| Title |
Quantifying Social Influence in an Online Cultural Market
|
|---|---|
| Published in |
PLOS ONE, May 2012
|
| DOI | 10.1371/journal.pone.0033785 |
| Pubmed ID | |
| Authors |
Coco Krumme, Manuel Cebrian, Galen Pickard, Sandy Pentland |
| Abstract |
We revisit experimental data from an online cultural market in which 14,000 users interact to download songs, and develop a simple model that can explain seemingly complex outcomes. Our results suggest that individual behavior is characterized by a two-step process--the decision to sample and the decision to download a song. Contrary to conventional wisdom, social influence is material to the first step only. The model also identifies the role of placement in mediating social signals, and suggests that in this market with anonymous feedback cues, social influence serves an informational rather than normative role. |
X Demographics
The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 14% |
| United States | 3 | 14% |
| Spain | 3 | 14% |
| India | 1 | 5% |
| Canada | 1 | 5% |
| Hungary | 1 | 5% |
| Switzerland | 1 | 5% |
| Unknown | 8 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 71% |
| Scientists | 4 | 19% |
| Practitioners (doctors, other healthcare professionals) | 2 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Switzerland | 2 | 2% |
| Spain | 2 | 2% |
| Netherlands | 1 | 1% |
| Australia | 1 | 1% |
| Peru | 1 | 1% |
| Colombia | 1 | 1% |
| China | 1 | 1% |
| United States | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 74 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 33% |
| Researcher | 11 | 13% |
| Student > Master | 10 | 12% |
| Student > Doctoral Student | 8 | 9% |
| Student > Bachelor | 4 | 5% |
| Other | 14 | 16% |
| Unknown | 11 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 19 | 22% |
| Computer Science | 15 | 17% |
| Business, Management and Accounting | 14 | 16% |
| Psychology | 11 | 13% |
| Arts and Humanities | 5 | 6% |
| Other | 10 | 12% |
| Unknown | 12 | 14% |