Collecting network information on political elites using conventional methods such as surveys and text records is challenging in authoritarian and/or conflict-ridden states. I introduce a data collection method for elite networks using scraping algorithms to capture public co-appearances at political and social events.
Validity checks using existing data show the method effectively replicates interaction-based networks but not networks based on behavioral similarities; in both cases, measurement error remains a concern.
Applying the method to Nigeria illustrates that patronage---measured in terms of public connectivity---does not drive national-oil-company appointments. Given that theories of elite behavior aim to understand individual-level interactions, the applicability of data using this technique is well-suited to situations where intrusive data collection is costly or prohibitive. Please see the ReadMe.txt document for a description of each file included in the replication set.
A log file showing the full replication procedures from running all codes is provided, titled "replication.log"