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This page documents the 46 features (extended) and the 23 core features used for diversity and paper, and the settings that are not used in the feature vector, with the reason for each.

• Why 23 are core: They define the scenario (scientific change if they vary), have low redundancy within core, are interpretable and tied to network hypotheses (mobility, contact, traffic, resources), and are corpus-wide (no over-representing a single family). Full justification: features_core_vs_extended.md.
• Why others are discarded or extended: Settings not used (IDs, paths, constants, redundant, implementation detail): features_decision.md. Extended (e.g. density, pause_ratio, mm_ShortestPath, event2_*, pattern_uniform, WDM detail) are for exploration/dashboard only; reasons in features_core_vs_extended.md §3.
• Single results reference: RESULTADOS_ACTUALES.md.

The feature vector is extracted by run_analysis.py (phase features). Reports: --phase features_report → analysis/reports/features_report.txt and features_report.md.

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These form the per-scenario vector used for Pearson/Spearman correlation, cosine distance, clustering, and figures. Space is encoded as world_area and aspect_ratio (not Wx, Wy separately).

Feature	Description	Origin (setting)
world_area	World area Wx×Wy (m²)	MovementModel.worldSize
aspect_ratio	Aspect ratio min(Wx,Wy)/max(Wx,Wy) ∈ (0,1]	MovementModel.worldSize
N	Number of hosts	Scenario.nrofHostGroups, Group*.nrofHosts
density	Density proxy (hosts/km²); excluded from core (redundant with N, world_area)	N, world_area (derived)
speed_mean	Mean speed (m/s)	Group*.speed
pause_ratio	Pause/(move+pause) ratio	Group*.waitTime (derived)
wait_mean	Mean wait time (s)	Group*.waitTime
mm_WDM	Uses WorkingDayMovement (0/1)	Group*.movementModel
mm_RWP	Uses RandomWaypoint (0/1)	Group*.movementModel
mm_MapRoute	Uses MapRouteMovement (0/1)	Group*.movementModel
mm_Cluster	Uses ClusterMovement (0/1)	Group*.movementModel
mm_Bus	Uses BusMovement (0/1)	Group*.movementModel
mm_ShortestPath	Uses ShortestPathMapBasedMovement (0/1)	Group*.movementModel
mm_External	Uses External/ExternalPathMovement (0/1)	Group*.movementModel
mm_Linear	Uses LinearMovement (0/1)	Group*.movementModel
transmitRange	Transmission range (m)	bt0.transmitRange / interface.transmitRange
contact_rate_proxy	Contact rate proxy	density, transmitRange, speed (derived)
event_interval_mean	Mean message interval (s)	Events1.interval
event_size_mean	Mean message size (bytes)	Events1.size
msgTtl	Message TTL (s)	Group*.msgTtl
pattern_uniform	Uniform traffic pattern (0/1)	Events* (no time/tohosts)
pattern_burst	Burst/time-window traffic (0/1)	Events*.time
pattern_hub_target	Hub-targeted traffic (0/1)	Events*.tohosts
nrof_event_generators	Number of event generators	Events.nrof
bufferSize	Buffer size (bytes)	Group*.bufferSize
transmitSpeed	Transmission speed (bytes/s)	bt0.transmitSpeed
workDayLength	Work day length (s); NaN if not WDM	Group*.workDayLength
timeDiffSTD	Time diff std (s); NaN if not WDM	Group*.timeDiffSTD
probGoShoppingAfterWork	Prob. go shopping; NaN if not WDM	Group*.probGoShoppingAfterWork
nrOfMeetingSpots	Number of meeting spots; NaN if not WDM	Group*.nrOfMeetingSpots
nrOfOffices	Number of offices; NaN if not WDM	Group*.nrOfOffices
officeSize	Office size (persons); NaN if not WDM	Group*.officeSize
nrOfShops	Number of shops; NaN if not WDM	Group*.nrOfShops
ownCarProb	Car ownership probability (0–1); vehicular/WDM	Group*.ownCarProb
shopSize	Shop size (persons); NaN if not WDM	Group*.shopSize
officeWaitTime_mean	Mean office wait time (s); NaN if not WDM	Group*.officeMinWaitTime, officeMaxWaitTime
shoppingWaitTime_mean	Mean shopping wait time (s); NaN if not WDM	Group*.shoppingMinWaitTime, shoppingMaxWaitTime
eveningGroupSize_mean	Evening activity group size mean; NaN if not WDM	Group*.minGroupSize, maxGroupSize
eveningWaitTime_mean	Evening activity wait time mean (s); NaN if not WDM	Group*.minWaitTime, maxWaitTime
afterShoppingStopTime_mean	Mean stop time after shopping (s); NaN if not WDM	Group*.minAfterShoppingStopTime, maxAfterShoppingStopTime
clusterRange_mean	Mean cluster radius (m); NaN if not ClusterMovement	Group*.clusterRange
event2_interval_mean	Mean interval 2nd event stream (s); NaN if Events.nrof<2 or filePath	Events2.interval
event2_size_mean	Mean size 2nd event stream (bytes); NaN if Events.nrof<2 or filePath	Events2.size
Scenario.endTime	Simulation duration (s)	Scenario.endTime
nrofHostGroups	Number of host groups	Scenario.nrofHostGroups
has_active_times	Groups with activeTimes defined (0/1)	Group*.activeTimes

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These keys appear in one or more .settings files in the corpus but are not used to build the feature vector. Reason is given for each.

Setting	Reason
Events1.class	Generator type; same across corpus
Events1.hosts	Host range; redundant with N
Events1.prefix	Message identifier
Events2.* (class, filePath, hosts, nrofPreload, prefix)	Not in current design; possible future extension
Group.LinearMovement.*	Not in current design; possible future extension
Group.busControlSystemNr	Internal reference to bus system
Group.eveningActivityControlSystemNr	Internal reference
Group.homeLocationsFile	File path; not comparable across maps
Group.meetingSpotsFile	Same
Group.officeLocationsFile	Same
Group.routeFile	File path
Group.router	Same in entire corpus (EpidemicRouter)
Group.nrofInterfaces	Almost always 1; low variability
Group.officeWaitTimeParetoCoeff	Fine-grained WDM detail (we use officeWaitTime_mean)
Group.shoppingWaitTimeParetoCoeff	Same (we use shoppingWaitTime_mean)
Group.minAfterShoppingStopTime, Group.maxAfterShoppingStopTime	Not included; fine-grained post-shopping detail
Group.shoppingControlSystemNr	Internal reference
Group.okMaps, Group.routeType	Not in current design
Group1.* (routeFile, routeType, groupID, busControlSystemNr, clusterCenter, clusterRange, LinearMovement.*, nrofInterfaces, router)	File paths, internal refs, or identifiers; or not in design
Group2 … Group12 (clusterCenter, clusterRange, groupID, routeFile, etc.)	Same as above for other groups
MapBasedMovement.mapFile1, MapBasedMovement.nrofMapFiles	File path/count; not comparable numerically
MovementModel.rngSeed	Randomness; does not characterise scenario stably
Report.*	Output configuration, not scenario input
Scenario.name	Scenario identifier, not a numeric feature
Scenario.simulateConnections, Scenario.updateInterval	Fixed simulation parameters
bt0.type	Interface type; same across corpus

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• Methodology — How features and correlation are defined
• Analysis pipeline reference — Phases and outputs
• Results overview — Current metrics