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Geometric graph theory

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is a graph formed from the triangulations of a point set, in which each vertex represents a triangulation and two triangulations are connected by an edge if they differ by the replacement of one edge for another. It is also possible to define related flip graphs for partitions into quadrilaterals or
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is a graph in which each vertex is associated with a set and in which vertices are connected by edges whenever the corresponding sets have a nonempty intersection. When the sets are geometric objects, the result is a geometric graph. For instance, the intersection graph of line segments in one
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of a closed polygon connects each pair of vertices by an edge whenever the line segment connecting the vertices lies entirely in the polygon. It is not known how to test efficiently whether an undirected graph can be represented as a visibility graph.
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between the corresponding hypercube vertices. Many important families of combinatorial structures, such as the acyclic orientations of a graph or the adjacencies between regions in a
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is a graph in which the vertices represent points in the plane, and each edge is assigned the length equal to the Euclidean distance between its endpoints. The
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is a planar straight line graph to which no more edges may be added, so called because every face is necessarily a triangle; a special case of this is the
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is the set of vertices and edges of said polyhedron or polytope. The skeleton of any convex polyhedron is a planar graph, and the skeleton of any
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states that any 3-connected planar graph is the skeleton of a convex polyhedron; for this reason, this class of graphs is also known as the
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pseudotriangles, and for higher-dimensional triangulations. The flip graph of triangulations of a convex polygon forms the skeleton of the
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of a family of points and lines has a vertex for each of these objects and an edge for every incident point-line pair. The Levi graphs of
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of a point set (projections of higher-dimensional convex hulls) can also be represented as a skeleton, of the so-called
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states that the intersection graphs of non-crossing circles are exactly the planar graphs.
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is formed by connecting pairs of points that are a unit distance apart in the plane. The
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have related definitions involving metric embeddings (Bandelt & Chepoi 2008).
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is a graph for which the vertices can be associated with the vertices of a
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and geometric properties of geometric graphs, meaning graphs drawn in the
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Surveys on Discrete and Computational Geometry - Twenty Years Later
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Pach, János (2013). "The beginnings of geometric graph theory".
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is a graph in which the vertices are embedded as points in the
