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Journal articles on the topic 'Rutor'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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1

Monticelli, Damiano, Constant M. G. van den Berg, Andrea Pozzi, and Carlo Dossi. "Copper Speciation in Glacial Stream Waters of Rutor Glacier (Aosta Valley, Italy)." Australian Journal of Chemistry 57, no. 10 (2004): 945. http://dx.doi.org/10.1071/ch04181.

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The chemical speciation of copper in stream waters from Rutor Glacier was determined by cathodic stripping voltammetry with ligand competition against salicylaldoxime. The complexation of salicylaldoxime was calibrated at various calcium concentrations, the major competing cation in these waters. Copper concentrations (3–7 nM) were approximately ten-fold lower than typical for rain waters in this region, indicating that copper had been removed by adsorption onto rock and other particles. Strong copper binding ligands, with log K′CuL = 12.5–12.9, were detected in all samples, including waters e

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2

Burga, C. A. "Végétation et paléoclimatologie de l'Holocène moyen d'une ancienne tourbière située au front du Glacier du Rutor, 2 510m (Vallée d'Aoste, Italie). / Vegetation and paleoclimatology of the Middle Holocene of a former peat bog situated at the front of the Rutor Glacier, 2510 m (Aosta valley, Italy)." Revue de géographie alpine 83, no. 1 (1995): 9–16. http://dx.doi.org/10.3406/rga.1995.3787.

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Peñas, Anselmo, José Templado, and José Luis Martínez. "Contribución al conocimiento de los Pyramidelloidea (Gastropoda: Heterostropha) del Mediterráneo español." Iberus 14(1) (June 30, 1996): 1–82. https://doi.org/10.5281/zenodo.4642118.

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The 91 species of Pyramidelloidea found in the Mediterranean Spanish coasts are listed, along with the localities in which they were found and the number of specimens studied in each one. Thirty one of these species are recorded for the first time in the geographic area covered for this study, and 17 constitute first records for the Spanish coasts: <em>Chrysallida brattstroemi </em>Warén, 1991, <em>Chrysallida ghisottii </em>(van Aartsen, 1984), <em>Eulimella ataktos </em>Warén, 1991, <em>Puposyrnola minuta </em>(H. Adams, 1869), <em>Odostomia angusta </em>Jeffreys, 1867, <em>O.

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Badino, Federica, Cesare Ravazzi, Francesca Vallè, et al. "8800 years of high-altitude vegetation and climate history at the Rutor Glacier forefield, Italian Alps. Evidence of middle Holocene timberline rise and glacier contraction." Quaternary Science Reviews 185 (April 2018): 41–68. http://dx.doi.org/10.1016/j.quascirev.2018.01.022.

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Corte, Elisabetta, Andrea Ajmar, Carlo Camporeale, et al. "Multitemporal characterization of a proglacial system: a multidisciplinary approach." Earth System Science Data 16, no. 7 (2024): 3283–306. http://dx.doi.org/10.5194/essd-16-3283-2024.

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Abstract. The recession of Alpine glaciers causes an increase in the extent of proglacial areas and leads to changes in the water discharge and sediment balance (morphodynamics and sediment transport). Although the processes occurring in proglacial areas are relevant not only from a scientific point of view but also for the purpose of climate change adaptation, there is a lack of work on the continuous monitoring and multitemporal characterization of these areas. This study offers a multidisciplinary approach that merges the contributions of different scientific disciplines, such as hydrology,

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Burga, Conradin A. "Vegetation History and Palaeoclimatology of the Middle Holocene: Pollen Analysis of Alpine Peat Bog Sediments, Covered Formerly by the Rutor Glacier, 2510 m (Aosta Valley, Italy)." Global Ecology and Biogeography Letters 1, no. 5 (1991): 143. http://dx.doi.org/10.2307/2997428.

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Zhang, Yaming, Yanyuan Su, Weigang Li, and Haiou Liu. "Modeling rumor propagation and refutation with time effect in online social networks." International Journal of Modern Physics C 29, no. 08 (2018): 1850068. http://dx.doi.org/10.1142/s0129183118500687.

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Rumor propagation and refutation form an important issue for spreading dynamics in online social networks (OSNs). In this paper, we introduce a novel two-stage rumor propagation and refutation model with time effect for OSNs. The dynamical mechanism of rumor propagation and refutation with time effect is investigated deeply. Then a two-stage model and the corresponding mean-field equations in both homogeneous and heterogeneous networks are obtained. Monte Carlo simulations are conducted to characterize the dynamics of rumor propagation and refutation in both Watts–Strogatz network and Barabási

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BODAGHI, AMIRHOSEIN, and SAMA GOLIAEI. "A NOVEL MODEL FOR RUMOR SPREADING ON SOCIAL NETWORKS WITH CONSIDERING THE INFLUENCE OF DISSENTING OPINIONS." Advances in Complex Systems 21, no. 06n07 (2018): 1850011. http://dx.doi.org/10.1142/s021952591850011x.

