ArticleSocial network analysis and mining2023
Decision-making approaches in the antagonistic digital communication of the online communities users.
Article in Social network analysis and mining, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Enhancing decision-making support by mining social media data with social network analysis.Social network analysis and mining · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The information space is an effective hybrid warfare tool on the web. This study investigated the decision-making process in the antagonistic digital communication of internet services users. Implementation of the proposed methods in this study minimized the negative impact of the spread of destructive content and actions of unfair competitors in the ecosystem of social internet services. The innovativeness of the suggested methods is the ability to make real-time decisions in a situation of antagonistic behavior of online users. The authors presented a model to secure user data, contributing to sustainable communicative interaction for its managers and users. This article presented approaches to decision-making by online community administrators under conditions of antagonistic behavior of the online services, which ensures the increase of efficiency of online communication. Timely and effective decision-making eliminated the negative impact of conflicts between communities and the spread of threats to users' information security. The algorithm of decision-making by users of stable internet services is suggested. This article contains examples of using the examined Wald and Savage criteria for making optimal decisions, confirmed by many experiments. The developed methods are tested on the online community on the social network Facebook. Supplementary Information: The online version contains supplementary material available at 10.1007/s13278-022-01021-4.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.