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[2309.15968] Dynamics of Ideological Biases of Social Media Users

Users entering the platform attempt to find a sufficiently large group whose members hold political biases within the range sufficiently close to their own. If successful, they stabilize their biases and become permanent members of the group. Otherwise, they leave the platform. We believe that the dynamics of users' behavior uncovered in this article cr...

arxiv.org

[2507.17177v1] Dynamics of temporal influence in polarised networks

View PDFHTML (experimental)Abstract:In social networks, it is often of interest to identify the most influential users who can successfully spread information to others. This is particularly important for marketing (e.g., targeting influencers for a marketing campaign) and to understand the dynamics of information diffusion (e.g., who is the most central u...

arxiv.org

[2604.23725] Uncertainty-Aware Fuzzy Centrality Measures for Influential Node Identification: A Structural Modeling Approach Toward E-Commerce Applications

View PDFAbstract:In recent years, e-commerce platforms have become one of the most prominent examples of large-scale interaction networks, where understanding influence dynamics among users, products, and digital entities is essential for applications such as online marketing, recommendation systems, and customer behavior analysis. A ke...

arxiv.org

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365: 如何在Azure AD中创建用户并添加到Dynamics Online中 azure active directory environments-CSDN博客

我这里主要讲的是Dynamics 365 Online如何来添加用户。对于on-premise版本和online版本最大的区别就在于Online版本是在Azure Active Directory中添加,而OP版本是在你自己的AD中添加。 密码那个地方你可以填写你自己创建的,也可以使用系统自动生成的4. 用户在Azure AD中就创建完成了 Users - Active users - 选择我们刚刚在Azure AD中...

CSDN博客频道

[2601.07796v1] Learning Through Dialogue: Unpacking the Dynamics of Human-LLM Conversations on Political Issues

View PDFAbstract:Large language models (LLMs) are increasingly used as conversational partners for learning, yet the interactional dynamics supporting users' learning and engagement are understudied. We analyze the linguistic and interactional features from both LLM and participant chats across 397 human-LLM conversations about socio-po...

arxiv.org

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Robust Optimal Experimental Design Accounting for Sensor Failure

[7]G. Bunting, N. K. Crane, D. M. Day, C. R. Dohrmann, B. A. Ferri, R. C. Flicek, S. Hardesty, P. Lindsay, S. T. Miller, L. Munday,et al.(2018)Sierra Structural Dynamics-Users notes 4.50..Technical reportSandia National Lab.(SNL-NM), Albuquerque, NM (United States).External Links: DocumentCited by: . [8]V. V. Fedorov(1972)Theory of optimal ex...

arxiv.org

RetrieveAllChildUsersSystemUser Function (Microsoft.Dynamics.CRM) | Microsoft Learn

FeedbackRetrieves the collection of users that report to the specified system user (user). This function is composable. You can append OData system query$selectoption to the URI to control the properties returned. Bound entities Bound functions are invoked by appending the fully qualified function name to the URI representing an entity or collectio...

learn.microsoft.com

The operation could not be completed. (Microsoft.Dynamics.BusinessConnectorNet) CSDN博客

发表时间：2015年5月27日
在路径 USA/System administration/Common/Users/Users 中,双击打开自己的账..._the operation could not be completed.additional information:1 connectionstri The operation could not be completed. (Microsoft.Dynamics.BusinessConnectorNet) 版权当我运行SSIS 包在visual Studio 2012,这个异常出现了。 一开始我就想,这肯定是链接的问题。所...
CSDN博客频道

Synchronized users in Microsoft Dynamics CRM Online and Office 365 | Microsoft Learn

A user who is not licensed to use Microsoft Dynamics CRM Online but who exists in, and is synchronized with, Office 365. For more information, see Data synchronization with Microsoft Office 365. This user appears as a regular user to other users of Microsoft Dynamics CRM Online, and can own and share records and is similar to a disabled user....
learn.microsoft.com

[2505.16303] INFERENCEDYNAMICS: Efficient Routing Across LLMs through Structured Capability and Knowledge Profiling

showcasing its ability to identify and leverage top-performing models for given tasks, leading to superior outcomes with efficient resource utilization. The broader adoption of Inference Dynamics can empower users to harness the full specialized potential of the LLM ecosystem, and our code will be made publicly available to encourage further resear...

arxiv.org
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