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Rumor spreading is a good sample of spreading in which human beings are the main players in the spreading process. Therefore, in order to have a more realistic model of rumor spreading on online social networks, the influence of psycho-sociological factors particularly those which affect users’ reactions toward rumor/anti-rumor should be considered. To this aim, we present a new model that considers the influence of dissenting opinions on those users who have already believed in rumor/anti-rumor but have not spread the rumor/anti-rumor yet. We hypothesize that influence is a motive for the bel

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9

Sun, Ling, Yun Liu, Qing-An Zeng, and Fei Xiong. "A novel rumor diffusion model considering the effect of truth in online social media." International Journal of Modern Physics C 26, no. 07 (2015): 1550080. http://dx.doi.org/10.1142/s0129183115500801.

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In this paper, we propose a model to investigate how truth affects rumor diffusion in online social media. Our model reveals a relation between rumor and truth — namely, when a rumor is diffusing, the truth about the rumor also diffuses with it. Two patterns of the agents used to identify rumor, self-identification and passive learning are taken into account. Combining theoretical proof and simulation analysis, we find that the threshold value of rumor diffusion is negatively correlated to the connectivity between nodes in the network and the probability β of agents knowing truth. Increasing β

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10

Pal, Anjan, Alton Y. K. Chua, and Dion Hoe-Lian Goh. "Does KFC sell rat? Analysis of tweets in the wake of a rumor outbreak." Aslib Journal of Information Management 69, no. 6 (2017): 660–73. http://dx.doi.org/10.1108/ajim-01-2017-0026.

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Purpose In the wake of a rumor outbreak, individuals exchange three types of messages: rumor messages, counter-rumor messages, and uncertainty-expressing messages. However, the properties of the three types of messages are relatively unknown particularly in the social media context. Hence, the purpose of this paper is to examine these three types of messages posted on social media in the wake of a rumor outbreak. Design/methodology/approach Data included tweets posted after the outbreak of a rumor that wrongly accused the fast food chain Kentucky Fried Chicken (KFC) for selling rats instead of

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Ji, Peinan, Xiangbin Yan, and Guang Yu. "Can Rumor Clarification Eliminate the Effects of Rumors?" International Journal of Asian Business and Information Management 11, no. 1 (2020): 48–62. http://dx.doi.org/10.4018/ijabim.2020010103.

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This article analyzes the effects of rumor and official rumor clarification on Chinese stock returns under different rumor conditions using an event study. The results are based on a sample of 832 rumor clarification announcements from China Listed Companies spanning the period of 2015 to 2017. The results show that the average cumulative abnormal return after the rumor event is significantly positive in the positive rumor sample and neutral sample, and significantly negative in the negative rumor sample. After the clarification announcements, we find the announcements effective for the positi

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Huo, Liang’an, and Yuqing Zhang. "Effect of Global and Local Refutation Mechanism on Rumor Propagation in Heterogeneous Network." Mathematics 10, no. 4 (2022): 586. http://dx.doi.org/10.3390/math10040586.

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In the process of rumors propagation, the behavior of individuals to propagation or refutation is not only influenced by the surrounding global environment but also the local environment. In this paper, a modified rumor propagation model is proposed considering the global and local effects of the rumor refutation mechanism and the activity rate of individuals in a heterogeneous network, and the dynamics process of the rumor propagation is derived by using the mean-field equation. Combining theoretical proving and simulation analysis, it shows that the critical threshold of rumor propagation ha

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Ding, Qian, and Xingyu Luo. "People with High Perceived Infectability Are More Likely to Spread Rumors in the Context of COVID-19: A Behavioral Immune System Perspective." International Journal of Environmental Research and Public Health 20, no. 1 (2022): 703. http://dx.doi.org/10.3390/ijerph20010703.

