Preface |
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xi | |
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Part 1 Large graphs: an informal introduction |
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1 | (34) |
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Chapter 1 Very large networks |
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3 | (22) |
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1.1 Huge networks everywhere |
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3 | (1) |
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1.2 What to ask about them? |
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4 | (1) |
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1.3 How to obtain information about them? |
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5 | (3) |
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8 | (3) |
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1.5 How to approximate them? |
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11 | (7) |
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1.6 How to run algorithms on them? |
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18 | (4) |
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1.7 Bounded degree graphs |
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22 | (3) |
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Chapter 2 Large graphs in mathematics and physics |
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25 | (10) |
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2.1 External graph theory |
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25 | (7) |
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32 | (3) |
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Part 2 The algebra of graph homomorphisms |
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35 | (78) |
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Chapter 3 Notation and terminology |
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37 | (4) |
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37 | (1) |
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38 | (1) |
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39 | (2) |
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Chapter 4 Graph parameters and connection matrices |
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41 | (14) |
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4.1 Graph parameters and graph properties |
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41 | (1) |
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42 | (3) |
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4.3 Finite connection rank |
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45 | (10) |
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Chapter 5 Graph homomorphisms |
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55 | (28) |
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5.1 Existence of homomorphisms |
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55 | (1) |
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56 | (6) |
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5.3 What hom functions can express |
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62 | (6) |
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5.4 Homomorphism and isomorphism |
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68 | (4) |
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5.5 Independence of homomorphism functions |
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72 | (3) |
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5.6 Characterizing homomorphism numbers |
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75 | (4) |
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5.7 The structure of the homomorphism set |
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79 | (4) |
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Chapter 6 Graph algebras and homomorphism functions |
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83 | (30) |
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6.1 Algebras of quantum graphs |
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83 | (5) |
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6.2 Reflection positivity |
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88 | (6) |
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6.3 Contractors and connectors |
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94 | (7) |
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6.4 Algebras for homomorphism functions |
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101 | (5) |
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6.5 Computing parameters with finite connection rank |
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106 | (2) |
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6.6 The polynomial method |
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108 | (5) |
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Part 3 Limits of dense graph sequences |
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113 | (214) |
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Chapter 7 Kernels and graphons |
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115 | (12) |
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7.1 Kernels, graphons and stepfunctions |
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115 | (1) |
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7.2 Generalizing homomorphisms |
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116 | (5) |
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121 | (1) |
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122 | (2) |
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124 | (3) |
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Chapter 8 The cut distance |
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127 | (14) |
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8.1 The cut distance of graphs |
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127 | (4) |
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8.2 Cut norm and cut distance of kernels |
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131 | (7) |
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8.3 Weak and L1-topologies |
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138 | (3) |
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Chapter 9 Szemeredi partitions |
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141 | (16) |
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9.1 Regularity Lemma for graphs |
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141 | (3) |
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9.2 Regularity Lemma for kernels |
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144 | (5) |
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9.3 Compactness of the graphon space |
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149 | (2) |
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9.4 Fractional and integral overlays |
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151 | (3) |
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9.5 Uniqueness of regularity partitions |
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154 | (3) |
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157 | (16) |
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157 | (1) |
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10.2 Sample concentration |
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158 | (2) |
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10.3 Estimating the distance by sampling |
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160 | (4) |
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10.4 The distance of a sample from the original |
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164 | (3) |
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167 | (2) |
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10.6 Inverse Counting Lemma |
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169 | (1) |
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170 | (3) |
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Chapter 11 Convergence of dense graph sequences |
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173 | (28) |
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11.1 Sampling, homomorphism densities and cut distance |
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173 | (1) |
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11.2 Random graphs as limit objects |
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174 | (6) |
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180 | (5) |
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185 | (8) |
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11.5 Many disguises of graph limits |
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193 | (1) |
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11.6 Convergence of spectra |
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194 | (2) |
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196 | (1) |
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197 | (4) |
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Chapter 12 Convergence from the right |
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201 | (16) |
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12.1 Homomorphisms to the right and multicuts |
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201 | (4) |
