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Complex Network Analysis in Python de Dmitry Zinoviev
Descripción - Reseña del editor Construct, analyze, and visualize networks with networkx, a Python language module. Network analysis is a powerful tool you can apply to a multitude of datasets and situations. Discover how to work with all kinds of networks, including social, product, temporal, spatial, and semantic networks. Convert almost any real-world data into a complex network--such as recommendations on co-using cosmetic products, muddy hedge fund connections, and online friendships. Analyze and visualize the network, and make business decisions based on your analysis. If you're a curious Python programmer, a data scientist, or a CNA specialist interested in mechanizing mundane tasks, you'll increase your productivity exponentially. Complex network analysis used to be done by hand or with non-programmable network analysis tools, but not anymore! You can now automate and program these tasks in Python. Complex networks are collections of connected items, words, concepts, or people. By exploring their structure and individual elements, we can learn about their meaning, evolution, and resilience. Starting with simple networks, convert real-life and synthetic network graphs into networkx data structures. Look at more sophisticated networks and learn more powerful machinery to handle centrality calculation, blockmodeling, and clique and community detection. Get familiar with presentation-quality network visualization tools, both programmable and interactive--such as Gephi, a CNA explorer. Adapt the patterns from the case studies to your problems. Explore big networks with NetworKit, a high-performance networkx substitute. Each part in the book gives you an overview of a class of networks, includes a practical study of networkx functions and techniques, and concludes with case studies from various fields, including social networking, anthropology, marketing, and sports analytics. Combine your CNA and Python programming skills to become a better network analyst, a more accomplished data scientist, and a more versatile programmer. What You Need: You will need a Python 3.x installation with the following additional modules: Pandas (>=0.18), NumPy (>=1.10), matplotlib (>=1.5), networkx (>=1.11), python-louvain (>=0.5), NetworKit (>=3.6), and generalizesimilarity. We recommend using the Anaconda distribution that comes with all these modules, except for python-louvain, NetworKit, and generalizedsimilarity, and works on all major modern operating systems. Biografía del autor Dmitry Zinoviev has graduate degrees in physics and computer science with a PhD from Stony Brook University. His research interests include computer simulation and modeling, network science, network analysis, and digital humanities. He has been teaching at Suffolk University in Boston, MA since 2001. He is the author of Data Science Essentials in Python.
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Complex network analysis in python data science central the pragmatic programmers just published my book complex network analysis in pythonrecognize construct visualize analyze interpret the book covers both elements of complex network analysis cna, including social network analysis, and the use of networkx for cnait covers not only social networks, but also product, semantic, event, interaction, and other types of networks Complex network analysis in python in zinoviev complex network analysis used to be done by hand or with nonprogrammable network analysis tools, but not anymore you can now automate and program these tasks in python complex networks are collections of connected items, words, concepts, or people Complexnetworkanalysisinpython_complexnetwork complexnetworkanalysisinpython python复杂网络分析 网络分析 network analysis 入门篇四 网络的演化随机图模型 10994 20180813 之前的内容我们了解的都是一个静态的网络比如在某一个时刻中网络节点之间的连接关系而这里我们要说的是一个动态的网络即网络的结构随着时间的变化而变化
Detalles del Libro
- Name: Complex Network Analysis in Python
- Autor: Dmitry Zinoviev
- Categoria: Libros,Ciencias, tecnología y medicina,Matemáticas
- Tamaño del archivo: 13 MB
- Tipos de archivo: PDF Document
- Idioma: Español
- Archivos de estado: AVAILABLE
Descargar Complex Network Analysis in Python de Dmitry Zinoviev Ebooks, PDF, ePub
Google libros libros haz búsquedas en el mayor catálogo de libros completos del mundo mi colección editores información privacidad términos ayuda Complex network analysis in python enter complex network analysis complex network analysis cna, which is the study of complex networks their structure, properties, and dynamicsis a relatively new discipline, but with a rich history you can think of cna as a generalization of social network analysis sna to include nonsocial networks Libros que deberías leer si quieres aprender python en la actualidad hay muchos recursos para aprender python en línea, pero también dispones de algunos libros convencionales para dominar este lenguaje
Complex network analysis in python book complex network analysis used to be done by hand or with nonprogrammable network analysis tools, but not anymore you can now automate and program these tasks in python complex networks are collections of connected items, words, concepts, or people Complexnetworks github topics github machine learning classifier for complex networks given a list of network features python analysis complexnetworks updated oct 28, 2019 python giuliorossetti demon star 16 code issues pull requests demon a localfirst discovery method for overlapping communities complexnetworks Openlibra python python es un lenguaje de programación divertido y extremadamente fácil de usar que en los últimos años se ha hecho muy popular desarrollado hace diez años por guido van rossum, su sintaxis simple y la sensación general se deriva en gran parte del abc, un lenguaje desarrollado en los 1980s para la enseñanza
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