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Self-organization of social networks
  in emergency & crisis response
              in Russia
         PhD, Tatiana A. Indina
     Wilson Center, Kennan Institute
              March-2012
• SELF-ORGANIZED NETWORKS:
• How social networks become organized in
  crisis situations? Russian cases
• Crowdsourcing movements: Can government
  trust crowds?
• How on line crowds can be enabled for
  emergency respond?
Disaster and crisis management
                 problems:
• How individuals interact within network and with the government?
  How they become self-organized? How to increase effectiveness of
  the crisis response?
• How to connect crowd and crown in crisis? how can we use social
  media and crowd to help ? Improving communication between
  crowd and crown; how would government enable and disable
  crowds?
• Distribution of information in crisis: how does information flow?
  How to make communication and information exchange more
  efficient?
• How to make message work? Which are access points to the
  network? Developing successful messaging strategies;
• How to bring action offline - how to engage volunteers? Creating
  crowd sourcing regional leadership teams.
Research questions:
• Social media as a catalyst of crowd self-organization in
  emergency; how does s- media effects crowd behavior;
• Self-organized group behavior (Mechanisms of online
  and offline self-organization of social media users);
• Levels of engagement of online social media users to
  offline behavior;
• Communication and messaging inside the network
  (information gathering and dissemination);
• Identification and profiling of online leaders as a key
  access points to self-organized networks;
• Interaction between “crowd and crown” through social
  media in crisis;
Research steps: 1. Develop model of group
Memory              behavior and self- organization in
                                  crisis situations
                 Goal
                                                     CONSIOUSS SELF –
                                                      REGULATION MODEL OF
                              Criteria                BEHAVIOR AND DECISION
   Modeling                   system                  MAKING

                                Result               (Self –regulation lab, PI RAO,
                             achievement             Russia)
                              estimation
  Programmi                                          STRUCTURE-FUNCTIONAL
      ng                                              APPROACH:
                            Result information
                                                 •   Goal of the activity;

                                                 •   Subjective model and
              Correction                             conditions;

                                                 •   Program of the actions;
               Program                           •   Evaluation of results;
              realization
2. Investigate which role Social networks play in
             group self-organization
       how does social media affects group self-organization?
     which factors determine social networks self-organization ?
3. Analyze social networks self-organization in crisis response
(communication patterns, information exchange, behavior and
                         interaction)
Study of social networks behavior:
• What make people engaged in crowdsourcing
  activism?
• How social networks become self-organized in
  crisis situations? (key factors of success and
  failure of crowd mobilization);
• Mechanisms and group dynamics of
  communication within networks?
• Information flow and access points to the
  network;
• Switching from online to action: How can
  government enable crowds?
4. Study of on line activism:
• Online activists and their role in enabling
  social networks;
• Motives which drive online leaders’ actions;
• Liability of their messaging and information;
• Psychological profiling and typology of online
  leaders.
Russian case studies:
Methodology:
•   Social media monitoring (open source data);
•   Content analysis of user generated content;
•   Social network analysis;
•   Structure equation models of users communication &
    behavior;
•   Group sociometry;
•   Experimental behavior models and observations;
•   Psychological profiling of network leaders;
•   Case studies (post event analysis);
Results:
• Model of self-organized behavior of social
  networks in crisis situation;
• Methods of identification and assessment
  online leaders (key competences model);
• Methods to evaluate and improve networks
  self-organization (communication, action,
  information exchange) in crisis response.
Where can be applied:
•   New solutions for emergency communications increasing situational
    awareness and reactivity;
•   Crowdsourcing alerts monitoring and evaluation;
•   Communicating risks & disaster notifications (broadcast alerts; notification
    service; crisis mapping);
•   Communication with communities; diaspora mobilization;
•   Improving communication platforms for social media and government;
•   Coordination citizen gathered information;
•   Improving humanitarian and emergency response;
•   Increasing citizen science &public involvement;
•   Connecting state and local agencies, relief organizations, government
    agencies, social enterprise; researchers, general public and media for
    protecting human security;
•   Global mapping (evaluation of indexes of self-organization potential of
    social networks across the countries: Russia, FSU, CA, USA);
•   Training and development programs for specialists;
Contacts:


