| dc.contributor.author | Fisher, David | |
| dc.date.accessioned | 2016-02-23T11:43:14Z | |
| dc.date.issued | 2016-02-19 | |
| dc.description.abstract | This provides a full walk-through, with R code and a sample data set, to apply a stochastic actor-orientated model (SAOM). Based on the guidance in the thesis chapter (Chapter 7 of David Newton Fisher's thesis, submitted February 2016) and the guide supplied here, users should be able to implement, with full understanding, a SAOM to investigate the change in social interactions over time of a population of wild field crickets (Gryllus campestris). I also incorporate a behaviour co-variable into the analysis. I have also supplied a visual representation of the network (Fig S1), and figures showing both unsatisfactory (Figs S2-4) and satisfactory (Figs S5-7) goodness-of-fit plots. | en_GB |
| dc.description.sponsorship | NERC | en_GB |
| dc.identifier.uri | http://hdl.handle.net/10871/20067 | |
| dc.language.iso | en | en_GB |
| dc.publisher | University of Exeter | en_GB |
| dc.rights.embargoreason | Only make available once thesis is submitted | en_GB |
| dc.rights | Creative commons license: CC BY-NC-SA | en_GB |
| dc.subject | social network analysis | en_GB |
| dc.subject | biology | en_GB |
| dc.subject | r code | en_GB |
| dc.subject | stochastic actor-orientated model | en_GB |
| dc.subject | behavioural ecology | en_GB |
| dc.title | Online supporting information for DNF's thesis: applying a SAOM | en_GB |
| dc.type | Case study | en_GB |
| dc.type | Dataset | en_GB |
| dc.type | Working Paper | en_GB |
| dc.description | Walk-through, R code, datasets and figures to allow users to implement a stochastic actor-orientated model for a population of field crickets in the software R | en_GB |
