Worked with data from ICEWS (World-Wide Integrated Crisis Early Warning System).
Full data: south-china-sea.csv
Visualization of all 14000 entries: https://danielrubinstein.github.io/South-China-Sea-Visualization/
##headers: ###src_ccode: source country COW code (China, HK, Macao together) ###src_name: source country name (China, HK, Macao seperate) ###tgt_ccode: target country COW code (China, HK, Macao together) ###tgt_name： target country name (China, HK, Macao seperate) ###date： year-month ###verbal： 1=verbal, 0=material ###cooperation： 1=cooperation, 0=conflict ###count： number of events in directed-dyad-month-quad tuple ###evt_ccode： COW code for country in which event occured
Description of ICEWS: "International Crisis Early Warning System, the ICEWS project, which the U.S. government established to analyze political instability around the world and provide relevant policy advice. Funded by the Defense Advanced Research Projects Agency and the Office of Naval Research, ICEWS created near-real-time global event data covering over 175 countries and news sources from roughly 300 different news outlets (Boschee, Lautenschlager, O’Brien, Shellman, Starz and Ward 2015).3 To code events, ICEWS utilizes the Penn State Event Data Project’s TABARI (Text Analysis By Augmented Replacement Instruction) software and a commercially developed java variant (JABARI), which parse and stem corpus to facilitate machine identification of political relevant parameters based on the Conflict and Mediation Event Observation (CAMEO) codebook (Schrodt 2009, 2012; Boschee, Natarajan and Weischedel 2013)."