دورية أكاديمية
Using Exponential Random Graph Models for Social Networks to Understand Meta-Communication in Digital Media
العنوان: | Using Exponential Random Graph Models for Social Networks to Understand Meta-Communication in Digital Media |
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المؤلفون: | Zhou Nie |
المصدر: | Social Sciences, Vol 12, Iss 4, p 236 (2023) |
بيانات النشر: | MDPI AG, 2023. |
سنة النشر: | 2023 |
المجموعة: | LCC:Social Sciences |
مصطلحات موضوعية: | exponential random graph models for social networks, meta-communication, digital media, social process, stochastic models, Social Sciences |
الوصف: | In recent years; digital media has garnered widespread interest from various domains. Despite advancements in the technology of digital media for globalized communication; disparities persist in user interaction patterns across different regions. These differences can be attributed to the presence of a control system, known as meta-communication, which shapes the coding of information based on social relationships. Meta-communication is formed in various social contexts, resulting in varying communication patterns among different groups. However, empirical research on the social processes that form meta-communication in digital media is scarce due to the challenges in quantifying meta-communication. This study aims to introduce exponential random graph models as a potential tool for analyzing meta-communication in digital media and to provide a preliminary understanding of its formation. The use of such models could prove valuable for researchers seeking to study meta-communication in digital media. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2076-0760 |
العلاقة: | https://www.mdpi.com/2076-0760/12/4/236Test; https://doaj.org/toc/2076-0760Test |
DOI: | 10.3390/socsci12040236 |
الوصول الحر: | https://doaj.org/article/06dd0819ac404ed594146adfead2bb7bTest |
رقم الانضمام: | edsdoj.06dd0819ac404ed594146adfead2bb7b |
قاعدة البيانات: | Directory of Open Access Journals |