Understanding Social Media and Mass Mobilization in the Operational Environment: Relevance of Twitter and Facebook Trends in Army’s Future Operating Environment, Battleswarm and Future Warfare
Nonfiction, History, Military, United States, Computers, Internet
| Author: | Progressive Management | ISBN: | 9781370788811 |
| Publisher: | Progressive Management | Publication: | March 1, 2017 |
| Imprint: | Smashwords Edition | Language: | English |
| Author: | Progressive Management |
| ISBN: | 9781370788811 |
| Publisher: | Progressive Management |
| Publication: | March 1, 2017 |
| Imprint: | Smashwords Edition |
| Language: | English |
This excellent report has been professionally converted for accurate flowing-text e-book format reproduction. The advent of social media combined with unfettered access to inexpensive mobile electronic devices has dramatically increased information sharing throughout populations worldwide. Journalists ascribed terms such as "The Facebook Effect" and "The Twitter Revolution" to recent uprisings in the Middle East, crediting social media as a catalyst to those social movements. Factions demanding change utilized social media to assist in mobilizing activist crowds within their own countries and to garner support on the international stage. The degree to which social media facilitated these movements varied in each country, but the fact that social media played a role in the uprisings is indisputable. This monograph proposes that since people will continue to use social media to help influence future social movements, the US Army needs to better understand, anticipate, and exploit the potential threat presented by social media and mass mobilization in future operating environments.
In some cases, intelligence analysts can predict or anticipate effects based on simple pattern analysis or other predictive models. In other instances, this may prove impossible. The US Army may find that using principles of complexity theory can provide the most continuously useful guide to gain insights into how factions intent on social unrest use social media to help organize their movements and advance towards a common goal. Planners can understand potential threats using characteristics of self-organization, anticipate using emergent properties, and exploit the properties of networks inherent in complex adaptive systems. Using complex systems thinking, the Army may be able to develop unique operational approaches to cope with these problems in an increasingly complex environment.
Acronyms * Introduction * Background * Understand, Anticipate, Exploit Using Principles of Complexity Theory * Defining Terms * Relevance of Social Media and the Army's Future Operating Environment * Increased urbanization will require the US Army to operate in cities * Social media trends * Intersection of trends: battleswarm and possible future warfare * Overview of Egyptian uprisings in 2011 * Common Properties of Complex Systems Provide a Basis for Analysis * Identify the Simple Components before Analyzing the Interactions * Nonlinear Interactions Create Something Superior to the Individual Components * Lack of Central Control Allows for Decentralized Organization * Emergent Behaviors Lead to Evolution of the System * Summary of Common Properties of Complex Systems * Understanding how Mass Mobilization and Social Media Interact through Characteristics of Self-Organization * Clustering Helps Protect Individuals * Flocking and Schooling Assists in Moving Towards a Common Objective * Task Allocation Alters to React to Changing Conditions * Decision-Making through Quorum Sensing * Summary of Characteristics of Self-Organization * Anticipate Using Characteristics of Emergence in a Complex Adaptive System * Information processing through Local Sampling and Statistics * Hierarchical Organizations Promote Survival * Dynamics Determine How the System Changes its Patterns * Systems Adapt through Evolution and Learning * Summary of Emergence in Complex Adaptive Systems * Exploit the Common Properties of Networks * Small World Properties Reveal that Paths in Networks are Shorter than Expected * Long-Tailed Degree Distribution Can Give Insight into Social Network * Clustering and Community Structure Indicate How Quickly Information Travels * Networks May be Vulnerable to Targeted Hub Attacks * Cascading Failure May Collapse the Entire Network * Summary of Network Properties * Conclusion * Bibliography
This excellent report has been professionally converted for accurate flowing-text e-book format reproduction. The advent of social media combined with unfettered access to inexpensive mobile electronic devices has dramatically increased information sharing throughout populations worldwide. Journalists ascribed terms such as "The Facebook Effect" and "The Twitter Revolution" to recent uprisings in the Middle East, crediting social media as a catalyst to those social movements. Factions demanding change utilized social media to assist in mobilizing activist crowds within their own countries and to garner support on the international stage. The degree to which social media facilitated these movements varied in each country, but the fact that social media played a role in the uprisings is indisputable. This monograph proposes that since people will continue to use social media to help influence future social movements, the US Army needs to better understand, anticipate, and exploit the potential threat presented by social media and mass mobilization in future operating environments.
In some cases, intelligence analysts can predict or anticipate effects based on simple pattern analysis or other predictive models. In other instances, this may prove impossible. The US Army may find that using principles of complexity theory can provide the most continuously useful guide to gain insights into how factions intent on social unrest use social media to help organize their movements and advance towards a common goal. Planners can understand potential threats using characteristics of self-organization, anticipate using emergent properties, and exploit the properties of networks inherent in complex adaptive systems. Using complex systems thinking, the Army may be able to develop unique operational approaches to cope with these problems in an increasingly complex environment.
Acronyms * Introduction * Background * Understand, Anticipate, Exploit Using Principles of Complexity Theory * Defining Terms * Relevance of Social Media and the Army's Future Operating Environment * Increased urbanization will require the US Army to operate in cities * Social media trends * Intersection of trends: battleswarm and possible future warfare * Overview of Egyptian uprisings in 2011 * Common Properties of Complex Systems Provide a Basis for Analysis * Identify the Simple Components before Analyzing the Interactions * Nonlinear Interactions Create Something Superior to the Individual Components * Lack of Central Control Allows for Decentralized Organization * Emergent Behaviors Lead to Evolution of the System * Summary of Common Properties of Complex Systems * Understanding how Mass Mobilization and Social Media Interact through Characteristics of Self-Organization * Clustering Helps Protect Individuals * Flocking and Schooling Assists in Moving Towards a Common Objective * Task Allocation Alters to React to Changing Conditions * Decision-Making through Quorum Sensing * Summary of Characteristics of Self-Organization * Anticipate Using Characteristics of Emergence in a Complex Adaptive System * Information processing through Local Sampling and Statistics * Hierarchical Organizations Promote Survival * Dynamics Determine How the System Changes its Patterns * Systems Adapt through Evolution and Learning * Summary of Emergence in Complex Adaptive Systems * Exploit the Common Properties of Networks * Small World Properties Reveal that Paths in Networks are Shorter than Expected * Long-Tailed Degree Distribution Can Give Insight into Social Network * Clustering and Community Structure Indicate How Quickly Information Travels * Networks May be Vulnerable to Targeted Hub Attacks * Cascading Failure May Collapse the Entire Network * Summary of Network Properties * Conclusion * Bibliography