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Since the outbreak of COVID-19, many studies have explored the influencing factors of rumor spreading, such as anxiety, risk perception and information source credibility, but few studies have focused on the impact of individual differences. Based on the theory of behavioral immune systems, we investigated the impact of perceived infectability on rumor spreading and the mediating role of rumor trust in the context of COVID-19. Two studies were investigated using the scale and recall–report task of rumor spreading. The results show that perceived infectability was a significant positive predict

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Liu, Yanchao, Pengzhou Zhang, Deyu Li, and Junpeng Gong. "Dynamic analysis and optimum control of a rumor spreading model with multivariate gatekeepers." AIMS Mathematics 9, no. 11 (2024): 31658–78. http://dx.doi.org/10.3934/math.20241522.

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<p>Rumor spreading on social media platforms can significantly impact public opinion and decision-making. In this paper, we proposed an innovative ignorant-spreader-expositor-hibernator-remover (ISEHR) rumor-spreading model with multivariate gatekeepers. Specifically, by analyzing the model's dynamics, we identified the critical threshold that determined the persistence or extinction of rumor spreading. Moreover, we applied the Routh-Hurwitz judgment, Lyapunov theory, and LaSalle's invariance principle to investigate the existence and stability of the rumor-free/rumor equilibrium points.

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15

Kushner, A. "Rumor." Literary Imagination 13, no. 3 (2011): 320. http://dx.doi.org/10.1093/litimag/imr077.

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Kushner, Aviya. "Rumor." Literary Imagination 13, no. 3 (2011): 320. https://doi.org/10.1353/lim.2011.a942666.

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Du, Xinyu, Limei Ou, Ye Zhao, Qi Zhang, and Zongmin Li. "Applications of Advanced Analysis Technologies in Precise Governance of Social Media Rumors." Applied Sciences 11, no. 15 (2021): 6726. http://dx.doi.org/10.3390/app11156726.

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Social media rumor precise governance is conducive to better coping with the difficulties of rumor monitoring within massive information and improving rumor governance effectiveness. This paper proposes a conceptual framework of social media rumor precise governance system based on literature mining. Accordingly, insightful directions for achieving social media rumor precise governance are introduced, which includes (1) rational understanding of social media rumors, especially large-scale spreading false rumors and recurring false rumors; (2) clear classification of rumor spreaders/believers/r

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18

Harista, Tasya Salsabilla, and Muhammad Subhan. "Model Penyebaran Rumor di Media Sosial." Journal of Mathematics UNP 8, no. 2 (2023): 93. http://dx.doi.org/10.24036/unpjomath.v8i2.14515.

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Rumors are information that spreads widely without any confirmation of truth and definite facts. One of the media that is used in rumors spreading is social media. The negative impact raised by rumors spreading through social media is the disruption of social stability, economic systems, and politics. The research purpose is to analyze the rumor spreading model on social media. This research is basic research (theoretical) using descriptive methods. The analytical results are obtained of a rumor-free equilibrium point and a rumor spread equilibrium point, each of which is asymptotic stable. Th

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19

Boquera, Esther. "La naturalesa del rumor i els motius de transmissió." Tripodos, no. 15 (December 20, 2003): 61–78. https://doi.org/10.51698/tripodos.2003.15.61-78.

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Starting from the premise that the creation and spreaending of rumor is neither random nor gratuitous, this atticie attempts to show the mechanisms behind rumor. After analyzing its ambiguous nature, this paper analyses the functions of rumor, or what is essentially the same, the power of rumor and how it is born naturally. We defend the idea that rumor is spread in order to collaborate in the interpretation of uncertain situations and as an informal way to exercise social control over realities that are problematic to deal with openly. In addition, we describe the uses of rumor, that is, why

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20

Wang, Yan, Feng Qing, Jian-Ping Chai, and Ye-Peng Ni. "Spreading Dynamics of a 2SIH2R, Rumor Spreading Model in the Homogeneous Network." Complexity 2021 (February 10, 2021): 1–9. http://dx.doi.org/10.1155/2021/6693334.

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With the rapid development of social network in recent years, the threshold of information dissemination has become lower. Most of the time, rumors, as a special kind of information, are harmful to society. And once the rumor appears, the truth will follow. Considering that the rumor and truth compete with each other like light and darkness in reality, in this paper, we study a rumor spreading model in the homogeneous network called 2SIH2R, in which there are both spreader1 (people who spread the rumor) and spreader2 (people who spread the truth). In this model, we introduced discernible mecha

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21

Huo, Liang’an, Sijing Chen, Xiaoxiao Xie, Huiyuan Liu, and Jianjia He. "Optimal Control of ISTR Rumor Propagation Model with Social Reinforcement in Heterogeneous Network." Complexity 2021 (December 22, 2021): 1–15. http://dx.doi.org/10.1155/2021/5682543.

