Title of article :
How information influences an individual opinion evolution
Author/Authors :
Deng، نويسنده , , Lei and Liu، نويسنده , , Yun-E Zeng، نويسنده , , Qing-An، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
Abstract :
We propose an opinion formation model which takes an individual’s opinion transition probability into consideration. In the model, each individual updates his/her opinion based on the probability of reception and acceptance. We describe the process of opinion evolution by using individual’s awareness W i , message intensity a 0 and message credibility b 0 . Results show that if a message’s view stays below 1 and its credibility takes a value around 2, it can win the trust of individuals with a high value of awareness ( W i ≥ 1 ), leading the public opinion to support the message’s own view within 100 steps and then decide the opinion formation. The final average opinion is closely related to the first message’s credibility and individual’s awareness.
Keywords :
Opinion evolution , Opinion transition probability , Parameters distribution
Journal title :
Physica A Statistical Mechanics and its Applications
Journal title :
Physica A Statistical Mechanics and its Applications