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En el instante 24 de octubre de 2025, 0:47:00 UTC,
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Añadido recurso Mejorando el ranking de nodos en grafos dirigidos acíclicos, con implicaciones en análisis de redes urbanas a Mejorando el ranking de nodos en grafos dirigidos acíclicos, con implicaciones en análisis de redes urbanas
| f | 1 | { | f | 1 | { |
| 2 | "author": "Alberto Garc\u00eda Robledo, Mahboobeh Zangiabady, Jotte | 2 | "author": "Alberto Garc\u00eda Robledo, Mahboobeh Zangiabady, Jotte | ||
| 3 | Sonneveld", | 3 | Sonneveld", | ||
| 4 | "author_email": null, | 4 | "author_email": null, | ||
| 5 | "creator_user_id": "a3da3ec9-3fd4-47a4-8d04-0a90b09614e0", | 5 | "creator_user_id": "a3da3ec9-3fd4-47a4-8d04-0a90b09614e0", | ||
| 6 | "extras": [ | 6 | "extras": [ | ||
| 7 | { | 7 | { | ||
| 8 | "key": "Identificador hash", | 8 | "key": "Identificador hash", | ||
| 9 | "value": "b8731a9979a8" | 9 | "value": "b8731a9979a8" | ||
| 10 | }, | 10 | }, | ||
| 11 | { | 11 | { | ||
| 12 | "key": "Instituciones", | 12 | "key": "Instituciones", | ||
| 13 | "value": "SECIHTI-CentroGeo, University of Twente, Eye Security" | 13 | "value": "SECIHTI-CentroGeo, University of Twente, Eye Security" | ||
| 14 | }, | 14 | }, | ||
| 15 | { | 15 | { | ||
| 16 | "key": "Subt\u00edtulo", | 16 | "key": "Subt\u00edtulo", | ||
| 17 | "value": "Optimizaci\u00f3n de rankings en estructuras | 17 | "value": "Optimizaci\u00f3n de rankings en estructuras | ||
| 18 | jer\u00e1rquicas mediante el modelo gravitacional." | 18 | jer\u00e1rquicas mediante el modelo gravitacional." | ||
| 19 | }, | 19 | }, | ||
| 20 | { | 20 | { | ||
| 21 | "key": "Tipo", | 21 | "key": "Tipo", | ||
| 22 | "value": "Art\u00edculo en l\u00ednea" | 22 | "value": "Art\u00edculo en l\u00ednea" | ||
| 23 | }, | 23 | }, | ||
| 24 | { | 24 | { | ||
| 25 | "key": "URL", | 25 | "key": "URL", | ||
| 26 | "value": | 26 | "value": | ||
| 27 | s-dirigidos-aciclicos-con-implicaciones-en-analisis-de-redes-urbanas/" | 27 | s-dirigidos-aciclicos-con-implicaciones-en-analisis-de-redes-urbanas/" | ||
| 28 | } | 28 | } | ||
| 29 | ], | 29 | ], | ||
| 30 | "groups": [ | 30 | "groups": [ | ||
| 31 | { | 31 | { | ||
| 32 | "description": "", | 32 | "description": "", | ||
| 33 | "display_name": "Art\u00edculos en l\u00ednea", | 33 | "display_name": "Art\u00edculos en l\u00ednea", | ||
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| 35 | "image_display_url": "", | 35 | "image_display_url": "", | ||
| 36 | "name": "articulos-en-linea", | 36 | "name": "articulos-en-linea", | ||
| 37 | "title": "Art\u00edculos en l\u00ednea" | 37 | "title": "Art\u00edculos en l\u00ednea" | ||
| 38 | } | 38 | } | ||
| 39 | ], | 39 | ], | ||
| 40 | "id": "35070bae-ab0a-462a-a6af-c066521e1784", | 40 | "id": "35070bae-ab0a-462a-a6af-c066521e1784", | ||
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| 46 | "metadata_created": "2025-10-24T00:46:59.356760", | 46 | "metadata_created": "2025-10-24T00:46:59.356760", | ||
| n | 47 | "metadata_modified": "2025-10-24T00:46:59.356769", | n | 47 | "metadata_modified": "2025-10-24T00:47:00.156302", |
| 48 | "name": "b8731a9979a8", | 48 | "name": "b8731a9979a8", | ||
| 49 | "notes": "Este art\u00edculo presenta un enfoque innovador para | 49 | "notes": "Este art\u00edculo presenta un enfoque innovador para | ||
| 50 | mejorar la identificaci\u00f3n de nodos influyentes en redes dirigidas | 50 | mejorar la identificaci\u00f3n de nodos influyentes en redes dirigidas | ||