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12.2 The overlay functional |
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205 | (2) |
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12.3 Right-convergent graphon sequences |
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207 | (4) |
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12.4 Right-convergent graph sequences |
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211 | (6) |
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Chapter 13 On the structure of graphons |
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217 | (22) |
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13.1 The general form of a graphon |
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217 | (3) |
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13.2 Weak isomorphism III |
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220 | (2) |
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222 | (3) |
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13.4 The topology of a graphon |
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225 | (9) |
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13.5 Symmetries of graphons |
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234 | (5) |
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Chapter 14 The space of graphons |
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239 | (24) |
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14.1 Norms defined by graphs |
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239 | (3) |
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14.2 Other norms on the kernel space |
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242 | (5) |
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14.3 Closures of graph properties |
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247 | (3) |
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250 | (6) |
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256 | (3) |
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14.6 Exponential random graph models |
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259 | (4) |
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Chapter 15 Algorithms for large graphs and graphons |
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263 | (18) |
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15.1 Parameter estimation |
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263 | (3) |
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15.2 Distinguishing graph properties |
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266 | (2) |
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268 | (8) |
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15.4 Computable structures |
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276 | (5) |
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Chapter 16 Extremal theory of dense graphs |
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281 | (36) |
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16.1 Nonnegativity of quantum graphs and reflection positivity |
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281 | (2) |
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16.2 Variational calculus of graphons |
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283 | (2) |
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16.3 Densities of complete graphs |
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285 | (8) |
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16.4 The classical theory of extremal graphs |
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293 | (1) |
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16.5 Local vs. global optima |
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294 | (5) |
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16.6 Deciding inequalities between subgraph densities |
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299 | (8) |
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16.7 Which graphs are extremal? |
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307 | (10) |
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Chapter 17 Multigraphs and decorated graphs |
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317 | (10) |
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17.1 Compact decorated graphs |
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318 | (7) |
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17.2 Multigraphs with unbounded edge multiplicities |
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325 | (2) |
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Part 4 Limits of bounded degree graphs |
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327 | (86) |
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329 | (22) |
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329 | (3) |
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18.2 Measure preserving graphs |
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332 | (6) |
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18.3 Random rooted graphs |
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338 | (6) |
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18.4 Subgraph densities in graphings |
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344 | (2) |
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346 | (3) |
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18.6 Graphings and groups |
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349 | (2) |
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Chapter 19 Convergence of bounded degree graphs |
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351 | (16) |
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19.1 Local convergence and limit |
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351 | (9) |
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19.2 Local-global convergence |
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360 | (7) |
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Chapter 20 Right convergence of bounded degree graphs |
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367 | (16) |
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20.1 Random homomorphisms to the right |
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367 | (8) |
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20.2 Convergence from the right |
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375 | (8) |
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Chapter 21 On the structure of graphings |
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383 | (14) |
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383 | (10) |
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21.2 Homogeneous decomposition |
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393 | (4) |
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Chapter 22 Algorithms for bounded degree graphs |
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397 | (16) |
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22.1 Estimable parameters |
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397 | (5) |
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402 | (3) |
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22.3 Computable structures |
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405 | (8) |
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Part 5 Extensions: a brief survey |
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413 | (20) |
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Chapter 23 Other combinatorial structures |
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415 | (18) |
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23.1 Sparse (but not very sparse) graphs |
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415 | (1) |
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23.2 Edge-coloring models |
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416 | (5) |
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421 | (4) |
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425 | (4) |
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429 | (4) |
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433 | (18) |
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433 | (1) |
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434 | (2) |
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A.3 Some background in probability and measure theory |
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436 | (5) |
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A.4 Moments and the moment problem |
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441 | (4) |
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A.5 Ultraproduct and ultralimit |
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445 | (1) |
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A.6 Vapnik--Chervonenkis dimension |
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445 | (1) |
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A.7 Nonnegative polynomials |
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446 | (1) |
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447 | (4) |
Bibliography |
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451 | (14) |
Author Index |
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465 | (4) |
Subject Index |
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469 | (4) |
Notation Index |
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473 | |