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The University of Texas at Austin
Critics have declared Metcalfe's law, which states that the value of a network grows as the square of the number of its users, a gross overestimation of the network effect, but nobody has tested the law with real data. Using a generalization of the ...
InfoWorld Publishing Co., San Mateo, CA
The author's involvement in developing Arpanet and Ethernet computer network interfaces is described. The lessons learned in designing and implementing Arpanet in 1969 and Ethernet in 1989 are discussed. It is argued that some of the more general ...
Xerox Palo Alto Research Center
,Xerox Palo Alto Research Center
Xerox Palo Alto Research Center, Palo Alto, CA
,Xerox Palo Alto Research Center, Palo Alto, CA
Ethernet is a branching broadcast communication system for carrying digital data packets among locally distributed computing stations. The packet transport mechanism provided by Ethernet has been used to build systems which can be viewed as either local ...
Xerox Corp., Palo Alto, CA
,Stanford Univ., Stanford, NJ
A broadcast packet is for delivery to all nodes of a network. Algorithms for accomplishing this delivery through a store-and-forward packet switching computer network include (1) transmission of separately addressed packets, (2) multidestination ...
Transaction Technology, Inc., Los Angeles, CA
,Xerox Palo Alto Research Center, Palo Alto, CA
Ethernet is a branching broadcast communication system for carrying digital data packets among locally distributed computing stations. The packet transport mechanism provided by Ethernet has been used to build systems which can be viewed as either local ...
This report develops a theory of packet communication; it analyzes users of computers in digital communication systems and examines structures for organizing computers in highly communicative environments. Various examples from existing computer ...
The more conservative the merging algorithms, the more bits of evidence are required before a merge is made, resulting in greater precision but lower recall of works for a given Author Profile. Many bibliographic records have only author initials. Many names lack affiliations. With very common family names, typical in Asia, more liberal algorithms result in mistaken merges.
Automatic normalization of author names is not exact. Hence it is clear that manual intervention based on human knowledge is required to perfect algorithmic results. ACM is meeting this challenge, continuing to work to improve the automated merges by tweaking the weighting of the evidence in light of experience.
ACM will expand this edit facility to accommodate more types of data and facilitate ease of community participation with appropriate safeguards. In particular, authors or members of the community will be able to indicate works in their profile that do not belong there and merge others that do belong but are currently missing.
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