- published: 17 Apr 2011
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Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive and semantic networks, and social networks, considering distinct elements or actors represented by nodes (or vertices) and the connections between the elements or actors as links (or edges). The field draws on theories and methods including graph theory from mathematics, statistical mechanics from physics, data mining and information visualization from computer science, inferential modeling from statistics, and social structure from sociology. The United States National Research Council defines network science as "the study of network representations of physical, biological, and social phenomena leading to predictive models of these phenomena."
The study of networks has emerged in diverse disciplines as a means of analyzing complex relational data. The earliest known paper in this field is the famous Seven Bridges of Königsberg written by Leonhard Euler in 1736. Euler's mathematical description of vertices and edges was the foundation of graph theory, a branch of mathematics that studies the properties of pairwise relations in a network structure. The field of graph theory continued to develop and found applications in chemistry (Sylvester, 1878).
The discovery of the scale-free structure of networks has led to a greater understanding of the spread of diseases, ideas, and behaviors like product adoption.
Introduction to network science. Complex networks. Examples. Main properties. Scale-free networks. Small world. Six degrees of separation. Milgram study. Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lectures/lecture1.pdf
Speakers: Professor Mark Newman, Anatol Rapoport Distinguished University Professor of Physics, University of Michigan Dr Bernie Hogan, Oxford Internet Institute, University of Oxford For over 15 years, Mark Newman has been at the forefront of network science. His contributions form much of the backbone of the field today, especially in the areas of clustering, community detection and large scale network analysis. Prof. Newman's Herculean "Networks: An Introduction" is an essential summary of the rapidly expanding field of network science and used across a wide array of disciplines from sociology to epidemiology. Please join us as Prof. Newman talks about his past contributions, the emergent interdisciplinary field of network science and some of the current key challenges in the analysi...
The conference More is Different is about complexity. "The 21st century," physicist Stephen Hawking has said, "will be the century of complexity." Likewise, the physicist Heinz Pagels has said that "the nations and people who master the new sciences of complexity will become the economic, cultural, and political superpowers of the 21st century." Complexity is a movement in the sciences that greatly influences thoughts about the dynamics of our world. Instead of looking at objects of study top-down in a reductionist manner as has been done for four centuries, complexity science seeks to look at its objects of study from the bottom up, seeing them as systems of interacting elements that form, change, and evolve over time. Complexity therefore is not so much a subject as a way of looking at...
How can growing businesses foster innovation and communication, especially when today's individual has the power of yesterday's CEO?
Albert-László Barabási Director, Center for Complex Network Research, Northeastern University "Network Science: From Structure to Control" Thursday, July 5, 2012, 11.00 am Biblioteca IMT Alti Studi Lucca Piazza San Ponziano INTRODUCTORY REMARKS Guido Caldarelli Professor in Theoretical Physics, IMT Institute for Advanced Studies Lucca CONCLUSIONS Fabio Pammolli Director, IMT Institute for Advanced Studies Lucca
If You're So Free, Why Do You Follow Others? The Sociological Science Behind Social Networks and Social Influence. Nicholas Christakis, Professor of Medical Sociology, Medicine, and Sociology at Harvard University If you think you're in complete control of your destiny or even your own actions, you're wrong. Every choice you make, every behavior you exhibit, and even every desire you have finds its roots in the social universe. Nicholas Christakis explains why individual actions are inextricably linked to sociological pressures; whether you're absorbing altruism performed by someone you'll never meet or deciding to jump off the Golden Gate Bridge, collective phenomena affect every aspect of your life. By the end of the lecture Christakis has revealed a startling new way to understand the...
Google Tech Talks January 31, 2007 ABSTRACT Want to see science from above? Curious to see what impact one single person or invention can have? Keen to find pockets of innovation? Desperate for better tools to manage the flood of information? Or are you simply fascinated by maps? This talk presents a visual feast of local and global, static and dynamic maps of science and a discussion of the data integration, analysis, modeling, and visualization techniques used to generate them. Relevant Links * Mapping Science exhibit http://scimaps.org * Network Workbench Cyberinfrastructure https://nwb.slis.indiana.edu/community/ * Börner, Katy, Sanyal, Soma and Vespignani, Alessandro. Network...
