CRAWDAD upb/mobility2011

Citation Author(s):
Radu I.
Ciobanu
Ciprian
Dobre
University Politehnica of Bucharest
Submitted by:
CRAWDAD Team
Last updated:
Mon, 06/18/2012 - 08:00
DOI:
10.15783/C7730V
Data Format:
License:
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Abstract 

This is the data from an Android Bluetooth tracing experiment performed for a period of 35 days in an academic environment (University Politehnica of Bucharest) between November 18 and December 22 2011. 

date/time of measurement start: 2011-11-18

date/time of measurement end: 2011-12-22

collection environment: The trace was collected in an academic environment, at University Politehnica of Bucharest. The participants were Bachelor and Master students and research assistants. The data was collected only inside the grounds of the faculty between 8 AM and 8 PM during week-days. There were a total of 22 participants, chosen to be as varied as possible in terms of year, in order to obtain a better approximation of mobility in a real academic environment. Thus, there were twelve Bachelor students (one in the first year, nine in the third and two in the fourth), seven Master students (four in the first year and three in the second) and three research assistants. The participating members were asked to start the application whenever they arrived at the faculty and to turn it off when they left, because we were only interested in the mobility patterns and social interaction in the academic environment.

network configuration: Data was collected using an Android application (http://code.google.com/p/social-tracer/) that registers contacts between mobile devices with Bluetooth. The participants were organized into an opportunistic network, since the tracing was performed using Android phones.

data collection methodology: Data was collected using an Android application (http://code.google.com/p/social-tracer/) that registers contacts between mobile devices with Bluetooth. The application separates between internal encounters (i.e. encounters with other participants in the experiment) and external encounters (i.e. with other devices that have their Bluetooth on). The tracing was performed during weekdays between 8 AM and 8 PM.

sanitization: Data was anonymized by assigning a unique ID for each user from 1 to 22. No MAC addresses or IMEI codes were collected and/or used.

limitation: Since Bluetooth is not a very reliable protocol, it may be possible that some encounters are missed. Also, the polling interval for each device could be controlled by the user (between 5 and 30 minutes), so the timers on two devices would not be necessarily synchronized. For example, device A might see device B at one point, but device B might miss the encounter altogether (or may see just a part of it).

note: Some of the participants have not attended courses or have not uploaded their data, so they should probably be eliminated when using the trace.

This is the data from an Android Bluetooth tracing experiment performed for a period of 35 days in an academic environment (University Politehnica of Bucharest) between November 18 and December 22 2011.

Traceset

upb/mobility2011/bluetooth

Bluetooth encounter trace collected from Android phones in an academic environment

  • files: interactions.dat, social.dat
  • description: This is the data from an Android Bluetooth tracing experiment performed for a period of 35 days in an academic environment (University Politehnica of Bucharest) between November 18 and December 22 2011.
  • measurement purpose: Educational Use, Social Network Analysis, Human Behavior Modeling, Opportunistic Connectivity
  • methodology: The trace was collected in an academic environment, at University Politehnica of Bucharest. The participants were Bachelor and Master students and research assistants. The data was collected only inside the grounds of the faculty between 8 AM and 8 PM during week-days. Data was collected using an Android application (http://code.google.com/p/social-tracer/) that registers contacts between mobile devices with Bluetooth. The application separates between internal encounters (i.e. encounters with other participants in the experiment) and external encounters (i.e. with other devices that have their Bluetooth on). The tracing was performed during weekdays between 8 AM and 8 PM. 

upb/mobility2011/bluetooth Traces

  • android:
    • configuration: Data was collected using an Android application (http://code.google.com/p/social-tracer/) that registers contacts between mobile devices with Bluetooth.

      The participating members were asked to start the application whenever they arrived at the faculty and to turn it off when they left, because we were only interested in the mobility patterns and social interaction in the academic environment.

    • format: There are two files in this trace. The first one (interactions.dat) contains all the interactions between devices participating in the experiment. Each line contains the following entries:

 

Observer ID --- Observed ID --- Encounter start --- Encounter end --- Number of

encounters between these two devices --- Duration until the next encounter

between these two devices

The IDs start from 1 and go to 22 for internal devices, and higher than 22 for

the external ones. The encounter start and end times are in seconds since

January 1 1970, while the duration until the next encounter between the same two

devices is in milliseconds.

The file is sorted first by observer ID, and encounters with the same observer

are sorted by encounter start time. It contains both internal encounters

(observed ID is lower than or equal to 22) and external encounters (with the ID

higher than 22).

The second file (social.dat) contains the social network between the

participating nodes. It is a comma-separated matrix with each line corresponding

to a device (line 1 is device with ID 1, line 2 is device with ID 2, etc.). Each

column represents a node in the experiment (first column is node 1, etc.), and

it can be either 1 if the nodes have a social relationship (i.e. if the device

owners are friends on Facebook) and 0 otherwise.

Instructions: 

The files in this directory are a CRAWDAD dataset hosted by IEEE DataPort. 

About CRAWDAD: the Community Resource for Archiving Wireless Data At Dartmouth is a data resource for the research community interested in wireless networks and mobile computing. 

CRAWDAD was founded at Dartmouth College in 2004, led by Tristan Henderson, David Kotz, and Chris McDonald. CRAWDAD datasets are hosted by IEEE DataPort as of November 2022. 

Note: Please use the Data in an ethical and responsible way with the aim of doing no harm to any person or entity for the benefit of society at large. Please respect the privacy of any human subjects whose wireless-network activity is captured by the Data and comply with all applicable laws, including without limitation such applicable laws pertaining to the protection of personal information, security of data, and data breaches. Please do not apply, adapt or develop algorithms for the extraction of the true identity of users and other information of a personal nature, which might constitute personally identifiable information or protected health information under any such applicable laws. Do not publish or otherwise disclose to any other person or entity any information that constitutes personally identifiable information or protected health information under any such applicable laws derived from the Data through manual or automated techniques. 

Please acknowledge the source of the Data in any publications or presentations reporting use of this Data. 

Citation:

Radu I. Ciobanu, Ciprian Dobre, upb/mobility2011, https://doi.org/10.15783/C7730V , Date: 20120618

Dataset Files

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Documentation

AttachmentSize
File upb-mobility2011-readme.txt1.58 KB

These datasets are part of Community Resource for Archiving Wireless Data (CRAWDAD). CRAWDAD began in 2004 at Dartmouth College as a place to share wireless network data with the research community. Its purpose was to enable access to data from real networks and real mobile users at a time when collecting such data was challenging and expensive. The archive has continued to grow since its inception, and starting in summer 2022 is being housed on IEEE DataPort.

Questions about CRAWDAD? See our CRAWDAD FAQ. Interested in submitting your dataset to the CRAWDAD collection? Get started, by submitting an Open Access Dataset.