| 51 | ac\u00edclicas (DAGs), mediante la adaptaci\u00f3n del modelo | 51 | ac\u00edclicas (DAGs), mediante la adaptaci\u00f3n del modelo | ||
| 52 | gravitacional de centralidad. Se propone un algoritmo eficiente en | 52 | gravitacional de centralidad. Se propone un algoritmo eficiente en | ||
| 53 | tiempo casi lineal para su c\u00e1lculo y se eval\u00faa su capacidad | 53 | tiempo casi lineal para su c\u00e1lculo y se eval\u00faa su capacidad | ||
| 54 | para mejorar tanto la precisi\u00f3n como la resoluci\u00f3n de los | 54 | para mejorar tanto la precisi\u00f3n como la resoluci\u00f3n de los | ||
| 55 | rankings, especialmente en redes con estructuras jer\u00e1rquicas o | 55 | rankings, especialmente en redes con estructuras jer\u00e1rquicas o | ||
| 56 | temporales. El estudio, realizado en el Observatorio Metropolitano de | 56 | temporales. El estudio, realizado en el Observatorio Metropolitano de | ||
| 57 | CentroGeo en colaboraci\u00f3n internacional, abre nuevas | 57 | CentroGeo en colaboraci\u00f3n internacional, abre nuevas | ||
| 58 | posibilidades para aplicar modelos de propagaci\u00f3n e influencia en | 58 | posibilidades para aplicar modelos de propagaci\u00f3n e influencia en | ||
| 59 | estructuras ac\u00edclicas presentes en sistemas urbanos y | 59 | estructuras ac\u00edclicas presentes en sistemas urbanos y | ||
| 60 | metropolitanos.", | 60 | metropolitanos.", | ||
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| 72 | "state": "active", | 72 | "state": "active", | ||
| 73 | "title": "Observatorio Metropolitano CentroGeo", | 73 | "title": "Observatorio Metropolitano CentroGeo", | ||
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| 84 | "created": "2025-10-24T00:47:00.229428", | ||||
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| 86 | "description": "Este art\u00edculo presenta un enfoque innovador | ||||
| 87 | para mejorar la identificaci\u00f3n de nodos influyentes en redes | ||||
| 88 | dirigidas ac\u00edclicas (DAGs), mediante la adaptaci\u00f3n del | ||||
| 89 | modelo gravitacional de centralidad. Se propone un algoritmo eficiente | ||||
| 90 | en tiempo casi lineal para su c\u00e1lculo y se eval\u00faa su | ||||
| 91 | capacidad para mejorar tanto la precisi\u00f3n como la resoluci\u00f3n | ||||
| 92 | de los rankings, especialmente en redes con estructuras | ||||
| 93 | jer\u00e1rquicas o temporales. El estudio, realizado en el | ||||
| 94 | Observatorio Metropolitano de CentroGeo en colaboraci\u00f3n | ||||
| 95 | internacional, abre nuevas posibilidades para aplicar modelos de | ||||
| 96 | propagaci\u00f3n e influencia en estructuras ac\u00edclicas presentes | ||||
| 97 | en sistemas urbanos y metropolitanos.", | ||||
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| 105 | "name": "Mejorando el ranking de nodos en grafos dirigidos | ||||
| 106 | ac\u00edclicos, con implicaciones en an\u00e1lisis de redes urbanas", | ||||
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| 113 | -dirigidos-aciclicos-con-implicaciones-en-analisis-de-redes-urbanas/", | ||||
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| 115 | } | ||||
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| 81 | "state": "active", | 117 | "state": "active", | ||
| 82 | "tags": [ | 118 | "tags": [ | ||
| 83 | { | 119 | { | ||
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| 138 | }, | 174 | }, | ||
| 139 | { | 175 | { | ||
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| 158 | "vocabulary_id": null | 194 | "vocabulary_id": null | ||
