Online Social Networks: Human Cognitive Constraints in Facebook and Twitter Personal Graphs（Paperback）
暫譯: 線上社交網絡：Facebook 和 Twitter 個人圖譜中的人類認知限制（平裝本）
Valerio Arnaboldi, Andrea Passarella, Marco Conti, Robin I.M. Dunbar
- 出版商: Elsevier Science
- 出版日期: 2015-09-29
- 售價: $1,710
- 貴賓價: 9.5 折 $1,625
- 語言: 英文
- 頁數: 116
- 裝訂: Paperback
- ISBN: 0128030232
- ISBN-13: 9780128030233
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商品描述
Online Social Networks: Human Cognitive Constraints in Facebook and Twitter provides new insights into the structural properties of personal online social networks and the mechanisms underpinning human online social behavior.
As the availability of digital communication data generated by social media is revolutionizing the field of social networks analysis, the text discusses the use of large- scale datasets to study the structural properties of online ego networks, to compare them with the properties of general human social networks, and to highlight additional properties.
Users will find the data collected and conclusions drawn useful during design or research service initiatives that involve online and mobile social network environments.
- Provides an analysis of the structural properties of ego networks in online social networks
- Presents quantitative evidence of the Dunbar’s number in online environments
- Discusses original structural and dynamic properties of human social network through OSN analysis
商品描述(中文翻譯)
《線上社交網絡：Facebook 和 Twitter 中的人類認知限制》提供了對個人線上社交網絡結構特性的全新見解，以及支撐人類線上社交行為的機制。
隨著社交媒體生成的數位通信數據的可用性正在徹底改變社交網絡分析領域，本文討論了使用大規模數據集來研究線上自我網絡的結構特性，將其與一般人類社交網絡的特性進行比較，並突顯出額外的特性。
用戶會發現所收集的數據和得出的結論在設計或研究涉及線上和移動社交網絡環境的服務倡議時非常有用。
- 提供對線上社交網絡中自我網絡結構特性的分析
- 提供線上環境中 Dunbar 數量的定量證據
- 通過 OSN 分析討論人類社交網絡的原始結構和動態特性