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The wide spread of rumor is undoubtedly harmful to social stability; we should try to lower the effect of rumor on society. Therefore, it is reasonable to put forward the rumor control strategy on the basis of the study of the law of rumor propagation. Firstly, the ISTR model of rumor is established by including influencing factors of true information spreader and social reinforcement. And by using the next generation matrix method, the basic reproduction number of rumor is obtained. Then, in order to minimize the adverse effects of rumors, through introducing two control strategies of scienti

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22

Chen, Jianhong, Hongcai Ma, and Shan Yang. "SEIOR Rumor Propagation Model Considering Hesitating Mechanism and Different Rumor-Refuting Ways in Complex Networks." Mathematics 11, no. 2 (2023): 283. http://dx.doi.org/10.3390/math11020283.

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Considering that the state transfer rules between nodes in existing rumor propagation models are mostly based on a single propagation mechanism, and most of the models have a single way of refuting rumors, in this paper, a new SEIOR rumor propagation model (ignorant (S), hesitators (E), spreaders (I), rumor debunkers (O), immunizers (R)) is proposed by introducing hesitators and rumor debunkers and combining different rumor-refuting ways of rumor debunkers. Firstly, the dynamics process of the propagation model is described by using the mean-field equations. Secondly, the equilibrium point and

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Zhang, Yuan, and Ye Guo. "A Study on Rumor Propagation Model on Micro-Blogging Platforms." Advanced Materials Research 717 (July 2013): 808–11. http://dx.doi.org/10.4028/www.scientific.net/amr.717.808.

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Rumor is one of the principal factors to affect public sentiment. With the development of Internet, the group of the micro-bloggers continuously grows. The special propagation mode of micro-blogging brings challenge to the rumor management. This article summarizes the features of information dissemination of micro-blogging and has a review on the traditional rumor propagation models. Furthermore, the process of rumor propagation on the micro-blogging platform is deeply analyzed, the micro-bloggers in the process of rumor propagation are classified and the rumor propagation model on the micro-b

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Miyabe, Mai, Akiyo Nadamoto, and Eiji Aramaki. "How do rumors spread during a crisis?" International Journal of Web Information Systems 10, no. 4 (2014): 394–412. http://dx.doi.org/10.1108/ijwis-04-2014-0015.

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Purpose – This aim of this paper is to elucidate rumor propagation on microblogs and to assess a system for collecting rumor information to prevent rumor-spreading. Design/methodology/approach – We present a case study of how rumors spread on Twitter during a recent disaster situation, the Great East Japan earthquake of March 11, 2011, based on comparison to a normal situation. We specifically examine rumor disaffirmation because automatic rumor extraction is difficult. Extracting rumor-disaffirmation is easier than extracting the rumors themselves. We classify tweets in disaster situations, a

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Wang, Jiajia, and Xiaoyan Qiu. "Official long-term and short-term strategies for preventing the spread of rumors." Electronic Research Archive 31, no. 8 (2023): 4862–81. http://dx.doi.org/10.3934/era.2023249.

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<abstract> <p>Recently, public security incidents caused by rumor spreading have frequently occurred, leading to public panic, social chaos and even casualties. Therefore, how governments establish strategies to restrain rumor spreading is important for judging their governance capacity. Herein, we consider one long-term strategy (education) and two short-term strategies (isolation and debunking) for officials to intervene in rumor spreading. To investigate the effects of these strategies, an improved rumor-spreading model and a series of mean-field equations are proposed. Through

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Liqing, Qiu, and Liu Shuqi. "SVIR rumor spreading model considering individual vigilance awareness and emotion in social networks." International Journal of Modern Physics C 32, no. 09 (2021): 2150120. http://dx.doi.org/10.1142/s0129183121501205.

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Rumor, as a form of information, can be widely spread in a short time. A host of researchers focus on the spread of rumor, aiming to explore the rules of rumor spreading and put forward effective measures to help control the spread of rumor. In real life, when the individual is not interested in the rumor spread or feels that the rumor is not related to him, it is easy to trigger the individual’s vigilance awareness. On the contrary, if the rumor is more closely related to the individual’s life, the individual will usually be less alert and have great motivation to share it with friends. Based

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Zhao, Hongyong, and Linhe Zhu. "Dynamic Analysis of a Reaction–Diffusion Rumor Propagation Model." International Journal of Bifurcation and Chaos 26, no. 06 (2016): 1650101. http://dx.doi.org/10.1142/s0218127416501017.

