| Title |
Build your own social network laboratory with Social Lab: A tool for research in social media
|
|---|---|
| Published in |
Behavior Research Methods, September 2013
|
| DOI | 10.3758/s13428-013-0385-3 |
| Pubmed ID | |
| Authors |
Pablo Garaizar, Ulf-Dietrich Reips |
| Abstract |
Social networking has surpassed e-mail and instant messaging as the dominant form of online communication (Meeker, Devitt, & Wu, 2010). Currently, all large social networks are proprietary, making it difficult to impossible for researchers to make changes to such networks for the purpose of study design and access to user-generated data from the networks. To address this issue, the authors have developed and present Social Lab, an Internet-based free and open-source social network software system available from http://www.sociallab.es . Having full availability of navigation and communication data in Social Lab allows researchers to investigate behavior in social media on an individual and group level. Automated artificial users ("bots") are available to the researcher to simulate and stimulate social networking situations. These bots respond dynamically to situations as they unfold. The bots can easily be configured with scripts and can be used to experimentally manipulate social networking situations in Social Lab. Examples for setting up, configuring, and using Social Lab as a tool for research in social media are provided. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Iran, Islamic Republic of | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 2% |
| Switzerland | 2 | 2% |
| Germany | 1 | 1% |
| Canada | 1 | 1% |
| United Kingdom | 1 | 1% |
| Unknown | 78 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 27% |
| Student > Master | 12 | 14% |
| Researcher | 8 | 9% |
| Other | 7 | 8% |
| Student > Bachelor | 6 | 7% |
| Other | 14 | 16% |
| Unknown | 15 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 22 | 26% |
| Social Sciences | 15 | 18% |
| Computer Science | 10 | 12% |
| Business, Management and Accounting | 5 | 6% |
| Medicine and Dentistry | 4 | 5% |
| Other | 10 | 12% |
| Unknown | 19 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 June 2017.
All research outputs
#16,047,334
of 25,373,627 outputs
Outputs from Behavior Research Methods
#1,469
of 2,525 outputs
Outputs of similar age
#120,206
of 209,242 outputs
Outputs of similar age from Behavior Research Methods
#6
of 21 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,525 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.