This report examines the ongoing debate about the Islamic State in Iraq and Syria (ISIS) on Arabic Twitter to better understand the Twitter networks of ISIS supporters and opponents, using a mixed-methods analytic approach to identify and characterize in detail both support and opposition networks. The authors draw on community detection algorithms, lexical analysis to identify key themes and content, and social network analysis.