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Postmortem Analysis of Decayed Online Social Communities: Cascade Pattern Analysis and Prediction
المؤلف
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-17، 17ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-10-09
دولة النشر
مصر
عدد الصفحات
17
التخصصات الرئيسية
الملخص EN
Recently, many online social networks, such as MySpace, Orkut, and Friendster, have faced inactivity decay of their members, which contributed to the collapse of these networks.
The reasons, mechanics, and prevention mechanisms of such inactivity decay are not fully understood.
In this work, we analyze decayed and alive subwebsites from the Stack Exchange platform.
The analysis mainly focuses on the inactivity cascades that occur among the members of these communities.
We provide measures to understand the decay process and statistical analysis to extract the patterns that accompany the inactivity decay.
Additionally, we predict cascade size and cascade virality using machine learning.
The results of this work include a statistically significant difference of the decay patterns between the decayed and the alive subwebsites.
These patterns are mainly cascade size, cascade virality, cascade duration, and cascade similarity.
Additionally, the contributed prediction framework showed satisfactorily prediction results compared to a baseline predictor.
Supported by empirical evidence, the main findings of this work are (1) there are significantly different decay patterns in the alive and the decayed subwebsites of the Stack Exchange; (2) the cascade’s node degrees contribute more to the decay process than the cascade’s virality, which indicates that the expert members of the Stack Exchange subwebsites were mainly responsible for the activity or inactivity of the Stack Exchange subwebsites; (3) the Statistics subwebsite is going through decay dynamics that may lead to it becoming fully-decayed; (4) the decay process is not governed by only one network measure, it is better described using multiple measures; (5) decayed subwebsites were originally less resilient to inactivity decay, unlike the alive subwebsites; and (6) network’s structure in the early stages of its evolution dictates the activity/inactivity characteristics of the network.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Abufouda, Mohammed. 2018. Postmortem Analysis of Decayed Online Social Communities: Cascade Pattern Analysis and Prediction. Complexity،Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1133844
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Abufouda, Mohammed. Postmortem Analysis of Decayed Online Social Communities: Cascade Pattern Analysis and Prediction. Complexity No. 2018 (2018), pp.1-17.
https://search.emarefa.net/detail/BIM-1133844
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Abufouda, Mohammed. Postmortem Analysis of Decayed Online Social Communities: Cascade Pattern Analysis and Prediction. Complexity. 2018. Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1133844
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1133844
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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