A First Course in Network Science (Hardcover)
暫譯: 網路科學入門 (精裝版)

Filippo Menczer , Santo Fortunato , Clayton A. Davis

A First Course in Network Science (Hardcover)
  • 出版商: Cambridge
  • 出版日期: 2020-01-30
  • 售價: $1,460
  • 貴賓價: 9.8 折 $1,431
  • 語言: 英文
  • 頁數: 300
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1108471137
  • ISBN-13: 9781108471138
  • 相關分類: Python、程式語言、Web-crawler 網路爬蟲

    • 下單後立即進貨 (約5~7天)

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商品描述

Networks are everywhere: networks of friends, transportation networks and the Web. Neurons in our brains and proteins within our bodies form networks that determine our intelligence and survival. This modern, accessible textbook introduces the basics of network science for a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences. Students will develop important, practical skills and learn to write code for using networks in their areas of interest - even as they are just learning to program with Python. Extensive sets of tutorials and homework problems provide plenty of hands-on practice and longer programming tutorials online further enhance students' programming skills. This intuitive and direct approach makes the book ideal for a first course, aimed at a wide audience without a strong background in mathematics or computing but with a desire to learn the fundamentals and applications of network science.

商品描述(中文翻譯)

網路無處不在：朋友之間的網路、交通網路以及網際網路。我們大腦中的神經元和身體內的蛋白質形成的網路決定了我們的智力和生存能力。這本現代且易於理解的教科書介紹了網路科學的基本概念，適用於從管理到行銷、從生物學到工程學，以及從神經科學到社會科學的各種職業領域。學生將發展重要的實用技能，並學會撰寫程式碼以在他們感興趣的領域中使用網路——即使他們剛開始學習使用 Python 進行程式設計。大量的教學和作業問題提供了豐富的實作練習，而更長的線上程式設計教學進一步提升學生的程式設計技能。這種直觀且直接的方法使得本書非常適合作為第一門課程，面向沒有強大數學或計算背景但渴望學習網路科學基本原理和應用的廣泛讀者。

作者簡介

Filippo Menczer is Professor of Informatics and Computing at Indiana University, Bloomington. He is an ACM Distinguished Scientist and board member of the Indiana University Network Science Institute. He serves in editorial roles for several leading journals including Network Science, EPJ Data Science, and PeerJ: Computer Science. His research focuses on network science, computational social science, and Web science, with a focus on countering social media manipulation. His work on the spread of misinformation has received worldwide news coverage.

Santo Fortunato is Director of the Network Science Institute and Professor of Informatics at Indiana University, Bloomington. His current research is focused on network science, specifically network community detection, computational social science, and the 'science of science'. He received the German Physical Society's Young Scientist Award for Sociophysics and Econophysics in 2011 for his important contributions to the physics of social systems. He is Founding Chair of the International Conference on Computational Social Science (IC2S2).

Clayton A. Davis is an Informatics Ph.D. candidate at Indiana University, Bloomington and he holds B.S. and M.A. degrees in Mathematics. His research is concerned with the development of big-data platforms for social media analytics, machine learning algorithms for combating online abuse, design of crowdsourcing platforms, and the role of social media in social movements. His work on social bot detection was featured in major news outlets worldwide. His Web tools, including Botometer, Kinsey Reporter, and the Observatory on Social Media, answer millions of queries from thousands of users weekly. He won the 2017 Informatics Associate Instructor Award for his role in the development of high-quality teaching material for network science courses.

作者簡介(中文翻譯)

Filippo Menczer 是印第安納大學布盧明頓分校的資訊學與計算教授。他是ACM傑出科學家及印第安納大學網路科學研究所的董事會成員。他在多本領先期刊中擔任編輯角色，包括《Network Science》、《EPJ Data Science》和《PeerJ: Computer Science》。他的研究專注於網路科學、計算社會科學和網路科學，特別是針對社交媒體操控的對策。他在虛假資訊擴散方面的研究已獲得全球新聞媒體的報導。



Santo Fortunato 是網路科學研究所的主任及印第安納大學布盧明頓分校的資訊學教授。他目前的研究專注於網路科學，特別是網路社群檢測、計算社會科學和「科學的科學」。他於2011年因對社會系統物理學的重要貢獻而獲得德國物理學會的青年科學家獎，專注於社會物理學和經濟物理學。他是國際計算社會科學會議（IC2S2）的創始主席。



Clayton A. Davis 是印第安納大學布盧明頓分校的資訊學博士候選人，並擁有數學的學士和碩士學位。他的研究涉及社交媒體分析的大數據平台開發、用於打擊網路濫用的機器學習演算法、眾包平台的設計，以及社交媒體在社會運動中的角色。他在社交機器人檢測方面的工作曾在全球主要新聞媒體上報導。他的網路工具，包括Botometer、Kinsey Reporter和社交媒體觀測站，每週回答來自數千名用戶的數百萬個查詢。他因在網路科學課程中開發高品質教學材料的貢獻而獲得2017年資訊學助理講師獎。

目錄大綱

Preface; Introduction
1. Network elements
2. Small worlds
3. Hubs
4. Directions and weights
5. Network models
6. Communities
7. Dynamics; Appendix 

A. Python tutorial; Appendix 
B. NetLogo models; Bibliography
 

目錄大綱(中文翻譯)

Preface; Introduction

1. Network elements

2. Small worlds

3. Hubs

4. Directions and weights

5. Network models

6. Communities

7. Dynamics; Appendix 

A. Python tutorial; Appendix 

B. NetLogo models; Bibliography

 

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