English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

With the increase of frequency users use network, the impact that network influenced on the psychological development is more and more big, especially the character interaction. In this paper, the principle and the theory of computer psychological measurement system has been used, the comprehensive analysis method of network psychological status and role analysis has been designed. The psychological interaction mathematical model has been designed using comprehensive fuzzy evaluation, and the QQ, Wechat, microblog, jingdong, taobao and online game users have been selected as interactive psychological measurement group, the group interactive mental health comprehensive evaluation has been made using computer psychological measurement system, and the group interaction mental health index has been got, which provides theoretical basis for information network research of psychology. Introduction Network, as a virtual space that free from the real world, gives people a drama stage. Internet users are free to choose the show's characters, props, and style through chat tools of QQ, Wechat, microblog, Momo etc, through network mall of taobao, jingdong, dangdang, through online games of martial arts, fantasy. Mathematical model of comprehensive fuzzy evaluation is adopted in this paper, system research on the network psychological and character interactive has been taken using computer psychological measurement system, and the network group users' psychology characteristics group has been got. The framework design of Personal interaction network psychology and character analysis The impact that Personality interaction effect on network psychology and role play is very large, and certain evaluation model and the computer measurement system are needed in this effect evaluation. We uses comprehensive fuzzy evaluation and computer measurement system for Internet users to evaluate the psychological interactivity in this paper, and we design the overall framework of the network psychological evaluation, as shown in figure 1. Fig.1 Internet users’ network role interactive analysis frame diagram Figure 1 shows the netizen network role psychology interactive analysis frame diagram, using the computer measuring system can realize comprehensive evaluation of group psychology, the 2014 International Conference on Computer Science and Electronic Technology (ICCSET 2014) © 2015. The authors Published by Atlantis Press 216 selection of group rely on the psychological characteristics of real life, including the various kind of the role of network users, such as Wechat, microblog, QQ, jingdong, taobao and online users, etc. After selecting the network group, we uses the computer psychology measurement system to analyze psychological measurement data, then we can get the interactive analysis result of network group psychological role finally. The fuzzy control algorithm design of computer network psychology evaluation The basic domain of the fuzzy control algorithm of computer Network psychology evaluation is Q [-300,300], the basic domain of qc is [-200,200], the basic range of the resulting output V is [-300, 300]. First of all, we uses the algebraic expression to discrete fuzzy control algorithm of intelligent control system, )] 2 ( 2 [ j i x i j n y + − − = (1) In the formula (1), ] , [ j i x∈ , n is measuring group, Discrete degree of Q、qc and V is n=3, we can get three discrete areas after discretization, E=EC=U={-3,-2,-1,0,1,2,3},300 sub-matrix relationship are obtained by discretization. ) 300 , , 2 , 1 ( 2 1 3  3   = = i R R R R i (2) The output of the network psychology computer measurement results is shown in formula (3). R EC E U • × = ) ( (3) We make a weighted average of the simulation output in the form of a weighted average, the fuzzy control of the final evaluation results is shown in formula (4), ) 300 , , 2 , 1 ( ) ( ) (

Network Psychological Status and Role Analysis Based on Theory of Personality Interaction