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The rapid development of the Internet, especially the emergence of the social networks, leads rumor propagation into a new media era. Rumor propagation in social networks has brought new challenges to network security and social stability. This paper, based on partial differential equations (PDEs), proposes a new SIS rumor propagation model by considering the effect of the communication between the different rumor infected users on rumor propagation. The stabilities of a nonrumor equilibrium point and a rumor-spreading equilibrium point are discussed by linearization technique and the upper an

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Ye, Na, Dingguo Yu, Yijie Zhou, Ke-ke Shang, and Suiyu Zhang. "Graph Convolutional-Based Deep Residual Modeling for Rumor Detection on Social Media." Mathematics 11, no. 15 (2023): 3393. http://dx.doi.org/10.3390/math11153393.

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The popularity and development of social media have made it more and more convenient to spread rumors, and it has become especially important to detect rumors in massive amounts of information. Most of the traditional rumor detection methods use the rumor content or propagation structure to mine rumor characteristics, ignoring the fusion characteristics of the content and structure and their interaction. Therefore, a novel rumor detection method based on heterogeneous convolutional networks is proposed. First, this paper constructs a heterogeneous map that combines both the rumor content and p

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Afam, Nwaokolo, Martin, Amos Kwaghfan Aondover, and Gweryina, Reuben Iortyer. "Modelling the Role of Super-Spreaders on the Dynamic of Rumor." International Journal of Science for Global Sustainability 10, no. 1 (2024): 246–54. http://dx.doi.org/10.57233/ijsgs.v10i1.625.

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In this study a variant of the model of Borge-Holthoefer et al (2012) on rumor dynamics is formulated, we investigated that two equilibria of the model exist namely: rumor-free equilibrium (RFE) and endemic (rumor) equilibrium. Using the next-generation matrix, we computed the rumor reproduction potential ( ). The local stability analysis of rumor-free equilibrium was done in terms of . Numerical simulation shows that rumors can spread if certain parameters are not reduced.

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Chen, Jing, Nana Wei, Chen Xin, Mingxin Liu, Zeren Yu, and Miaomiao Liu. "Anti-Rumor Dissemination Model Based on Heat Influence and Evolution Game." Mathematics 10, no. 21 (2022): 4064. http://dx.doi.org/10.3390/math10214064.

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Aiming at the problem that the existing rumor dissemination models only focus on the characteristics of rumor dissemination and ignore anti-rumor dissemination, an evolution game model, SDIR, based on heat influence is proposed in this paper. Firstly, in order to solve the problem that rumor and anti-rumor information of emergency events disseminate simultaneously in social networks, the model extracts the factors that affect information dissemination: user behavior characteristics, user closeness and heat influence of participating topics. Secondly, anti-rumor information and an evolutionary

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Chen, Jianhong, Chaoqun Chen, Qinghua Song, et al. "Spread Mechanism and Control Strategies of Rumor Propagation Model Considering Rumor Refutation and Information Feedback in Emergency Management." Symmetry 13, no. 9 (2021): 1694. http://dx.doi.org/10.3390/sym13091694.

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The rumor-free equilibrium state and rumor-endemic equilibrium state are two symmetric descriptions of the status of a system. The constant spreading of rumors would affect the smooth operation of emergency management procedures and cause unnecessary social and economic loss. To reduce the negative effect of rumor propagation, in this paper, we introduce a compartmental model of rumor propagation, which considers the rumor refutation of public and information feedback. By deriving mean-field equations that describe the dynamics of the model, we use analytical and numerical solutions of these e

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Rusmarlina, Verent Nindi Oktaviani, and Yusuf Fuad. "Analisis Kestabilan dan Penerapan Kontrol Optimal pada Model Penyebaran Rumor Melalui Liputan Media." MATHunesa: Jurnal Ilmiah Matematika 11, no. 1 (2023): 35–48. http://dx.doi.org/10.26740/mathunesa.v11n1.p35-48.

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Rumor merupakan informasi mengenai hal menarik bagi publik, permasalahan internasional, nasional,ekonomi, politik, budaya atau sosial terkait seorang tokoh masyarakat tetapi belum dapat dipastikankebenarannya. Pada era digital, rumor semakin mudah disebarkan tanpa waktu yang lama dan biaya yangbesar. Rumor yang tidak bisa dikendalikan akan merugikan beberapa pihak, mulai dari keresahanmasyarakat, sampai dampak yang fatal seperti kematian. Penelitian ini bertujuan untuk merekontruksimodel dinamik penyebaran rumor dengan penerapan kontrol optimal, menentukan titik kesetimbangan,menentukan bilang

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Wu, Hai, Xin Yan, Shengxiang Gao, Zhongying Deng, and Haiyang Chi. "Analysis and Control of Rumor Propagation Model Considering Multiple Waiting Phases." Mathematics 13, no. 2 (2025): 312. https://doi.org/10.3390/math13020312.

