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Table 5: Summary of Research on Network Effects (Section 6)

in ICT Diffusion to Businesses
by Chris Forman, Avi Goldfarb 2005

Table 3.3. Growth in SWITCH traffic. Average traffic flow from the U.S. to SWITCH, the Swiss academic and research network.

in Internet growth: Is there a "Moore's Law" for data traffic
by K. G. Coffman, K. G. Coffman 2001
Cited by 10

Table 9. Comparison of the solution obtained for the Hanoi network with previous research.

in Application of Global Optimization to the Design of Pipe Networks
by Abebe Arbaminch Water, A. J. Abebe, D. P. Solomatine 1998
Cited by 4

Table 1 Age of References in Neural Networks in Organizational Research

in unknown title
by unknown authors
"... In PAGE 2: ...bilities against statistical methods (e.g., M. Smith, 1993; Warner amp; Misra, 1996). Citations to these research reports are largely missing, with the exception of the work by Detienne, Detienne, and Joshie (2003), which is cited in the text. In addition, the citation list tends to be a bit dated (see Table1 ), which as a graduate research teaching text needs to be more up to date especially considering that in fields other than organizational research, the quantity of published neural network research arti- cles continues to grow dramatically.... ..."

Table 5. Results obtained for the two-loop network in previous research

in Application of Global Optimization to the Design of Pipe Networks
by Abebe Arbaminch Water, A. J. Abebe, D. P. Solomatine 1998
Cited by 4

TABLE 1: GENERAL RESEARCH CHALLENGES APPLIED TO MOBILE NETWORKS

in A Management Automation Framework for Mobile Networks
by Holger Kasinger, Bernhard Bauer, Henning Sanneck, Christoph Schmelz

Table 2: Research variables and their network inputs Variable Type Possible values Input

in Symbolic rule extraction from neural networks: An application to identifying organizations adopting IT
by Rudy Setiono, James Y.L. Thong, Chee-Sing Yap
"... In PAGE 9: ... However, an advantage of the thermometer scheme is that the extra input connections from the additional input node to the nodes in the hidden layer increase the number of connection weights in the network and allow the network higher capacity to t the data. The network inputs required for all variables are summarized in Table2 . The table shows how the original 10 variables are assigned 44 input nodes in the network.... In PAGE 9: ...50. [ Table2 HERE]... ..."

Table 3: Needs for network sharing. Source: own research and [56]

in SHARED UMTS NETWORKS- A Techno-Economic Study on Mobile Network Operators’ Possibilities to Deliver Unique Products and Services-
by Niklas Agevik, Advisors Klas Johansson (kth, Robert Tjernström (teliasonera 2005
"... In PAGE 36: ...4 Mapping of Needs to Sharing Configurations Operators have different reasons of why to share a network. Table3 shows a list of ... ..."

Table 3.3. Growth in SWITCH traffic. Average traffic flow from the U.S. to SWITCH, the Swiss academic and research network. month traffic flow link capacity average

in Internet growth: Is there a “Moore’s Law” for data traffic?, Handbook of Massive Data Sets
by K. G. Coffman, K. G. Coffman, A. M. Odlyzko, A. M. Odlyzko 2001
Cited by 41

Table 3.3. Growth in SWITCH traffic. Average traffic flow from the U.S. to SWITCH, the Swiss academic and research network. month traffic flow link capacity average

in Internet growth: Is there a “Moore’s Law” for data traffic?
by K. G. Coffman, A. M. Odlyzko 2001
Cited by 10
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