| 159 | }, | 195 | }, | ||
| 160 | { | 196 | { | ||
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| 162 | "id": "af395ab3-7669-412c-9659-bd1e1bb92b4a", | 198 | "id": "af395ab3-7669-412c-9659-bd1e1bb92b4a", | ||
| 163 | "name": "estructuras-jerrquicas", | 199 | "name": "estructuras-jerrquicas", | ||
| 164 | "state": "active", | 200 | "state": "active", | ||
| 165 | "vocabulary_id": null | 201 | "vocabulary_id": null | ||
| 166 | }, | 202 | }, | ||
| 167 | { | 203 | { | ||
| 168 | "display_name": "eye-security", | 204 | "display_name": "eye-security", | ||
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| 174 | { | 210 | { | ||
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| 180 | }, | 216 | }, | ||
| 181 | { | 217 | { | ||
| 182 | "display_name": "grafos-dirigidos-acclicos", | 218 | "display_name": "grafos-dirigidos-acclicos", | ||
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| 187 | }, | 223 | }, | ||
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| 215 | }, | 251 | }, | ||
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| 217 | "display_name": "optimizacin-de-rankings", | 253 | "display_name": "optimizacin-de-rankings", | ||
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| 230 | { | 266 | { | ||
| 231 | "display_name": "propagacin-en-redes", | 267 | "display_name": "propagacin-en-redes", | ||
| 232 | "id": "94db8b0c-d0e9-4b97-b23a-81a659b3eaf6", | 268 | "id": "94db8b0c-d0e9-4b97-b23a-81a659b3eaf6", | ||
| 233 | "name": "propagacin-en-redes", | 269 | "name": "propagacin-en-redes", | ||
| 234 | "state": "active", | 270 | "state": "active", | ||
| 235 | "vocabulary_id": null | 271 | "vocabulary_id": null | ||
| 236 | }, | 272 | }, | ||
| 237 | { | 273 | { | ||
| 238 | "display_name": "ranking-de-nodos", | 274 | "display_name": "ranking-de-nodos", | ||
| 239 | "id": "e5a93ce6-051a-466b-a3aa-345eaea50665", | 275 | "id": "e5a93ce6-051a-466b-a3aa-345eaea50665", | ||
| 240 | "name": "ranking-de-nodos", | 276 | "name": "ranking-de-nodos", | ||
| 241 | "state": "active", | 277 | "state": "active", | ||
| 242 | "vocabulary_id": null | 278 | "vocabulary_id": null | ||
| 243 | }, | 279 | }, | ||
| 244 | { | 280 | { | ||
| 245 | "display_name": "reach", | 281 | "display_name": "reach", | ||
| 246 | "id": "9e01b965-43c4-4666-a551-d75d42d95135", | 282 | "id": "9e01b965-43c4-4666-a551-d75d42d95135", | ||
| 247 | "name": "reach", | 283 | "name": "reach", | ||
| 248 | "state": "active", | 284 | "state": "active", | ||
| 249 | "vocabulary_id": null | 285 | "vocabulary_id": null | ||
| 250 | }, | 286 | }, | ||
| 251 | { | 287 | { | ||
| 252 | "display_name": "redes-jerrquicas", | 288 | "display_name": "redes-jerrquicas", | ||
| 253 | "id": "6c0f6b9e-3196-4981-affd-4fa3e5e62f9a", | 289 | "id": "6c0f6b9e-3196-4981-affd-4fa3e5e62f9a", | ||
| 254 | "name": "redes-jerrquicas", | 290 | "name": "redes-jerrquicas", | ||
| 255 | "state": "active", | 291 | "state": "active", | ||
| 256 | "vocabulary_id": null | 292 | "vocabulary_id": null | ||
| 257 | }, | 293 | }, | ||
| 258 | { | 294 | { | ||
| 259 | "display_name": "redes-temporales", | 295 | "display_name": "redes-temporales", | ||
| 260 | "id": "2def2487-9416-45b6-a2c8-985bf7c16f44", | 296 | "id": "2def2487-9416-45b6-a2c8-985bf7c16f44", | ||
| 261 | "name": "redes-temporales", | 297 | "name": "redes-temporales", | ||
| 262 | "state": "active", | 298 | "state": "active", | ||
| 263 | "vocabulary_id": null | 299 | "vocabulary_id": null | ||
