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Bee-Path First Statistics of the results in Com et mous?” experiment
15
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Page 1: Bee path first-statistics

Bee-Path

First Statistics of the results in “Com et mous?” experiment

Page 2: Bee path first-statistics

AGGREGATEWe study the statistics of the traces independently on the users

Page 3: Bee path first-statistics

Flight length

Mean= Standard Deviation=

Page 4: Bee path first-statistics

Stops duration

Mean= Standard Deviation=

Page 5: Bee path first-statistics

POPULATIONWe study the statistics of the traces according to the users.

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Total length

Mean= Standard Deviation=m04.1505 m03.1176

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Flights number vs. Stops number

Standard Deviation

Mean

Standard Deviation

Mean

04.23

29.17

40.14

02.11

Page 8: Bee path first-statistics

Flights number vs. Stops number

0170.19095.0

0353.05854.0

B

A BAxxf

Page 9: Bee path first-statistics

Flights total time vs. Stops total time

Standard Deviation

Mean

Standard Deviation

Mean

s08.1210

s37.1006

s90.1810

s94.1880

Page 10: Bee path first-statistics

Flights total time vs. Stops total time

4.350982.468

2206.00963.1

B

A BAxxf

Page 11: Bee path first-statistics

Velocity average

Mean= Standard Deviation=sm /2055.1 sm /2078.0

Page 12: Bee path first-statistics

Ballistic factor

Mean= Standard Deviation=7991.0 5366.0

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CONCLUSION

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Summary

• Aggregate of flights length and stops duration seems to follow anexponential law.

1

• Flights number more heterogeneous than stops number

• Strong linear correlation in flights-stops number, almost 2 to 1.

• Stops time more heterogeneous than Flights time.

• No linear correlation between flights-stops time.

2

• Very narrow distribution in average velocity. (Homogeneous)

• Almost uniform distribution in ballistic factor. (Heterogeneous)

3

Page 15: Bee path first-statistics

Future work

• Test exponential fit and power-law fit in current distributions.

• Investigate the linear relation between flight number and stops number.

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• Look at the structure of the flights and stops sequence. Autocorrelation?

2

• Duration of the stops with respect to previous flight duration.

3

• Compare social variables (such as age, gender, group) with respect tomobility variables (such as tortuosity, velocity, number of flights, etc.)

4