Read your free e-book: http://hotaudiobook.com/mebk/50/en/B00RKV6HAE/book Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a top faculty member of Northwestern Universitys prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics. Some books in this field focus either entirely on business issues (e.g., Google Analytics and Seo); others are strictly academic (covering topics such as sociology, complexity theory, ecology, applied physics, and economics). This text gives today's managers and students what they really need: integrated coverage of concepts, principles, and theory in the context of real-world applications. Bu...
Read your free e-book: http://hotaudiobook.com/mebk/50/en/B00DEX9ZZ6/book Network Science and Cybersecurity introduces new research and development efforts for cybersecurity solutions and applications taking place within various U.s. Government Departments of Defense, industry and academic laboratories. This book examines new algorithms and tools, technology platforms and reconfigurable technologies for cybersecurity systems. Anomaly-based intrusion detection systems (ids) are explored as a key component of any general network intrusion detection service, complementing signature-based Ids components by attempting to identify novel attacks. These attacks may not yet be known or have well-developed signatures. Methods are also suggested to simplify the construction of metrics in such a manne...
Read your free e-book: http://hotaudiobook.com/mebk/50/en/B00XANZZ4A/book Now , a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of real-world applications. Building on Miller's pioneering program, Marketing Data Science thoroughly addresses segmentation, target marketing, brand and product positioning, new product development, choice modeling, recommender systems, pricing research, retail site selection, demand estimation, sales forecasting, customer retention, and lifetime value analysis. Starting where Miller's widel...
Read your free e-book: http://hotaudiobook.com/mebk/50/en/B00XKX11W0/book While there are sporadic journal articles on socio-technical networks, theres long been a need for an integrated resource that addresses concrete socio-technical network (stn) design issues from algorithmic and engineering perspectives. Filling this need, Socio-technical Networks: Science and Engineering Design provides a complete introduction to the fundamentals of one of the hottest research areas across the social sciences, networking, and computer scienceincluding its definition, historical background, and models.covering basic Stn architecture from a physical/technological perspective, the book considers the system design process in a typical Stn, including inputs, processes/actions, and outputs/products. It cov...
Read your free e-book: http://hotaudiobook.com/mebk/50/en/B005PS70BE/book A comprehensive look at the emerging science of networks Network science helps you design faster, more resilient communication networks; revise infrastructure systems such as electrical power grids, telecommunications networks, and airline routes; model market dynamics; understand synchronization in biological systems; and analyze social interactions among people. This is the first book to take a comprehensive look at this emerging science. It examines the various kinds of networks (regular, random, small-world, influence, scale-free, and social) and applies network processes and behaviors to emergence, epidemics, synchrony, and risk. The book's uniqueness lies in its integration of concepts across computer science, ...
Wessex Academic Health Science Network video showcasing FortisNet - an interdisciplinary hub of expertise in regenerative medicine, orthopaedics, prosthetics and assistive technologies.
Meet Esben, a young researcher, who has attended the Young Investigator Network programme.
Meet Yumiko, a young researcher, who has attended the Young Investigator Network programme.
Tutorial materials available at https://github.com/ericmjl/Network-Analysis-Made-Simple Graph analytics are an exciting new frontier in data science, and this tutorial will help you get up to speed on the basics. In this tutorial, I will show you how you can use data to model data as a network, and use graph analysis methods to gain a rich understanding of that data. By the end of the tutorial, you will be equipped to think through network problems, and have enough familiarity with the networkx API to hack at them on your own. You will also a broad exposure to different examples where network properties (statistics & structures) can be useful for gaining insights into different data problems.
Institute for Mathematics and its Applications (IMA) Public Lecture Series Network Science: From the Web to Human Diseases 7:00pm, April 28, 2009, Willey Hall 125 Albert-László Barabási (Department of Physics, Northeastern University) Systems as diverse as the world wide web, Internet or the cell are described by highly interconnected networks with amazingly complex structure. Recent studies indicate that the evolution of these complex networks is governed by simple but generic laws, resulting in apparently universal architectural features. I will discuss this amazing order characterizing our interconnected world, and its implications to how we perceive the impact on communications and medicine.
This is part 1 of 2 of the GIN Development Series audio by Peter Ragnar. Peter talks on the science of luck. What is luck? and How you can be lucky? What is the science of luck? Kindly Like, Subscribe & Share! ****** This is really worth it. Be sure to check it out! 9 Reasons to Use Coconut Oil! - http://bit.ly/9coconutoil ********
Albert-Laszlo Barabasi Albert-László Barabási