Elijahʼs workshop at the 2014 Humanities Intensive Teaching and Learning (HILT) Institute, and teaching and learning network analysis.
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- The Humanities Intensive Teaching and Learning (HILT) Institute will be held August 4-8, 2014 on the campus of the University of Maryland.
- Network theory is an area of computer science and network science and part of graph theory.
- The Goldilocks principle states that something must fall within certain margins, as opposed to reaching extremes. When the effects of the principle are observed, it is known as the Goldilocks effect.
- Systems thinking is the process of understanding how things, regarded as systems, influence one another within a whole. In nature, systems thinking examples include ecosystems in which various elements such as air, water, movement, plants, and animals work together to survive or perish. In organizations, systems consist of people, structures, and processes that work together to make an organization “healthy” or “unhealthy”. Systems thinking has roots in the General System Theory that was advanced by Ludwig von Bertalanffy in the 1940s and furthered by Ross Ashby in the 1950s.
- This interactive application is designed to provide an overview of various network analysis principles used for analysis and representation. It also provides a few examples of untraditional networks used in digital humanities scholarship. Finally, along with the various methods described interactively here are links to related scholarship.
- Networks, Crowds, and Markets combines different scientific perspectives in its approach to understanding networks and behavior. Drawing on ideas from economics, sociology, computing and information science, and applied mathematics, it describes the emerging field of study that is growing at the interface of all these areas, addressing fundamental questions about how the social, economic, and technological worlds are connected.
- In graph theory and network analysis, centrality refers to indicators which identify the most important vertices within a graph. Applications include identifying the most influential person(s) in a social network, key infrastructure nodes in the Internet or urban networks, and super spreaders of disease. Centrality concepts were first developed in social network analysis, and many of the terms used to measure centrality reflect their sociological origin.
- The Advanced Research Projects Agency Network (ARPANET) was one of the world’s first operational packet switching networks, the first network to implement TCP/IP, and the progenitor of what was to become the global Internet.
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