کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7375778 | 1480074 | 2018 | 23 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Rumor diffusion in heterogeneous networks by considering the individuals' subjective judgment and diverse characteristics
ترجمه فارسی عنوان
پخش شایعه در شبکه های ناهمگن با توجه به قضاوت ذهنی افراد و ویژگی های متنوع
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کلمات کلیدی
انتشار شایعه، قضاوت ذهنی، تنوع ویژگی ها، آستانه گسترش شایعه،
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
فیزیک ریاضی
چکیده انگلیسی
In this study, we propose a novel rumor spreading model in consideration of the individuals' subjective judgment and diverse characteristics. To reflect the diversity of the individuals' characteristics, we introduce two probability distribution functions, which could be chosen arbitrarily or given by empirical data, to characterize individuals' mastering degree of knowledge with respect to the domain of a specific rumor and individuals' rationality degree. Different from existing models, no two persons in our model are identical, and each individual can judge the authenticity of the information, e.g., rumors, with his distinctive characteristics. In addition, by means of the mean-field method, we establish the expression of the dynamics of the rumor propagation in the complex heterogeneous networks and derive the rumor spreading threshold. Through the theoretical analysis, we find that the threshold is independent of the forms of the two introduced functions. Furthermore, we prove the stability of the rumor-free equilibrium set E0. That is if and only if R0<1, the rumor-free equilibrium set E0 is globally asymptotically stable. Finally, we conduct a series of numerical simulations to verify the theoretical results and comprehensively illustrate the evolution of the model. The simulation results show that because of the diversity of individuals' characteristics, it becomes more difficult for the rumor to disseminate in the networks and the higher the mean of knowledge and the mean of rationality are, the more time it will take for the model to evolve to the steady state.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 499, 1 June 2018, Pages 276-287
Journal: Physica A: Statistical Mechanics and its Applications - Volume 499, 1 June 2018, Pages 276-287
نویسندگان
Jing Ma, He Zhu,