Tatiana A. Indina
E-mail: tatiana.indina@wilsoncenter.org
skype: tatiana.indiana
tel: 202-904-0941

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Self organization of social networks study Tatiana Indina 2012

  • 1. Self-organization of social networks in emergency & crisis response in Russia PhD, Tatiana A. Indina Wilson Center, Kennan Institute March-2012
  • 2. • SELF-ORGANIZED NETWORKS: • How social networks become organized in crisis situations? Russian cases • Crowdsourcing movements: Can government trust crowds? • How on line crowds can be enabled for emergency respond?
  • 3. Disaster and crisis management problems: • How individuals interact within network and with the government? How they become self-organized? How to increase effectiveness of the crisis response? • How to connect crowd and crown in crisis? how can we use social media and crowd to help ? Improving communication between crowd and crown; how would government enable and disable crowds? • Distribution of information in crisis: how does information flow? How to make communication and information exchange more efficient? • How to make message work? Which are access points to the network? Developing successful messaging strategies; • How to bring action offline - how to engage volunteers? Creating crowd sourcing regional leadership teams.
  • 4. Research questions: • Social media as a catalyst of crowd self-organization in emergency; how does s- media effects crowd behavior; • Self-organized group behavior (Mechanisms of online and offline self-organization of social media users); • Levels of engagement of online social media users to offline behavior; • Communication and messaging inside the network (information gathering and dissemination); • Identification and profiling of online leaders as a key access points to self-organized networks; • Interaction between “crowd and crown” through social media in crisis;
  • 5. Research steps: 1. Develop model of group Memory behavior and self- organization in crisis situations Goal CONSIOUSS SELF – REGULATION MODEL OF Criteria BEHAVIOR AND DECISION Modeling system MAKING Result (Self –regulation lab, PI RAO, achievement Russia) estimation Programmi STRUCTURE-FUNCTIONAL ng APPROACH: Result information • Goal of the activity; • Subjective model and Correction conditions; • Program of the actions; Program • Evaluation of results; realization
  • 6. 2. Investigate which role Social networks play in group self-organization how does social media affects group self-organization? which factors determine social networks self-organization ?
  • 7. 3. Analyze social networks self-organization in crisis response (communication patterns, information exchange, behavior and interaction)
  • 8. Study of social networks behavior: • What make people engaged in crowdsourcing activism? • How social networks become self-organized in crisis situations? (key factors of success and failure of crowd mobilization); • Mechanisms and group dynamics of communication within networks? • Information flow and access points to the network; • Switching from online to action: How can government enable crowds?
  • 9. 4. Study of on line activism: • Online activists and their role in enabling social networks; • Motives which drive online leaders’ actions; • Liability of their messaging and information; • Psychological profiling and typology of online leaders.
  • 11. Methodology: • Social media monitoring (open source data); • Content analysis of user generated content; • Social network analysis; • Structure equation models of users communication & behavior; • Group sociometry; • Experimental behavior models and observations; • Psychological profiling of network leaders; • Case studies (post event analysis);
  • 12. Results: • Model of self-organized behavior of social networks in crisis situation; • Methods of identification and assessment online leaders (key competences model); • Methods to evaluate and improve networks self-organization (communication, action, information exchange) in crisis response.
  • 13. Where can be applied: • New solutions for emergency communications increasing situational awareness and reactivity; • Crowdsourcing alerts monitoring and evaluation; • Communicating risks & disaster notifications (broadcast alerts; notification service; crisis mapping); • Communication with communities; diaspora mobilization; • Improving communication platforms for social media and government; • Coordination citizen gathered information; • Improving humanitarian and emergency response; • Increasing citizen science &public involvement; • Connecting state and local agencies, relief organizations, government agencies, social enterprise; researchers, general public and media for protecting human security; • Global mapping (evaluation of indexes of self-organization potential of social networks across the countries: Russia, FSU, CA, USA); • Training and development programs for specialists;
  • 14. Contacts: Tatiana A. Indina E-mail: tatiana.indina@wilsoncenter.org skype: tatiana.indiana tel: 202-904-0941