Center for Applied Network Analysis

Promoting the application of formal network analysis across RAND's research portfolio

Network methods consider systems holistically, rather than focusing on individual characteristics, allowing researchers to provide comprehensive insights and solutions for important policy topics.

The RAND Center for Applied Network Analysis (RCANA) promotes the application of formal network analysis of individuals, organizations, and systems across the full range of RAND’s research portfolio. The tools of network analysis allow us to analyze these relationships throughout a system. We can identify facets of the system—such as key actors, conduits of influence, and important communities—that are critical to the network’s behavior. A network analysis approach can also help us craft network interventions that leverage the structural features of networks to produce policy impacts.

RAND’s network researchers are experts from a range of fields including behavioral and social science, history, communications, business administration, mathematics, physics, and statistics, and engineering. Our background enables us to bring interdisciplinary techniques and insights to our work.

Our Focus

Our approach to network analysis takes the long view, and from every angle. Various methods—including network analysis, complex systems analysis, and social media analysis—allow us to analyze a wide range of relationships to provide objective solutions.

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Methods in Action

  • Journal Article

    Testing a Social Network Intervention to Reduce Substance Use

    A small randomized clinical trial found that a brief computer-assisted Motivational Interviewing social network intervention has potential to positively impact readiness to change alcohol and other drug use and abstinence self-efficacy among formerly homeless individuals transitioning to permanent supportive housing.

  • Report

    Examining ISIS Support and Opposition on Twitter

    ISIS uses Twitter to inspire followers, recruit fighters, and spread its message. Its opponents use Twitter to denounce the group. To identify and characterize in detail both networks on Twitter, researchers use a mixed-methods analytic approach that draws on community detection algorithms to help detect interactive communities of Twitter users, lexical analysis that can identify key themes and content for large data sets, and social network analysis.

  • Multimedia

    Approaches to Counter Russian Social Media Influence

    In this briefing, Elizabeth Bodine-Baron, co-director of the Center for Applied Network Analysis, discusses her research on the challenges combating the threat of Russian influence via disinformation spread on social media. She also shares proposed approaches and recommendations for policymakers.

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Student Spotlight

  • Analyzing Networks, Online and Off

    Within the first few weeks of his arrival at Pardee RAND, Rouslan Karimov (cohort '15) attended two seminars that introduced him to network analysis and changed the course of his academic career. "I am very interested in the spread of information through communication networks," he said. Network analysis "really intrigued me."

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