scholarly journals Research on Public Opinion Propagation Model in Social Network Based on Blockchain

2019 ◽  
Vol 60 (3) ◽  
pp. 1015-1027 ◽  
Author(s):  
Gengxin Sun ◽  
Sheng Bin ◽  
Meng Jiang ◽  
Ning Cao ◽  
Zhiyong Zheng ◽  
...  
Comunicar ◽  
2018 ◽  
Vol 26 (55) ◽  
pp. 39-48 ◽  
Author(s):  
María-Elena Meneses ◽  
Alejandro Martín-del-Campo ◽  
Héctor Rueda-Zárate

This article aims to identify how digital public opinion was articulated on Twitter during the visit of the Republican presidential candidate Donald Trump to Mexico City in 2016 by invitation from the Mexican government, which was preceded by the threat to construct a border wall that Mexico would pay for. Using a mixed methodology made up of computational methods such as data mining and social network analysis combined with content analysis, the authors identify conversational patterns and the structures of the net-works formed, beginning with this event involving the foreign policy of both countries that share a long border. The authors study the digital media practices and emotional frameworks these social network users employed to involve themselves in the controversial visit, marked by complex political, cultural and historical relations. The analysis of 352,203 tweets in two languages (English and Spanish), those most used in the conversations, opened the door to an understanding as to how transnational public opinion is articulated in connective actions detonated by newsworthy events in distinct cultural contexts, as well as the emotional frameworks that permeated the conversation, whose palpable differences show that Twitter is not a homogeneous universe, but rather a set of universes co-determined by sociocultural context. El presente artículo busca identificar cómo se articuló la opinión pública digital en la red social Twitter durante la visita del entonces candidato republicano Donald Trump a la Ciudad de México en el año 2016 por invitación del gobierno mexicano que fue precedida de la amenaza de construir un muro fronterizo que pagaría México. Mediante una metodología mixta compuesta por métodos computacionales tales como minería de datos y análisis de redes sociales combinado con análisis de contenido se identifican los patrones de la conversación y las estructuras de redes que se conformaron a partir de este acontecimiento de la política exterior de ambas naciones que comparten una extensa frontera. Se estudiaron las prácticas mediáticas digitales y los encuadres emocionales con los cuales los usuarios de esta red social se involucraron en la controversial visita marcada por una compleja relación política, cultural e histórica. El análisis de 352.203 tuits en dos idiomas (inglés y español), los más utilizados en las conversaciones, permitió comprender cómo se articula la opinión pública transnacional en acciones conectivas detonadas por eventos noticiosos en contextos culturales distintos, así como los encuadres emocionales que permearon la conversación, cuyas diferencias palpables demuestran que cuando se habla de Twitter no se trata de un universo homogéneo, sino de un conjunto de universos codeterminados por el contexto sociocultural.


2014 ◽  
Vol 513-517 ◽  
pp. 2394-2397
Author(s):  
Hong Biao Xie ◽  
Hong Jun Qiu

Public opinion refers to the certain social groups subjective reflection of certain social phenomena and reality within a period of time. The important measures to maintain social stability and the ruling party's ruling safety are to instantly master the dynamic public opinion and to actively guide social public opinion. In this paper, the author found the model of social network public opinion hotspot issues. The SVM algorithm is adopted to improve the information processing and analysis testing, effectively resolving the text classification problem. It verifies that this method plays an important role in the hot issues analyses of the network link.


Author(s):  
Yan Zhang ◽  
Nengcheng Chen ◽  
Wenying Du ◽  
Shuang Yao ◽  
Xiang Zheng

The online public opinion is the sum of public views, attitudes and emotions spread on major public health emergencies through the Internet, which maps out the scope of influence and the disaster situation of public health events in real space. Based on the multi-source data of COVID-19 in the context of a global pandemic, this paper analyzes the propagation rules of disasters in the coupling of the spatial dimension of geographic reality and the dimension of network public opinion, and constructs a new gravity model-complex network-based geographic propagation model of the evolution chain of typical public health events. The strength of the model is that it quantifies the extent of the impact of the epidemic area on the surrounding area and the spread of the epidemic, constructing an interaction between the geographical reality dimension and online public opinion dimension. The results show that: The heterogeneity in the direction of social media discussions before and after the “closure” of Wuhan is evident, with the center of gravity clearly shifting across the Yangtze River and the cyclical changing in public sentiment; the network model based on the evolutionary chain has a significant community structure in geographic space, divided into seven regions with a modularity of 0.793; there are multiple key infection trigger nodes in the network, with a spatially polycentric infection distribution.


2020 ◽  
Vol 93 ◽  
pp. 103690 ◽  
Author(s):  
Cheng Gong ◽  
Yajun Du ◽  
Xianyong Li ◽  
Xiaoliang Chen ◽  
Xiaoying Li ◽  
...  

Author(s):  
Anaëlle Wilczynski

This article deals with strategic voting under incomplete information. We propose a descriptive model, inspired by political elections, where the information about the vote intentions of the electorate comes from public opinion polls and a social network, modeled as a graph over the voters. The voters are assumed to be confident in the poll and they update the communicated results with the information they get from their relatives in the social network. We consider an iterative voting model based on this behavior and study the associated “poll-confident” dynamics. In this context, we ask the question of manipulation by the polling institute.


Sign in / Sign up

Export Citation Format

Share Document