Barabási Lab-Complex Networks-Class 1: Introductio

文件名称: Barabási Lab-Complex Networks-Class 1: Introduction

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详细说明：Barabási Lab 不用介绍了，网络科学、复杂网络研究大牛 Complex Networks- 配套讲义第一讲 Class 1: IntroductionA SIMPLE STORY(1) The fate of Saddam and network science Sulan ibrahIm Khalil ibrahim Musset Musslit SADDAM HUSAYN AL-TIKRITI Mohammad khudayr president Basim latif Rudman ibrahim Muss it Nasir Yasin Mohammad Ibrahim Kharallah Talfah Muss it Muss it Muss it Farls yasin Musset sabha talfah Barzan ibrahim Musslit Saddam husser Ibrahim Hasan Uday Hussein Maild Khatab Ma Network science: Introduction Qusay Hussein Abld HamId A SIMPLE STORY(1) The fate of Saddam and network science The capture of saddam Hussein shows the strong predictive power of networks underlies the need to obtain accurate maps of the networks we aim to study and the often heroic difficulties we encounter during the mapping process demonstrates the remarkable stability of these networks: the capture of Hussein was not based on fresh intelligence, but rather on his pre- invasion social links, unearthed from old photos stacked in his family album shows that the choice of network we focus on makes a huge difference: the hierarchical tree, that captured the official organization of the iraqi government was of no use when it came to saddam hussein 's whereabouts Network Science: Introduction Section 3 VULNERABILITY DUE TO INTERCONNECTIVITY VULNERABILITY DUE TO INTERCONNECTIVITY Network science: Introduction A SIMPLE STORY(2): August 15, 2003 blackout Montreal ottawa s. Toronto Albany Detroit Bost。 Cleveland Long island Columbus August 14, 2003: 9: 29pm EDT August 15, 2003: 9: 14pm EDT 20 hours before 7 hours after Network Science: Introduction A SIMPLE STORY(2): August 15, 2003 blackout An important theme of this class we must understand how network structure affects the robustness of a complex system develop quantitative tools to assess the interplay between network structure and the dynamical processes on the networks, and their impact on allures >We will learn that failures reality failures follow reproducible laws that can be quantified and even predicted using the tools of network science Network Science: Introduction Section 4 NETWORKS AT THE HEART OF COMPLEX SYSTEMS NETWORKS AT THE HEART OF COMPLEX SYSTEMS Network science: Introduction aI think the next centur will be the- centurv complexity. Stephen Hawking January 23, 2000 Network Science: Introduction COMPLEX SYSTEMS Complex Complexity, a scientific theory which asserts that some systems display behavioral phenomena that are completely inexplicable by any conventional analysis [adj., V kuh m-pleks, kom-plekS; n. kom-pleks of the systems' constituent parts. These -adjective phenomena, commonly referred to as emergent behaviour, seem to occur in composed of many interconnected parts many complex systems involving living compound; composite: a complex highway organisms, such as a stock market or the system human brain 2 characterized by a very complicated or Source: John L, Casti, Encyclopaedia Britannica involved arrangement of parts, units, etc complex machinery 3 so complicated or intricate as to be hard to understand or deal with a complex problem Complexity Source: Dictionary. com Network science: Introduction

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