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means. In a stricter sense, geometric graph theory studies
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in the broader sense is a large and amorphous subfield of
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may be represented as a planar straight line graph. A
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The flip graph of the 845:Scheinerman's conjecture 209:Scientific collaboration 16:Subfield of graph theory 858:lead to many important 817:Hadwiger–Nelson problem 638:Category:Network theory 158:Preferential attachment 1063:Geometric graph theory 1047:Geometric graph theory 919:regular triangulations 891:hyperplane arrangement 841:Circle packing theorem 756:Delaunay triangulation 682:Geometric graph theory 527:Random geometric (RGG) 805:minimum spanning tree 643:Category:Graph theory 1049:at Wikimedia Commons 813:unit distance graph 447:Degree distribution 98:Community structure 923:secondary polytope 828:intersection graph 786:Steinitz's theorem 710:topological graphs 631:Network scientists 557:Soft configuration 1045:Media related to 915:Stasheff polytope 823:of these graphs. 790:polyhedral graphs 688:, concerned with 679: 678: 599: 598: 507:Bianconi–Barabási 401: 400: 219:Artificial neural 194:Telecommunication 1070: 1044: 1030: 1006: 987:Erdös centennial 981: 969: 963: 887:Hamming distance 871:visibility graph 860:symmetric graphs 831:dimension is an 821:chromatic number 782:-connected graph 746:states that any 718:spatial networks 671: 664: 657: 542:Stochastic block 532:Hyperbolic (HGN) 481: 480: 344: 333: 265: 264: 173:Social influence 47: 19: 18: 1078: 1077: 1073: 1072: 1071: 1069: 1068: 1067: 1053: 1052: 1037: 1011:Pisanski, TomaĹľ 961: 953: 945:Spatial network 931: 837:unit disk graph 807:of a Euclidean 797:Euclidean graph 736:Euclidean plane 726: 702:Euclidean plane 675: 613: 578:Boolean network 552:Maximum entropy 502:Barabási–Albert 419: 336: 325: 113:Controllability 78:Complex network 65: 52: 51: 50: 49: 48: 32:Network science 17: 12: 11: 5: 1076: 1066: 1065: 1051: 1050: 1036: 1035:External links 1033: 1032: 1031: 1029:on 2007-09-27. 1007: 982: 976:, ed. (2004). 970: 952: 949: 948: 947: 942: 940:Chemical graph 937: 930: 927: 833:interval graph 809:complete graph 784:. Conversely, 744:Fáry's theorem 725: 722: 677: 676: 674: 673: 666: 659: 651: 648: 647: 646: 645: 640: 634: 633: 628: 623: 615: 614: 612: 611: 608: 604: 601: 600: 597: 596: 595: 594: 585: 580: 572: 571: 567: 566: 565: 564: 559: 554: 549: 544: 539: 534: 529: 524: 519: 517:Watts–Strogatz 514: 509: 504: 499: 494: 486: 485: 477: 476: 472: 471: 470: 469: 464: 459: 454: 449: 444: 439: 434: 429: 421: 420: 418: 417: 412: 406: 403: 402: 399: 398: 397: 396: 391: 386: 381: 376: 371: 366: 361: 353: 352: 348: 347: 346: 345: 338:Incidence list 334: 327:Adjacency list 323: 318: 313: 308: 303: 298: 296:Data structure 293: 288: 283: 278: 270: 269: 261: 260: 254: 253: 252: 251: 246: 241: 236: 231: 226: 224:Interdependent 221: 216: 211: 206: 201: 196: 191: 183: 182: 178: 177: 176: 175: 170: 168:Network effect 165: 163:Balance theory 160: 155: 150: 145: 140: 135: 130: 125: 123:Social capital 120: 115: 110: 105: 100: 95: 90: 85: 80: 75: 67: 66: 64: 63: 57: 54: 53: 42: 41: 40: 39: 38: 35: 34: 28: 27: 15: 9: 6: 4: 3: 2: 1075: 1064: 1061: 1060: 1058: 1048: 1043: 1039: 1038: 1028: 1024: 1020: 1016: 1015:Randić, Milan 1012: 1008: 1004: 1000: 996: 992: 988: 983: 979: 975: 971: 967: 960: 955: 954: 946: 943: 941: 938: 936: 933: 932: 926: 924: 920: 916: 912: 911:associahedron 907: 902: 900: 899:median graphs 896: 895:permutohedron 892: 888: 884: 880: 875: 872: 