A prediction model of post subjects based on information lifecycle in forum

Sun, Zhoutong; Peng, Qinke; Jia, Lixin; Zhang, Jing

doi:10.1016/j.ins.2015.12.019

Cited by 16 publications

(4 citation statements)

References 29 publications

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“…Finally, our work contributes to the rich literature on similarity on social and information networks [45,44,73,29,13,66]. Previous research has stressed the role of structural similarity metrics, i.e., similarity metrics based either on the time-aggregate contact network of individuals (who is connected to whom) [35,80,42] or on the time-aggregate useritem bipartite adoption network (who collected what) [44,83].…”

Section: Discussionmentioning

confidence: 99%

Temporal similarity metrics for latent network reconstruction: The role of time-lag decay

Liao

Liu

Zhou

et al. 2019

Information Sciences

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When investigating the spreading of a piece of information or the diffusion of an innovation, we often lack information on the underlying propagation network. Reconstructing the hidden propagation paths based on the observed diffusion process is a challenging problem which has recently attracted attention from diverse research fields. To address this reconstruction problem, based on static simi-A PREPRINT -APRIL 5, 2019 larity metrics commonly used in the link prediction literature, we introduce new node-node temporal similarity metrics. The new metrics take as input the time-series of multiple independent spreading processes, based on the hypothesis that two nodes are more likely to be connected if they were often infected at similar points in time. This hypothesis is implemented by introducing a time-lag function which penalizes distant infection times. We find that the choice of this time-lag strongly affects the metrics' reconstruction accuracy, depending on the network's clustering coefficient and we provide an extensive comparative analysis of static and temporal similarity metrics for network reconstruction. Our findings shed new light on the notion of similarity between pairs of nodes in complex networks.

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Section: Discussionmentioning

confidence: 99%

Temporal similarity metrics for latent network reconstruction: The role of time-lag decay

Liao

Liu

Zhou

et al. 2019

Information Sciences

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“…Lifecycle theory was initially applied to product iteration and economic development. In recent years, some scholars have introduced this theory to the field of emergency information management and control of public opinion [ 17 ]. The pattern of news-based public opinion fluctuation conforms to information ecosystem theory, and the formation, dissemination, and guidance of news information in the network exhibit corresponding lifecycle characteristics [ 18 ].…”

Section: Research Reviewmentioning

confidence: 99%

The impact and management of internet-based public opinion dissemination during emergencies: A case study of Baidu News during the first wave of coronavirus disease 2019 (COVID-19)

Su,

Wang

2024

PLoS ONE

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Background and aims The coronavirus disease 2019 (COVID-19) public health emergency has had a huge impact worldwide. We analyzed news headlines and keywords from the initial period of COVID-19, and explored the dissemination timeline of news related to the epidemic, and the impact of Internet-based media on the public using lifecycle theory and agenda-setting theory. We aimed to explore the impact of Baidu news headlines on public attention during the first wave of COVID-19, as well as the management mechanism of regulatory departments for social public opinion. Methods We searched Baidu News using the keywords “Novel Coronavirus” and “COVID-19” from 8 January to 21 February 2020, a total of 45 days, and used Python V3.6 to extract news samples during the first wave of the epidemic. We used text analysis software to structurally process captured news topics and content summaries, applied VOSviewer V6.19 and Ucinet V6.0 to examine key aspects of the data. Results We analyzed the impact of Baidu News headlines on social opinion during the first wave of COVID-19 in the budding, spread, and outbreak stage of the information lifecycle. From clustering visualization and social network analysis perspectives, we explored the characteristics of Baidu News during the initial stage of the COVID-19. The results indicated that agenda-setting coverage through online media helped to mitigate the negative impact of COVID-19. The findings revealed that news reporting generated a high level of public attention toward a specific emergency event. Conclusions The public requires accurate and objective information on the progress of COVID-19 through Baidu News headlines to inform their planning for the epidemic. Meanwhile, government can enhance the management mechanism of news dissemination, correct false and inaccurate news, and guide public opinion in a positive direction. In addition, timely official announcements on the progress of the COVID-19 outbreak and responses to matters of public concern can help calm tensions and maintain social stability.

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“…In this case, for the construction of prediction models, it is necessary to use the synthesis of various discrete simulation methods using logical means [8]. In order to correctly use this approach, it is necessary to implement it within the framework of heuristic methods based on the use of hypotheses about the processes of occurrence of events [9]. In this case, it is possible to take into account significant nonlinearities.…”

Section: Analysis Of Basic Characteristics Of Prediction Processesmentioning

confidence: 99%

Forecasting and Predicting in Engineering Tasks

Afanasyeva

Korostil

2019

Journal of KONBiN

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The work analyzes the tasks of solving problems, which consist in determining the events that may occur through some time after the completion of the process of solving the problem. One of the possible classifications of such tasks is proposed. The analysis of differences between different types of tasks is carried out, features of implementing the processes of their resolution are revealed. The paper considers in detail such types of tasks as prognosis and prediction. Differences are described between these processes with each other and the characteristics that determine each of the processes. The comparison of various types of processes in the overall forecasting process is presented.

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A prediction model of post subjects based on information lifecycle in forum

Cited by 16 publications

References 29 publications

Temporal similarity metrics for latent network reconstruction: The role of time-lag decay

Temporal similarity metrics for latent network reconstruction: The role of time-lag decay

The impact and management of internet-based public opinion dissemination during emergencies: A case study of Baidu News during the first wave of coronavirus disease 2019 (COVID-19)

Forecasting and Predicting in Engineering Tasks

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