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Rumors pose serious harm to society and exhibit a certain degree of repetitiveness. Existing rumor propagation models often have simple rules and neglect the repetitiveness of rumors. Therefore, we propose a new SCWIR rumor propagation model (susceptible, commented, waited, infected, recovered) by introducing the user’s repeated waiting behavior to simulate the potential for rumors to lie dormant and spread opportunistically. First, we present the dynamic equations of the model, then introduce three influencing factors to improve the model. Next, by solving for the equilibrium points and the b

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Zhao, Laijun, Xiaoli Wang, Jiajia Wang, Xiaoyan Qiu, and Wanlin Xie. "Rumor-Propagation Model with Consideration of Refutation Mechanism in Homogeneous Social Networks." Discrete Dynamics in Nature and Society 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/659273.

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In recent years, increasing attention has been paid to how to effectively manage rumor propagation. Based on previous studies of rumor propagation and some strategies used by the authorities to refute rumors and manage rumor propagation, we develop a new rumor-propagation model with consideration of refutation mechanism. In this paper, we describe the dynamic process of rumor propagation by accounting for the refutation mechanism in homogeneous social networks. And then, we derive mean-field equations for rumor-propagation process. We then analyze the stability of the model with respect to cha

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Fu, Chunlong, Guofang Liu, Xiaofan Yang, Yang Qin, and Luxing Yang. "A Rumor-Spreading Model with Three Identical Time Delays." Mathematics 13, no. 9 (2025): 1421. https://doi.org/10.3390/math13091421.

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Understanding the effect of time delays on rumor spreading is of special importance to curbing the spread of rumors. This article proposes a rumor-spreading model with three identical time delays: a delay associated with the negative influence of a spreader on an exposed ignorant individual, a delay associated with the natural change from a spreader to a stifler, and a delay associated with the positive influence of a stifler on an exposed spreader. The basic reproduction number for the model is determined. A criterion for the existence of rumor-endemic equilibrium is provided. Interestingly,

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Chen, Danroujing, Xiaoliang Chen, Peng Lu, Xuyang Wang, and Xiang Lan. "CNFRD: A Few-Shot Rumor Detection Framework via Capsule Network for COVID-19." International Journal of Intelligent Systems 2023 (February 27, 2023): 1–21. http://dx.doi.org/10.1155/2023/2467539.

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In recent years, COVID-19 has become the hottest topic. Various issues, such as epidemic transmission routes and preventive measures, have “occupied” several online social media platforms. Many rumors about COVID-19 have also arisen, causing public anxiety and seriously affecting normal social order. Identifying a rumor at its very inception is crucial to reducing the potential harm of its evolution to society as a whole. However, epidemic rumors provide limited signal features in the early stage. In order to identify rumors with data sparsity, we propose a few-shot learning rumor detection mo

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Chen, Jianhong, Qinghua Song, and Zhiyong Zhou. "Agent-Based Simulation of Rumor Propagation on Social Network Based on Active Immune Mechanism." Journal of Systems Science and Information 5, no. 6 (2017): 571–84. http://dx.doi.org/10.21078/jssi-2017-571-14.

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AbstractTo simulate the rumor propagation process on online social network during emergency, a new rumor propagation model was built based on active immune mechanism. The rumor propagation mechanisms were analyzed and corresponding parameters were defined. BA scale free network and NW small world network that can be used for representing the online social network structure were constructed and their characteristics were compared. Agent-based simulations were conducted on both networks and results show that BA scale free network is more conductive to spreading rumors and it can facilitate the r

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Zhu, Linhe, Gui Guan, and Zhengdi Zhang. "Mathematical analysis of information propagation model in complex networks." International Journal of Modern Physics B 34, no. 26 (2020): 2050240. http://dx.doi.org/10.1142/s0217979220502409.

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In virtue of identifying the influence of nodes, the spatial distance of rumor propagation is defined with the partition and clustering in the network. Considering the temporal and spatial propagation characteristics of rumors in online social networks, we establish a delayed rumor propagation model based on the graph theory and partial functional differential equations. Firstly, the unique existence and uniform boundedness of the nonnegative solution are explored. Secondly, we discuss the existence of positive equilibrium points sufficiently. Thirdly, stabilities of the rumor-free and rumor-s

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He, Lingnan, Haoshen Yang, Xiling Xiong, and Kaisheng Lai. "Online Rumor Transmission Among Younger and Older Adults." SAGE Open 9, no. 3 (2019): 215824401987627. http://dx.doi.org/10.1177/2158244019876273.

