Experiment 1

The code used to analyze and visualize the major figures and results can be found in the “exp_1_main_analyses.R” file. The data used for this file is “exp_1_combined_individual_data.csv”. Each column in this file includes data for a single individual from a single replicate.

Below are definitions of variables that may not be self-explanatory: 

ID: Unique ID given to a specific male

male_mounts: Number of mounts directed at other males

female_mounts: Number of mounts directed at females 

mounts_evaded: Number of mounts performed where females successfully avoided

attempt_avoid: Number of mounts performed where females attempted to avoid

mounts_aborted: Number of female mounts that the male aborted

mounts_choice: Number of female mounts where males had the opportunity to abort

abort_rate: Proportion of mounts aborted where males had the choice to abort

avoid_success_rate: Number of mounts females successfully avoided divided by number of mounts females attempted to avoid

prop_male: Proportion of mounts directed at other males instead of females

oppo_sex_strength: Opposite sex social network association strength (obtained from social network analyses)

All the other exp_1 files are for the opposite-sex network analysis. The raw data is in the form of a list of all individuals participating in every aggregation identified during hourly scans in a file called “exp_1_raw_aggreations.csv”. The individuals in each aggregation are listed in the “Members” column where each letter ID represents an individual bed bug. We converted number IDs to letter IDs because csv files do not handle the . and : symbols well. The R script named “exp_1_network_analysis.R” converts this list of aggregations into association matrices which are all also uploaded here. We then removed all same-sex association values from these association matrices so that they could be converted into opposite-sex networks (social association networks that only depict opposite sex associations). These matrix files have a blank cell in the first row/column because that’s the default structure of association matrices.

The “exp_1_oppo_sex_network_analysis.R” file generates opposite sex social networks while the “exp_1_permutation_test.R” file contains code used to run the node-based permutation test for this experiment.

In general, it may be necessary to add “exp_1” to the names of csv files to get the R scripts to run properly as file names were modified after analysis, prior to uploading for ease of navigation on DRYAD. 

Experiments 2 and 3

Follow the same instructions as for Experiment 1 except replace exp_1 with exp_2/3. Some file names are slightly different (for example, the R scripts with the majority of the relevant analyses are named “exp_2_all_male_analysis.R” and “exp_3_all_fem_analysis.R”). Lastly, like exp_1 again, file names may have to be changed slightly in the read.csv step of the R script, usually by adding “exp_x” in front of the file name to get things to run. 

exp_2_male_summary_data.csv variable definitions (data file for main analyses in Experiment 2): 

male_mounts: Number of mounts directed at other males

female_mounts: Number of mounts directed at females

attempt_avoid: Number of mounts performed where females attempted to avoid

success_avoid: Number of mounts performed where females successfully avoided

aborts: Number of mounts directed at females aborted by males

possible_aborts: Number of mounts directed at females where males had the choice to abort

exp_3_female_summary_data.csv variable definitions (data file for main analyses in Experiment 3): 

inseminations: Number of times a focal female was inseminated

mounts: Number of times a focal female was mounted

attempt_avoid: Number of mounts a female attempted to avoid

success_avoid: Number of mounts a female successfully avoided

prop_avoid: Proportion of total mounts a female successfully avoided

avoid_success: Proportion of mounts females attempted to avoid where she successfully avoided

oppo_sex_strength: Opposite sex social network association strength (obtained from social network analyses)

Missing data code: NA