867: 865: 861: 857: 853: 848: 846: 842: 838: 834: 829: 824: 822: 819:concerns the 818: 814: 810: 806: 802: 798: 793: 791: 787: 783: 781: 776: 772: 768: 764: 759: 757: 753: 752:triangulation 749: 745: 741: 740:line segments 737: 733: 732: 721: 719: 715: 711: 707: 703: 699: 698:combinatorial 695: 691: 687: 683: 672: 667: 665: 660: 658: 653: 652: 650: 649: 644: 641: 639: 636: 635: 632: 629: 627: 624: 622: 619: 618: 617: 616: 609: 606: 605: 603: 602: 593: 589: 586: 584: 581: 579: 576: 575: 574: 573: 569: 568: 563: 562:LFR Benchmark 560: 558: 555: 553: 550: 548: 547:Blockmodeling 545: 543: 540: 538: 535: 533: 530: 528: 525: 523: 520: 518: 515: 513: 512:Fitness model 510: 508: 505: 503: 500: 498: 495: 493: 490: 489: 488: 487: 483: 482: 479: 478: 474: 473: 468: 465: 463: 460: 458: 455: 453: 452:Assortativity 450: 448: 445: 443: 440: 438: 435: 433: 430: 428: 425: 424: 423: 422: 416: 413: 411: 408: 407: 405: 404: 395: 392: 390: 387: 385: 382: 380: 377: 375: 372: 370: 367: 365: 362: 360: 357: 356: 355: 354: 350: 349: 343: 339: 335: 332: 328: 324: 322: 319: 317: 314: 312: 309: 307: 304: 302: 299: 297: 294: 292: 289: 287: 284: 282: 279: 277: 274: 273: 272: 271: 267: 266: 263: 262: 259: 256: 255: 250: 247: 245: 242: 240: 237: 235: 232: 230: 227: 225: 222: 220: 217: 215: 212: 210: 207: 205: 202: 200: 197: 195: 192: 190: 187: 186: 185: 184: 181:Network types 180: 179: 174: 171: 169: 166: 164: 161: 159: 156: 154: 151: 149: 146: 144: 141: 139: 136: 134: 131: 129: 128:Link analysis 126: 124: 121: 119: 118:Graph drawing 116: 114: 111: 109: 106: 104: 101: 99: 96: 94: 91: 89: 86: 84: 81: 79: 76: 74: 71: 70: 69: 68: 62: 59: 58: 56: 55: 46: 37: 36: 33: 30: 29: 25: 21: 20: 1027:the original 1022: 986: 977: 965: 922: 903: 879:partial cube 876: 868: 849: 825: 796: 794: 779: 774: 760: 748:planar graph 729: 727: 686:graph theory 681: 680: 537:Hierarchical 492:Random graph 340: / 329: / 311:Neighborhood 153:Transitivity 133:Optimization 974:Pach, János 692:defined by 583:agent based 497:ErdĹ‘s–RĂ©nyi 138:Reciprocity 103:Percolation 88:Small-world 951:References 906:flip graph 852:Levi graph 767:polyhedron 610:Categories 467:Efficiency 462:Modularity 442:Clustering 427:Centrality 415:Algorithms 239:Dependency 214:Biological 93:Scale-free 883:hypercube 694:geometric 359:Bipartite 281:Component 199:Transport 148:Homophily 108:Evolution 83:Contagion 1057:Category 1017:(2000). 929:See also 771:polytope 763:skeleton 714:vertices 626:Software 588:Epidemic 570:Dynamics 484:Topology 457:Distance 394:Weighted 369:Directed 364:Complete 268:Features 229:Semantic 24:a series 22:Part of 1003:3203608 803:is the 410:Metrics 379:Labeled 249:on-Chip 234:Spatial 143:Closure 1001:  839:. The 761:The 1- 708:, and 690:graphs 621:Topics 475:Models 432:Degree 389:Random 342:matrix 331:matrix 321:Vertex 276:Clique 258:Graphs 204:Social 61:Theory 962:(PDF) 864:cages 765:of a 706:edges 607:Lists 437:Motif 384:Multi 374:Hyper 351:Types 291:Cycle 73:Graph 869:The 862:and 316:Path 306:Loop 301:Edge 244:Flow 991:doi 913:or 826:An 769:or 592:SIR 286:Cut 1059:: 1013:; 999:MR 997:. 964:. 925:. 904:A 877:A 866:. 850:A 795:A 792:. 742:. 728:A 720:. 26:on 1005:. 993:: 780:k 775:k 670:e 663:t 656:v 590:/

Index

a series
Network science
Internet_map_1024.jpg
Theory
Graph
Complex network
Contagion
Small-world
Scale-free
Community structure
Percolation
Evolution
Controllability
Graph drawing
Social capital
Link analysis
Optimization
Reciprocity
Closure
Homophily
Transitivity
Preferential attachment
Balance theory
Network effect
Social influence
Informational (computing)
Telecommunication
Transport
Social
Scientific collaboration

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