The upb/hyccups dataset (v. 2016-10-17)
Trace of wireless contacts, social connections, and user interests, performed in an academic environment for 63 days, with 72 participants
Contributed by Radu I. Ciobanu, Ciprian Dobre.
Wireless contacts trace collected at the University Politehnica of Bucharest in the spring of 2012, using an application entitled HYCCUPS Tracer (http://hyccups.hpc.pub.ro), with the purpose of collecting contextual data from Android smartphones. It was run in the background and collected availability and mobile interaction information such as usage statistics, user activity, battery statistics, or sensor data, but it also gathered information about a device's encounters with other nodes or with wireless access points. Encounter collection was performed using AllJoyn. The data was collected by constructing and deleting wireless sessions using the AllJoyn framework based on WiFi. Tracing was executed asynchronously. The duration of the tracing experiment was 63 days, between March and May 2012, and had 72 participants, out of which only 42 had at least one contact. By analyzing the participants' Facebook profiles, the social connections matrix was extracted, as well as the users' interests. The trace (and others from the CRAWDAD collection) is parsed within the MobEmu simulator (used in all UPB's papers), publicly available at https://github.com/raduciobanu/mobemu.
details of the upb/hyccups dataset (v. 2016-10-17)
- last modified
-
2016-10-17
- nickname
-
hyccups
- institution
-
University Politehnica of Bucharest
- reason for most recent change
-
the initial version
- release date
-
2016-10-17
- date/time of measurement start
-
Fri Mar 02 17:23:56 EET 2012
- date/time of measurement end
-
Fri May 04 14:08:18 EEST 2012
- website
-
www.crawdad.org/upb/hyccups
- network type
-
802.11 ad-hoc
- network type
-
802.11 infrastructure
- network type
-
DTN (Delay or Disruption Tolerant Network)
- network type
-
social network
- collection environment
-
The trace was collected at the University Politehnica of Bucharest, with the 72 participants being students from the facility, as well as teachers and assistants.
- network configuration
-
The network formed by the devices was an opportunistic networks where some nodes are also socially connected, and have common interests.
- data collection methodology
-
Collected using an Android application entitled HYCCUPS Tracer http://hyccups.hpc.pub.ro, with the purpose of collecting contextual data from Android smartphones. It was ran in the background and collected availability and mobile interaction information such as usage statistics, user activity, battery statistics, or sensor data, but it also gathered information about a device's encounters with other nodes or with wireless access points. Encounter collection was performed using AllJoyn. The data was collected by constructing and deleting wireless sessions using the AllJoyn framework based on WiFi. Tracing was executed asynchronously. By analyzing the participants' Facebook profiles, the social connections matrix was extracted, as well as the users' interests.
- sanitization
-
The data was anonymized by assigning a random ID to each user in the network, starting from 1 up to 73. The same IDs were used for tracing the social connections and user interests. Interests were also anonymized by replacing them with integer IDs from 1 to 5. No private data is part of the trace. Some trace participants did not have a Facebook account, so their social and interest information is not present.
- disruptions to data collection
-
Some participants did not have Facebook accounts, so their social network and interest information is missing. Some of them did not register contacts, because they did not have their WiFi on or did not attend courses at the facility.
- limitation
-
AllJoyn WiFI contacts can only be collected when the two users are connected to the same wireless access point at the same time, since the connection is created through the AP. For this reason, contacts in this trace have been collected only when an experiment participant had the WiFi on and was connected to an AP.
- note
-
For simulations of the trace, we used the MobEmu opportunistic network simulator https://github.com/raduciobanu/mobemu, which can replay the trace and apply a desired routing or dissemination algorithm.
- url
-
/download/upb/hyccups
size="224KB" type="directory"
This dataset contains the following traceset:
2012
Trace of wireless contacts, social connections, and user interests, performed in an academic environment for 63 days, with 72 participants
quick access to download the traceset
- download the full_output.txt (from the upb/hyccups/2012/contacts trace) file
- from a CRAWDAD mirror: US
UK
size="212KB" type="txt" md5="792896543f2a1754dc2e258c7e5fdab5"
- download the social_network.txt (from the upb/hyccups/2012/social trace) file
- from a CRAWDAD mirror: US
UK
size="4.0KB" type="txt" md5="d9dbfd92e10632a895c6fb0986b0308c"
- download the users_and_interests.txt (from the upb/hyccups/2012/interests trace) file
- from a CRAWDAD mirror: US
UK
size="4.0KB" type="txt" md5="918a639cda2be05cf8da0ae4e59b2a25"
2 contributors 
how to cite this dataset
When writing a paper that uses CRAWDAD datasets, we would appreciate it if you could cite both the authors of the dataset and CRAWDAD itself, and identify the exact dataset using the appropriate version number. For this dataset, this citation would look like:
Radu I. Ciobanu, Ciprian Dobre, CRAWDAD dataset upb/hyccups (v. 2016‑10‑17), downloaded from https://crawdad.org/upb/hyccups/20161017, https://doi.org/10.15783/C7TG7K, Oct 2016.
We also provide bibliographic information in common citation formats below:
@misc{upb-hyccups-20161017,
author = {Radu I. Ciobanu and Ciprian Dobre},
title = {{CRAWDAD} dataset upb/hyccups (v. 2016-10-17)},
howpublished = {Downloaded from \url{https://crawdad.org/upb/hyccups/20161017}},
doi = {10.15783/C7TG7K},
month = oct,
year = 2016
}
Copy to clipboard
Download
TY - DATA
TI - CRAWDAD dataset upb/hyccups (v. 2016-10-17)
UR - https://crawdad.org/upb/hyccups/20161017
PY - 2016/10/17/
AU - Radu I. Ciobanu
AU - Ciprian Dobre
DO - 10.15783/C7TG7K
ER -
Copy to clipboard
Download
If you do not use the provided citation formats, please include a reference with the same information, as described in the CRAWDAD FAQ.
|