[M[con],s,2]),
eigenvalueBased_vertConnectMatrix_2.SMs=expression(S[M[con],s,2]),
eigenvalueBased_vertConnectMatrix_2.ISMs=expression(IS[M[con],s,2]),
eigenvalueBased_vertConnectMatrix_2.PMs=expression(P[M[con],s,2]),
eigenvalueBased_vertConnectMatrix_2.IPMs=expression(IP[M[con],s,2]),
eigenvalueBased_randomWalkMatrix.HMs=expression(H[M[rw],s]),
eigenvalueBased_randomWalkMatrix.SMs=expression(S[M[rw],s]),
eigenvalueBased_randomWalkMatrix.ISMs=expression(IS[M[rw],s]),
eigenvalueBased_randomWalkMatrix.PMs=expression(P[M[rw],s]),
eigenvalueBased_randomWalkMatrix.IPMs=expression(IP[M[rw],s]),
eigenvalueBased_randomWalkMatrix_2.HMs=expression(H[M[rw],s,2]),
eigenvalueBased_randomWalkMatrix_2.SMs=expression(S[M[rw],s,2]),
eigenvalueBased_randomWalkMatrix_2.ISMs=expression(IS[M[rw],s,2]),
eigenvalueBased_randomWalkMatrix_2.PMs=expression(P[M[rw],s,2]),
eigenvalueBased_randomWalkMatrix_2.IPMs=expression(IP[M[rw],s,2]),
eigenvalueBased_distanceMatrix.HMs=expression(H[M[dm],s]),
eigenvalueBased_distanceMatrix.SMs=expression(S[M[dm],s]),
eigenvalueBased_distanceMatrix.ISMs=expression(IS[M[dm],s]),
eigenvalueBased_distanceMatrix.PMs=expression(P[M[dm],s]),
eigenvalueBased_distanceMatrix.IPMs=expression(IP[M[dm],s]),
eigenvalueBased_distanceMatrix_2.HMs=expression(H[M[dm],s,2]),
eigenvalueBased_distanceMatrix_2.SMs=expression(S[M[dm],s,2]),
eigenvalueBased_distanceMatrix_2.ISMs=expression(IS[M[dm],s,2]),
eigenvalueBased_distanceMatrix_2.PMs=expression(P[M[dm],s,2]),
eigenvalueBased_distanceMatrix_2.IPMs=expression(IP[M[dm],s,2]),
eigenvalueBased_distancePathMatrix.HMs=expression(H[M[dpm],s]),
eigenvalueBased_distancePathMatrix.SMs=expression(S[M[dpm],s]),
eigenvalueBased_distancePathMatrix.ISMs=expression(IS[M[dpm],s]),
eigenvalueBased_distancePathMatrix.PMs=expression(P[M[dpm],s]),
eigenvalueBased_distancePathMatrix.IPMs=expression(IP[M[dpm],s]),
eigenvalueBased_distancePathMatrix_2.HMs=expression(H[M[dpm],s,2]),
eigenvalueBased_distancePathMatrix_2.SMs=expression(S[M[dpm],s,2]),
eigenvalueBased_distancePathMatrix_2.ISMs=expression(IS[M[dpm],s,2]),
eigenvalueBased_distancePathMatrix_2.PMs=expression(P[M[dpm],s,2]),
eigenvalueBased_distancePathMatrix_2.IPMs=expression(IP[M[dpm],s,2]),
eigenvalueBased_weightStrucFuncMatrix_lin.HMs=expression(H[M[IM1],s]),
eigenvalueBased_weightStrucFuncMatrix_lin.SMs=expression(S[M[IM1],s]),
eigenvalueBased_weightStrucFuncMatrix_lin.ISMs=expression(IS[M[IM1],s]),
eigenvalueBased_weightStrucFuncMatrix_lin.PMs=expression(P[M[IM1],s]),
eigenvalueBased_weightStrucFuncMatrix_lin.IPMs=expression(IP[M[IM1],s]),
eigenvalueBased_weightStrucFuncMatrix_lin_2.HMs=expression(H[M[IM1],s,2]),
eigenvalueBased_weightStrucFuncMatrix_lin_2.SMs=expression(S[M[IM1],s,2]),
eigenvalueBased_weightStrucFuncMatrix_lin_2.ISMs=expression(IS[M[IM1],s,2]),
eigenvalueBased_weightStrucFuncMatrix_lin_2.PMs=expression(P[M[IM1],s,2]),
eigenvalueBased_weightStrucFuncMatrix_lin_2.IPMs=expression(IP[M[IM1],s,2]),
eigenvalueBased_weightStrucFuncMatrix_exp.HMs=expression(H[M[IM2],s]),
eigenvalueBased_weightStrucFuncMatrix_exp.SMs=expression(S[M[IM2],s]),
eigenvalueBased_weightStrucFuncMatrix_exp.ISMs=expression(IS[M[IM2],s]),
eigenvalueBased_weightStrucFuncMatrix_exp.PMs=expression(P[M[IM2],s]),
eigenvalueBased_weightStrucFuncMatrix_exp.IPMs=expression(IP[M[IM2],s]),
eigenvalueBased_weightStrucFuncMatrix_exp_2.HMs=expression(H[M[IM2],s,2]),
eigenvalueBased_weightStrucFuncMatrix_exp_2.SMs=expression(S[M[IM2],s,2]),
eigenvalueBased_weightStrucFuncMatrix_exp_2.ISMs=expression(IS[M[IM2],s,2]),
eigenvalueBased_weightStrucFuncMatrix_exp_2.PMs=expression(P[M[IM2],s,2]),
eigenvalueBased_weightStrucFuncMatrix_exp_2.IPMs=expression(IP[M[IM2],s,2]),
energy=expression(E),
laplacianEnergy=expression(LE),
estrada=expression(EE),
laplacianEstrada=expression(LEE),
spectralRadius=expression(SpRad),
oneEdgeDeletedSubgraphComplexity.C_1eST=expression(C[1,ST]),
oneEdgeDeletedSubgraphComplexity.C_1eSpec=expression(C[1,Spec]),
twoEdgesDeletedSubgraphComplexity=expression(C[2,Spec]),
globalClusteringCoeff=expression(C),
mediumArticulation=expression(MAg),
efficiency=expression(Ce),
graphIndexComplexity=expression(Cr),
connectivityID=expression(CID),
minConnectivityID=expression(MINCID),
primeID=expression(PID),
bondOrderID=expression(piID),
balabanID=expression(BID),
minBalabanID=expression(MINBID),
weightedID.WID=expression(WID),
weightedID.SID=expression(SID),
huXuID=expression(HXID)
)
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