Computing and building around tie strength in social media
Relationships make social media social. But, not all relationships are created equal. We have colleagues with whom we correspond intensely, but not deeply; we have childhood friends we consider close, even if we fell out of touch. Social media, however, treats everybody the same: someone is either a...
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| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Hanover, Massachusetts
Now Publishers
2014
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| Series: | Foundations and trends in human-computer interaction
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| Subjects: | |
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Table of Contents:
- 1. Introduction 1.1 What is tie strength?--1.2 Scope
- 1.3 Existing approaches-- 1.4 Scenarios-- 1.5 Contributions-- 2. Literature review-- 2.1 Tie strength-- 2.2 Socially-rendered social media-- 3. Computing tie strength-- 3.1 Research questions-- 3.2 What does one number mean?-- 3.3 Method
- 3.4 Participants-- 3.5 Predictive variables-- 3.6 Dependent variables-- 3.7 Statistical methods-- 3.8 Results-- 3.9 When the model breaks down: high residuals-- 3.10 Asymmetric friendships-- 3.11 Confounding the medium-- 3.12 Discussion-- 3.13 Conclusion-- 4. Building around tie strength-- 4.1 Research questions-- 4.2 The collapsed context problem-- 4.3 Social media or temporal media?-- 4.4 Twitter and tie strength-- 4.5 We Meddle-- 4.6 We Meddle lists-- 4.7 We Meddle's client-- 4.8 Deployment-- 4.9 Does it generalize?-- 4.10 How users experienced We Meddle-- 5. Next steps & conclusions-- 5.1 Models and predictors of tie strength-- 5.2 Rendering social media socially-- 5.3 Conclusions