Title |
Measuring Large-Scale Social Networks with High Resolution
|
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Published in |
PLOS ONE, April 2014
|
DOI | 10.1371/journal.pone.0095978 |
Pubmed ID | |
Authors |
Arkadiusz Stopczynski, Vedran Sekara, Piotr Sapiezynski, Andrea Cuttone, Mette My Madsen, Jakob Eg Larsen, Sune Lehmann |
Abstract |
This paper describes the deployment of a large-scale study designed to measure human interactions across a variety of communication channels, with high temporal resolution and spanning multiple years-the Copenhagen Networks Study. Specifically, we collect data on face-to-face interactions, telecommunication, social networks, location, and background information (personality, demographics, health, politics) for a densely connected population of 1000 individuals, using state-of-the-art smartphones as social sensors. Here we provide an overview of the related work and describe the motivation and research agenda driving the study. Additionally, the paper details the data-types measured, and the technical infrastructure in terms of both backend and phone software, as well as an outline of the deployment procedures. We document the participant privacy procedures and their underlying principles. The paper is concluded with early results from data analysis, illustrating the importance of multi-channel high-resolution approach to data collection. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 8 | 13% |
United States | 6 | 10% |
Denmark | 4 | 6% |
France | 4 | 6% |
Finland | 3 | 5% |
Spain | 3 | 5% |
Italy | 2 | 3% |
Korea, Republic of | 2 | 3% |
Canada | 2 | 3% |
Other | 8 | 13% |
Unknown | 21 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 36 | 57% |
Scientists | 27 | 43% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 2% |
Denmark | 4 | 1% |
Switzerland | 3 | <1% |
Germany | 2 | <1% |
United Kingdom | 2 | <1% |
France | 1 | <1% |
Finland | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
Brazil | 1 | <1% |
Other | 4 | 1% |
Unknown | 315 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 91 | 27% |
Student > Master | 61 | 18% |
Researcher | 46 | 14% |
Student > Doctoral Student | 20 | 6% |
Student > Bachelor | 19 | 6% |
Other | 60 | 18% |
Unknown | 43 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 89 | 26% |
Social Sciences | 34 | 10% |
Physics and Astronomy | 34 | 10% |
Engineering | 29 | 9% |
Psychology | 19 | 6% |
Other | 65 | 19% |
Unknown | 70 | 21% |