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The Shannon–Weaver model is one of the earliest models of communication. [2] [3] [4] It was initially published by Claude Shannon in his 1948 paper "A Mathematical Theory of Communication". [5] The model was further developed together with Warren Weaver in their co-authored 1949 book The Mathematical Theory of Communication.
Shannon's diagram of a general communications system, showing the process by which a message sent becomes the message received (possibly corrupted by noise) This work is known for introducing the concepts of channel capacity as well as the noisy channel coding theorem. Shannon's article laid out the basic elements of communication:
The Shannon–Weaver model has been influential in the fields of communication theory and information theory. [90] [94] However, it has been criticized because it simplifies some parts of the communicative process. For example, it presents communication as a one-way process and not as a dynamic interaction of messages going back and forth ...
The main landmark event that opened the way to the development of the information theory form of communication theory was the publication of an article by Claude Shannon (1916–2001) in the Bell System Technical Journal in July and October 1948 under the title "A Mathematical Theory of Communication". [11] Shannon focused on the problem of how ...
Shannon–Weaver model of communication, which focuses on how a message is first translated into a signal and then back into a message. The Shannon–Weaver model is another influential linear transmission model. [31] It is based on the idea that a source creates a message, which is then translated into a signal by a transmitter.
The foundation of the uncertainty reduction theory stems from the information theory, originated by Claude E. Shannon and Warren Weaver. [2] Shannon and Weaver suggests, when people interact initially, uncertainties exist especially when the probability for alternatives in a situation is high and the probability of them occurring is equally high. [6]
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Symbolic communication is the exchange of messages that change a priori expectation of events. Examples of this are modern communication technology and the exchange of information amongst animals. By referring to objects and ideas not present at the time of communication, a world of possibility is opened.