Design and Analysis of Object Behavior in Media Content-User Relationship Network Model

Author(s):  
Shan Liu ◽  
Kun Huang
2020 ◽  
Author(s):  
Miao Rui ◽  
Dang Qi ◽  
Liang Yong

The COVID-19 virus was first discovered from China. It has been widely spread internationally. Currently, compare with the rising trend of the overall international epidemic situation, China's domestic epidemic situation has been contained and shows a steady and upward trend. In this situation, overseas imports have become the main channel for china to increase the number of infected people. Therefore, how to track the spread channel of international epidemics and predict the growth of overseas case imports is become an open research question. This study proposes a Gaussian sparse network model based on lasso and uses Hong Kong as an example. To explore the COVID-19 virus from a network perspective and analyzes 75 consecutive days of COV-19 data in 188 countries and regions around the world. This article establishes an epidemic spread relationship network between Hong Kong and various countries and regions around the world and build a regression model based on network information to fit Hong Kong's COV-19 epidemic growth data. The results show that the regression model based on the relationship network can better fit the existing cumulative number growth curve. After combining the SEIJR model, we predict the future development trend of cumulative cases in Hong Kong (without blocking international traffic). Based on the prediction results, we suggest that Hong Kong can lift the international traffic blockade from early to mid-June


Author(s):  
Diego Paolo Tsutsumi ◽  
Thiago Henrique Silva

One of the primary ways to expand a business or to keep it stable during a crisis is to create partnerships with other companies. With that, this study presents results regarding a new data model, which explores user reactions on social media to indicate strategic business partnerships. Th ere are three main contributions of this study to the literature: (i) a business relationship network model; (ii) a business community detection algorithm; and (iii) a business outlier detection algorithm. The evaluation of the contributions was performed exploring real data of approximately 280 million user reactions on Facebook. Results suggest that business partnership recommendation is possible using the information available in social media.


1991 ◽  
Vol 8 (1) ◽  
pp. 77-90
Author(s):  
W. Steven Demmy ◽  
Lawrence Briskin
Keyword(s):  

Crisis ◽  
2001 ◽  
Vol 22 (4) ◽  
pp. 163-169 ◽  
Author(s):  
R. Warwick Blood ◽  
Jane Pirkis

Summary: The body of evidence suggests that there is a causal association between nonfictional media reporting of suicide (in newspapers, on television, and in books) and actual suicide, and that there may be one between fictional media portrayal (in film and television, in music, and in plays) and actual suicide. This finding has been explained by social learning theory. The majority of studies upon which this finding is based fall into the media “effects tradition,” which has been criticized for its positivist-like approach that fails to take into account of media content or the capacity of audiences to make meaning out of messages. A cultural studies approach that relies on discourse and frame analyses to explore meanings, and that qualitatively examines the multiple meanings that audiences give to media messages, could complement the effects tradition. Together, these approaches have the potential to clarify the notion of what constitutes responsible reporting of suicide, and to broaden the framework for evaluating media performance.


Author(s):  
Laramie D. Taylor

Research has shown that thoughts about death influence sexual cognitions and some media choices. The present study tested the hypothesis that thoughts about death may affect individuals’ tendency to select or avoid entertainment media programming containing sexual material. In two experiments, thoughts about death (mortality salience [MS]) were manipulated before college undergraduates expressed interest in viewing television shows and movies with varying amounts of sexual content. In both studies, MS was associated with greater overall interest in sexual media content. Although terror management theory would indicate that sexual worldview should moderate this effect, this was not observed to be the case. In addition, MS was not found to affect interest in other types of highly engaging media content including violent and dramatic content. Limitations regarding generalizability are discussed. Results suggest that MS increases a preference for sexual media content, and that this occurs for individuals with diverse sexual values systems. This is discussed in terms of implications for terror management theory and cognitive models of media influence.


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