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Research On Innovation Diffusion Of Network Red Fans Based On Cellular Automata

Posted on:2018-10-26Degree:MasterType:Thesis
Country:ChinaCandidate:R L ZhuFull Text:PDF
GTID:2348330515999522Subject:System theory
Abstract/Summary:PDF Full Text Request
With the development of society,the continuous improvement of science and technology in China,people are more and more familiar with "Internet +".Modern life gradually integrated with the network,whether it is scientific and technological innovation,or life,work,are unknowingly close in "Internet+",such as:Internet + education,Internet + industry,Internet +agriculture and so on.This article is also a product of the diffusion of "Internet +".The study of the proliferation of innovative products began as early as the 1960s,in which the more widely used Bass model contributed the most,and then the two-tier network model also brought great convenience to later scholars,The paper use two-layer network model to analyze,simulation and summary the diffusion of network red powder.As the emergence of network red,the red economy,everyone wants to be online red,everyone wants to have a lot of fans,investors also want to rely on network red to get more profits.But the amount of red mesh fans is difficult to predict,and some network red themselves are not clear how to get more fans.Therefore,this paper has carried out the following research on the amount of red powder.(1)Based on the two-layer network model,a cellular automata model of the diffusion of the reddish fiber is established.According to the data of Sina Weibo and some surveys,initially identified several major influencing factors of the diffusion of the net fans are:① Factor(push contents)② concept leader(person with the authority of discourse right)③ fan potential scale number.After analysis,the greater the internal factor(push content),the faster the amount of reddish fans spread;the more positive the concept of leadership,the faster the spread of red silk fans;the more the concept of negative leaders,the more difficult to spread the number of fans;The larger the number of potential fans,the faster the spread of the red fiber.(2)Taking Papi as an example,this paper makes an empirical analysis of the diffusion of the network fans and compares it with the real data(this data is absolutely true).The analysis concludes that the cellular automaton simulation data trend is the same as the actual data growth trend.Through the simulation of cellular automata,we can understand the specific process of diffusion of each fan and the influence on the surrounding potential fans from a microscopic point of view.(3)Summed up and concluded that if the network red want to increase the amount of fans,they can consider to make appropriate adjustments on the internal factors(push content),the number of concept leaders.They can also try to publish news on multiple platforms,such as Sina weibo,Biography,quick worker,KuGou,and other platforms to promo.
Keywords/Search Tags:network red, fan, innovation diffusion, concept leader, internal factor
PDF Full Text Request
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