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Social media not only leads to efficient dissemination of information but also facilitates the spread of rumors. However, it remains unknown whether and how WeChat use influences rumor transmission. Using a nationwide sample of Chinese adults ( N = 9,368), we applied a moderated mediation model to examine whether the relationship among WeChat use, rumor anxiety, and rumor transmission intention varies with age. Our findings show that frequent use of WeChat decreased young adults’ intention to transmit rumors by alleviating rumor anxiety, whereas in older adults, it increased this intention by

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Huo, Liang'an, Tingting Lin, and Peiqing Huang. "Dynamical Behavior of a Rumor Transmission Model with Psychological Effect in Emergency Event." Abstract and Applied Analysis 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/282394.

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A rumor transmission model with nonmonotonic incidence rate was proposed, which provides excellent explanations of the “psychological” effect with rumor spreading in emergency event. By carrying out a global analysis of the model and studying the stability of the rumor-free equilibrium and the rumor-endemic equilibrium, we showed that either the number of infective individuals tends to zero as time evolves or the rumor persists. Finally, recommendations for policy makers and consulting advice for related commissions are explored in the case study of crazy rumors propagated for the iodized sail

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Yao, Hongxing, and Xiangyang Gao. "SE2IR Invest Market Rumor Spreading Model Considering Hesitating Mechanism." Journal of Systems Science and Information 7, no. 1 (2019): 54–69. http://dx.doi.org/10.21078/jssi-2019-054-16.

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Abstract According to the actual situation of investor network, a SE2IR rumor spreading model with hesitating mechanism is proposed, and the corresponding mean-field equations is obtained on scale-free network. In this paper, we first combine the theory of spreading dynamics and find out the basic reproductive number R0. And then analyzes the stability of the rumor-free equilibrium and the final rumor size. Finally, we discuss random immune strategies and target immune strategies for the rumor spreading, respectively. Through numerical simulation, we can draw the following conclusions: Reducin

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Li, Chengcheng, Fengming Liu, and Pu Li. "Text Similarity Computation Model for Identifying Rumor Based on Bayesian Network in Microblog." International Arab Journal of Information Technology 17, no. 5 (2020): 731–41. http://dx.doi.org/10.34028/iajit/17/5/6.

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The research of text similarity, especially for rumor texts, which constructed the calculation model by known rumors and calculated its similarity. From which, people can recognize the rumor in advance, and improve their vigilance to effectively block and control rumors dissemination. Based on the Bayesian network, the similarity calculation model of microblog rumor texts was built. At the same time, taking into account not only the rumor texts have similar characters, but also the rumor producers have similar characters, and therefore the similarity calculation model of rumor texts makers was

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Khanifar, Hossein, Gholamreza Jandaghi, Hamed Bordbar, and Mahmoud Jangholi. "Clarifying ethical constituents of God-believing employees to mitigate the outcomes of rumors and organizational rumor management." International Journal of Human Resource Studies 2, no. 1 (2012): 100. http://dx.doi.org/10.5296/ijhrs.v2i1.1166.

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By declining human spiritual belongings, the lack of ethics is considered as a major calamity of modern age. Disrespecting ethical codes and constituents in organizations and societies has caused that some ethical abnormal to be highlighted and involve the mind of managers and relevant authorities. Human get away of God believing and ethics – orientation as well as the lack of a clear and precise definition of ethical prism in organizations have caused unethical rumor behavior. Rumor is an unethical behavior disseminated among people in order to be believed. It is disseminated from one person

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Liu, Qianqian, Gang Shi, and Yuhong Sheng. "An uncertain SEIR rumor model." Journal of Intelligent & Fuzzy Systems 41, no. 1 (2021): 399–412. http://dx.doi.org/10.3233/jifs-201865.

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In this paper, an uncertain SEIR rumor model driven by one uncertain process is formulated to investigate the influence of perturbation in the transmission of rumor. Firstly, the deduced process of the uncertain SEIR rumor model is presented. Then, we proposed the existence and uniqueness theorem for the solution of the model. Moreover, the study of the stability of the uncertain SEIR rumor model was carried out, and then we came to the conclusion that the model stable in mean. In addition, computer algorithm and numerical simulation is used to verify the accuracy of the theoretical results. T

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Huo, Liang'an, Peiqing Huang, and Chun-xiang Guo. "Analyzing the Dynamics of a Rumor Transmission Model with Incubation." Discrete Dynamics in Nature and Society 2012 (2012): 1–21. http://dx.doi.org/10.1155/2012/328151.

