Estimating Homophily in Social Networks Using Dyadic Predictions
<p dir="ltr">Predictions of node categories are commonly used to estimate homophily and other relational properties in networks. However, little is known about the validity of using predictions for this task. We show that estimating homophily in a network is a problem of predicting c...
محفوظ في:
| المؤلف الرئيسي: | George Berry (5807582) (author) |
|---|---|
| مؤلفون آخرون: | Antonio Sirianni (18475086) (author), Ingmar Weber (690827) (author), Jisun An (10230800) (author), Michael Macy (4039937) (author) |
| منشور في: |
2021
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges
حسب: Muhammad Usama (3629090)
منشور في: (2019) -
Network Threat Detection Using Machine/Deep Learning in SDN-Based Platforms: A Comprehensive Analysis of State-of-the-Art Solutions, Discussion, Challenges, and Future Research Direction
حسب: Naveed Ahmed (2433958)
منشور في: (2022) -
Developing an online hate classifier for multiple social media platforms
حسب: Joni Salminen (7434770)
منشور في: (2020) -
Cryptomining makes noise: Detecting cryptojacking via Machine Learning
حسب: Maurantonio Caprolu (16928412)
منشور في: (2021) -
Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using ML
حسب: Dharmendra Kumar Singh Singh (19517710)
منشور في: (2022)