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Communication diagrams show much of the same information as sequence diagrams, but because of how the information is presented, some of it is easier to find in one diagram than the other. Communication diagrams show which elements each one interacts with better, but sequence diagrams show the order in which the interactions take place more clearly.
Many models of communication include the idea that a sender encodes a message and uses a channel to transmit it to a receiver. Noise may distort the message along the way. The receiver then decodes the message and gives some form of feedback. [1] Models of communication simplify or represent the process of communication.
The communication skills required for successful communication are different for source and receiver. For the source, this includes the ability to express oneself or to encode the message in an accessible way. [8] Communication starts with a specific purpose and encoding skills are necessary to express this purpose in the form of a message.
Some theorists hold that Lasswell's model is too simple to be called a model of communication and is better characterized as a questioning device. [10] Against this view, it has been argued that the model's simple presentation in terms of five questions is a convenient starting point but does not do justice to its theoretical complexity. [2]
The Shannon–Weaver model is one of the first models of communication. Initially published in the 1948 paper "A Mathematical Theory of Communication", it explains communication in terms of five basic components: a source, a transmitter, a channel, a receiver, and a destination. The source produces the original message.
Schramm's model of communication was published by Wilbur Schramm in 1954. It is one of the earliest interaction models of communication. [1] [2] [3] It was conceived as a response to and an improvement over earlier attempts in the form of linear transmission models, like the Shannon–Weaver model and Lasswell's model.
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Since in MSCs the communication behaviour is presented in a very intuitive and transparent manner, particularly in the graphical representation, the MSC language is easy to learn, use and interpret. In connection with other languages it can be used to support methodologies for system specification, design, simulation, testing, and documentation.