ABSTRACT
In present days of growing information technology, many browsers available for surfing and web mining. A user
has option to use any of them at a time to mine out the desired website. Every browser has pre-defined level of
popularity and reputation in the market. This paper considers the setup of only two browsers in a computer system
and a user prefers to any one, if fails, switches to the other one .The behavior of user is modeled through Markov
chain procedure and transition probabilities are calculated. The quitting to browsing is treated as a parameter of
variation over the popularity. Graphical study is performed to explain the inter relationship between user behavior
parameters and browser market popularity parameters. If rate of a company is lowest in terms of browser failure
and lowest in terms of quitting probability then company enjoys better popularity and larger user proportion.
Keywords: - Markov Chains (MC), Transition Probability Matrix (TPM), Quality of Service (QOS),
Browser Failure (BF).