| 264 | }, | 300 | }, | ||
| 265 | { | 301 | { | ||
| 266 | "display_name": "redes-urbanas", | 302 | "display_name": "redes-urbanas", | ||
| 267 | "id": "6f68aafe-16c8-4664-ba39-1f9018a39274", | 303 | "id": "6f68aafe-16c8-4664-ba39-1f9018a39274", | ||
| 268 | "name": "redes-urbanas", | 304 | "name": "redes-urbanas", | ||
| 269 | "state": "active", | 305 | "state": "active", | ||
| 270 | "vocabulary_id": null | 306 | "vocabulary_id": null | ||
| 271 | }, | 307 | }, | ||
| 272 | { | 308 | { | ||
| 273 | "display_name": "simulaciones-sir", | 309 | "display_name": "simulaciones-sir", | ||
| 274 | "id": "5dc5ccd3-d746-4416-a150-de37c0b9b9d0", | 310 | "id": "5dc5ccd3-d746-4416-a150-de37c0b9b9d0", | ||
| 275 | "name": "simulaciones-sir", | 311 | "name": "simulaciones-sir", | ||
| 276 | "state": "active", | 312 | "state": "active", | ||
| 277 | "vocabulary_id": null | 313 | "vocabulary_id": null | ||
| 278 | }, | 314 | }, | ||
| 279 | { | 315 | { | ||
| 280 | "display_name": "sistemas-urbanos", | 316 | "display_name": "sistemas-urbanos", | ||
| 281 | "id": "236397fb-d807-4f56-ac90-51b620fd8ec2", | 317 | "id": "236397fb-d807-4f56-ac90-51b620fd8ec2", | ||
| 282 | "name": "sistemas-urbanos", | 318 | "name": "sistemas-urbanos", | ||
| 283 | "state": "active", | 319 | "state": "active", | ||
| 284 | "vocabulary_id": null | 320 | "vocabulary_id": null | ||
| 285 | }, | 321 | }, | ||
| 286 | { | 322 | { | ||
| 287 | "display_name": "social-network-analysis-and-mining", | 323 | "display_name": "social-network-analysis-and-mining", | ||
| 288 | "id": "a4ad3ab1-49c8-4e85-9885-cd79b2982452", | 324 | "id": "a4ad3ab1-49c8-4e85-9885-cd79b2982452", | ||
| 289 | "name": "social-network-analysis-and-mining", | 325 | "name": "social-network-analysis-and-mining", | ||
| 290 | "state": "active", | 326 | "state": "active", | ||
| 291 | "vocabulary_id": null | 327 | "vocabulary_id": null | ||
| 292 | }, | 328 | }, | ||
| 293 | { | 329 | { | ||
| 294 | "display_name": "teora-de-grafos", | 330 | "display_name": "teora-de-grafos", | ||
| 295 | "id": "06adb5d5-95e2-4f45-a90a-7fa52ea0f5c7", | 331 | "id": "06adb5d5-95e2-4f45-a90a-7fa52ea0f5c7", | ||
| 296 | "name": "teora-de-grafos", | 332 | "name": "teora-de-grafos", | ||
| 297 | "state": "active", | 333 | "state": "active", | ||
| 298 | "vocabulary_id": null | 334 | "vocabulary_id": null | ||
| 299 | }, | 335 | }, | ||
| 300 | { | 336 | { | ||
| 301 | "display_name": "university-of-twente", | 337 | "display_name": "university-of-twente", | ||
| 302 | "id": "19b2f374-068f-4d00-bf58-9fb633f46a56", | 338 | "id": "19b2f374-068f-4d00-bf58-9fb633f46a56", | ||
| 303 | "name": "university-of-twente", | 339 | "name": "university-of-twente", | ||
| 304 | "state": "active", | 340 | "state": "active", | ||
| 305 | "vocabulary_id": null | 341 | "vocabulary_id": null | ||
| 306 | } | 342 | } | ||
| 307 | ], | 343 | ], | ||
| 308 | "title": "Mejorando el ranking de nodos en grafos dirigidos | 344 | "title": "Mejorando el ranking de nodos en grafos dirigidos | ||
| 309 | ac\u00edclicos, con implicaciones en an\u00e1lisis de redes urbanas", | 345 | ac\u00edclicos, con implicaciones en an\u00e1lisis de redes urbanas", | ||
| 310 | "type": "dataset", | 346 | "type": "dataset", | ||
| 311 | "url": | 347 | "url": | ||
| 312 | -dirigidos-aciclicos-con-implicaciones-en-analisis-de-redes-urbanas/", | 348 | -dirigidos-aciclicos-con-implicaciones-en-analisis-de-redes-urbanas/", | ||
| 313 | "version": null | 349 | "version": null | ||
| 314 | } | 350 | } |
