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Network Science (2005) / Chapter Skim
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8 Conclusions and Recommendations
Pages 46-52

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From page 46...
... Existing models of social networks, moreover, Conclusion 2. Fundamental knowledge about the predic- represent highly simplified situations and not necessarily tion of the properties of complex networks is primitive.
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From page 47...
... Supciplinary environments, mostly at universities, and then used pliers of fundamental knowledge measure publications, preas required by (vertically integrated) industries to provide sentations, students supervised, awards received, and other the products and services required by customers, including metrics associated with individual investigators.
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From page 48...
... and are mostly left to the consumers of the work science have begun to emerge in different disciplines fundamental knowledge, who must supplement the funda- spanning engineering, biological, and social networks. The mental knowledge generously with empirical knowledge to emerging field is concerned with the development and analyconvert it into the goods and services desired by the paying sis of network representations to create predictive models of customer.
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From page 49...
... The Army, in coordination with these networks are scalable, reliable, robust, and secure. Of other federal agencies, should underwrite a broad particular importance is the ability to design networks whose network research initiative that includes substantial behaviors are predictable in their intended domains of appli- resources for both military and nonmilitary applications cations.
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From page 50...
... This table expresses the committee's investment opportunity space -- namely, those segments of assessment of the relative priorities for these areas, the time the space described in Scenarios 2 and 3 in Chapter 7 and frames in which one might reasonably expect them to be Appendix E They will involve substantial changes in how consummated as actionable technology investment options, the Army invests its R&D dollars and in how it plans and and the degree of commercial interest in exploiting promis- manages these investments.
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From page 51...
... ing appropriate items from this menu, the Army can develop Research on the lower layers of the network architecture a robust network science to "enable progress toward achievis relatively mature. Improving the services offered at these ing Network-Centric Warfare capabilities," as requested in levels is more of an engineering problem than one requiring the statement of task.
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Key Terms

  • fundamental knowledge
  • social networks
  • complex networks
  • research challenges
  • network research

  • engineered networks
  • global networks
  • enable progress
  • called network
  • robust network

  • network representations
  • key research
  • work research
  • work science
  • investigation called

  • adequate fundamental
  • current military
  • design networks
  • complex global
  • predictive models

  • current funding
  • nco capabilities
  • seven major
  • empirical knowledge
  • funding policies

  • appropriate items
  • emerging field
  • core content
  • vertically integrated
  • basic network


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