Algorithms and Models for Network Data and Link Analysis

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$3,332
  • 語言: 英文
  • 頁數: 543
  • 裝訂: Hardcover
  • ISBN: 1107125774
  • ISBN-13: 9781107125773
  • 相關分類: Algorithms-data-structures
  • 立即出貨(限量) (庫存=1)

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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)

網絡數據是由日常互動自動產生的 - 社交網絡、電力網絡和數據集之間的連結是其中幾個例子。這些數據以一種可以使用強大的計算工具進行分析的形式捕捉社會和經濟行為。本書是一本關於從網絡數據中提取有用信息的基本和高級技術和算法的指南。內容圍繞“任務”組織,將需要收集特定類型信息並回答特定類型問題的算法分組。例如,網絡中節點之間的相似性,個別節點的聲望或中心性,以及網絡中的密集區域或社區。算法的推導詳細並以偽代碼總結。本書主要面向計算機科學家、工程師、統計學家和物理學家,但也適用於社會科學領域的網絡科學家。一些演示算法的Matlab/Octave代碼將在以下網址提供:http://www.cambridge.org/9781107125773。