Algorithms and Models for Network Data and Link Analysis
暫譯: 網路數據與連結分析的演算法與模型
François Fouss, Marco Saerens, Masashi Shimbo
- 出版商: Cambridge
- 出版日期: 2016-07-12
- 售價: $3,400
- 貴賓價: 9.8 折 $3,332
- 語言: 英文
- 頁數: 543
- 裝訂: Hardcover
- ISBN: 1107125774
- ISBN-13: 9781107125773
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相關分類:
Algorithms-data-structures
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商品描述
Network data are produced automatically by everyday interactions - social networks, power grids, and links between data sets are a few examples. Such data capture social and economic behavior in a form that can be analyzed using powerful computational tools. This book is a guide to both basic and advanced techniques and algorithms for extracting useful information from network data. The content is organized around 'tasks', grouping the algorithms needed to gather specific types of information and thus answer specific types of questions. Examples include similarity between nodes in a network, prestige or centrality of individual nodes, and dense regions or communities in a network. Algorithms are derived in detail and summarized in pseudo-code. The book is intended primarily for computer scientists, engineers, statisticians and physicists, but it is also accessible to network scientists based in the social sciences. Matlab/Octave code illustrating some of the algorithms will be available at: http://www.cambridge.org/9781107125773.
商品描述(中文翻譯)
網路數據是透過日常互動自動產生的——社交網路、電力網絡以及數據集之間的連結都是一些例子。這些數據以可分析的形式捕捉社會和經濟行為,並可使用強大的計算工具進行分析。本書是一本關於從網路數據中提取有用信息的基本和進階技術及算法的指南。內容圍繞「任務」進行組織,將收集特定類型信息所需的算法進行分組,以回答特定類型的問題。例子包括網路中節點之間的相似性、個別節點的聲望或中心性,以及網路中的密集區域或社群。算法將詳細推導並以偽代碼進行總結。本書主要針對計算機科學家、工程師、統計學家和物理學家,但社會科學領域的網路科學家也能輕鬆理解。本書中一些算法的 Matlab/Octave 代碼將可在以下網址獲得:http://www.cambridge.org/9781107125773。