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This paper considers a rumor transmission model with incubation that incorporates constant recruitment and has infectious force in the latent period and infected period. By carrying out a global analysis of the model and studying the stability of the rumor-free equilibrium and the rumor-endemic equilibrium, we use the geometric approach for ordinary differential equations which is based on the use of higher-order generalization of Bendixson’s criterion. It shows that either the number of rumor infective individuals tends to zero as time evolves or the rumor persists. We prove that the transcri

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Zhao, Haifeng, Bin Lin, and Chongqing Guo. "A Mathematics Model for Quantitative Analysis of Demand Disruption Caused by Rumor Spreading." International Journal of Information Technology & Decision Making 13, no. 03 (2014): 585–602. http://dx.doi.org/10.1142/s0219622014500515.

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Rumors greatly impact consumers' attitudes and purchasing intention. Rumor spreading can disrupt supply chain demand, particularly in today's Internet age. We propose a mathematical model for the quantitative analysis of demand disruption caused by rumor spreading based on the susceptible-infective-isolated-immune (SI2I) rumor spreading model, which extends the susceptible-infective-recovered (SIR) rumor spreading model by dividing stiflers into isolators and immunes. Both groups represent individuals who do not propagate a rumor, but the former believes the rumor while the latter does not. Fr

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Sheng, Teng, Chunlong Fu, Xiaofan Yang, Yang Qin, and Luxing Yang. "Asymptotic Stability of a Rumor Spreading Model with Three Time Delays and Two Saturation Functions." Mathematics 13, no. 12 (2025): 2015. https://doi.org/10.3390/math13122015.

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Time delays and saturation effects are critical elements describing complex rumor spreading behaviors. In this article, a rumor spreading model with three time delays and two saturation functions is proposed. The basic properties of the model are reported. The structure of the rumor-endemic equilibria is deduced. A criterion for the global asymptotic stability of the rumor-free equilibrium is derived. In the presence of very small delays, a criterion for the local asymptotic stability of a rumor-endemic equilibrium is provided. The influence of the delays and the saturation effects on the dyna

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Yang, Feng, Yunyue Ren, Shusheng Wang, and Xiaoqian Zhang. "Health-Related Rumor Control through Social Collaboration Models: Lessons from Cases in China during the COVID-19 Pandemic." Healthcare 10, no. 8 (2022): 1475. http://dx.doi.org/10.3390/healthcare10081475.

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Widely spread health-related rumors may mislead the public, escalate social panic, compromise government credibility, and threaten public health. Social collaboration models that maximize the functions and advantages of various agents of socialization can be a promising way to control health-related rumors. Existing research on health-related rumors, however, is limited in studying how various agents collaborate with each other to debunk rumors. This study utilizes content analysis to code the text data of health-related rumor cases in China during the COVID-19 pandemic. The study found that s

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Chen, Jing, Nana Wei, and Hongbo Yang. "Immune Algorithm to Suppress Rumor Propagation Based on Influence Maximization." Security and Communication Networks 2022 (April 22, 2022): 1–13. http://dx.doi.org/10.1155/2022/6785828.

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In order to effectively reduce the spread range of rumor information, an immune method based on two-stage influence maximization to suppress rumor propagation is proposed. Firstly, User and Clustering Influence Maximizing (UCIM) algorithm is proposed to obtain the most influence node set at the current moment in the initial stage of event evolution based on the network topology and user characteristics. Secondly, the node set is identified and classified based on the RNN rumor detection model, and Immunosuppression Strategy considering the Average Path Weights and User-Clustering (IS-APWUC) st

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Choi, Jiho, Taewook Ko, Younhyuk Choi, Hyungho Byun, and Chong-kwon Kim. "Dynamic graph convolutional networks with attention mechanism for rumor detection on social media." PLOS ONE 16, no. 8 (2021): e0256039. http://dx.doi.org/10.1371/journal.pone.0256039.

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Social media has become an ideal platform for the propagation of rumors, fake news, and misinformation. Rumors on social media not only mislead online users but also affect the real world immensely. Thus, detecting the rumors and preventing their spread became an essential task. Some of the recent deep learning-based rumor detection methods, such as Bi-Directional Graph Convolutional Networks (Bi-GCN), represent rumor using the completed stage of the rumor diffusion and try to learn the structural information from it. However, these methods are limited to represent rumor propagation as a stati

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