Tracing Public Opinion Online – An Example of Use for Social Network Analysis in Communication Research

Urban, Juliane; Bulkow, Kristin

doi:10.1016/j.sbspro.2013.10.703

Cited by 13 publications

(4 citation statements)

References 20 publications

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“…, we turn to the step (9). Otherwise, we turn to the step (6 Ninthly, we determine the number of the classes and the classes. Lastly, we calculate the weight of the decision expert.…”

Section: Entropy Weight Methodsmentioning

confidence: 99%

“…With the help of social network analysis and quantitative content analysis public opinion building processes on the Web regarding the Nobel Peace Prize nomination of Barack Obama in 2009 would be examined. And they discussed the strengths and weaknesses of the new approach [6]. Ning Ma and Yi Junliu proposed a Super edge Rank algorithm for opinion leader identification based on super network theory which combined the network topology analysis and text mining.…”

Section: Introductionmentioning

confidence: 99%

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The Research on the Network Public Opinion Risk Assessment based on the CWAHP-Entropy Method

Chai

Cheng²

2016

IJSIA

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“…, we turn to the step (9). Otherwise, we turn to the step (6 Ninthly, we determine the number of the classes and the classes. Lastly, we calculate the weight of the decision expert.…”

Section: Entropy Weight Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Research on the Network Public Opinion Risk Assessment based on the CWAHP-Entropy Method

Chai

Cheng²

2016

IJSIA

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“…e development of the Internet has provided new platforms for the formation and dissemination of public opinion. Social networks have become the main channel for the dissemination of public opinion [1]. Users are no longer limited by time and space.…”

Section: Introductionmentioning

confidence: 99%

Understanding the Complexity of Business Information Dissemination in Social Media: A Meta‐Analysis of Empirical Evidence from China

et al. 2021

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With the development of social networks, the complexity of the factors affecting the users’ information dissemination is increasing and the complexity of online social networks and influencing factors of individual behaviors and attitudes make the development of online public opinion present a dynamic, complex, and multifactor evolution. Analyzing the influencing factors of public opinion dissemination is conducive to optimize company management and information diffusion management. However, there has been no comprehensive analysis of the complex factors that influence the dissemination of information; this study focused on synthesizing 20 empirical studies on the influencing factors of China public opinion dissemination from the perspective of the user, and a meta-analysis was conducted. We establish the influencing factors of users’ information adoption model from three aspects of information source reliability, perceived information quality, and the heat of public opinion events based on elaboration likelihood model. The results indicated that the main influencing factors of public opinion communication are authority, reliability, quality of information form, quality of information editing, quality of information utility, and event attendance preference. Among the factors, authority and quality of information editing have more significant impacts on users’ information adoption behavior in the dissemination of public opinion. In addition, whether the type of event was a public emergency had a moderating effect. The results are helpful to explore the universality of the influencing factors so as to help related regulators better build a multiangle supervision mechanism and conduct early warning of information diffusion.

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“…Suo Shuguang and Chen Yu [14] studied the problem of public opinion formation and concentrates in complex network. Juliane Urban and Kristin Bulkow [15] theorized and measured public opinion building processes upon the Internet reliable. Ma Yaping and Shu Xueming et al [16] analyzed the importance for studying the network public opinion of large fire disasters.…”

Section: Introductionmentioning

confidence: 99%

The Optimal Isolation Strategy for Network Public Opinion with Enclosed Environment

Yang¹,

Yu²

2016

Open Cyber

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Abstract:Public opinion dissemination control is of crucial importance to facilitate reliable and efficient data delivery, especially in networks consisting of openness, sharing and convenience. From a systematic point of view, we aim to explore the optimal control policy for information dissemination with relatively enclosed environment. To control the effusion of network public opinion is more important than deleting existing information about it. We depict the impact of isolation strategy on the transmission dynamics of network public opinion. Since the abstraction of information dissemination much resembles the spread of epidemics, a simplified SLIR model is utilized to characterize the collective dynamics of information dissemination over networks. Moreover, an optimal objective based on the maximum social utility is established, namely, minimizing both the total outbreak size of public opinion and the relevant costs of isolations. The optimal solution is acquired by using the Pontryagin's Maximum Principle. Lastly, the simulations to the opinion control efficacy are accomplished, so the effectiveness of the control methods in the network public opinion is verified.

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Tracing Public Opinion Online – An Example of Use for Social Network Analysis in Communication Research

Cited by 13 publications

References 20 publications

The Research on the Network Public Opinion Risk Assessment based on the CWAHP-Entropy Method

The Research on the Network Public Opinion Risk Assessment based on the CWAHP-Entropy Method

Understanding the Complexity of Business Information Dissemination in Social Media: A Meta‐Analysis of Empirical Evidence from China

The Optimal Isolation Strategy for Network Public Opinion with Enclosed Environment

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