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Feb 19, 2018
National Applied Research Laboratories Social Network Analysis, Digital Activism, Political Participation. GitHub View. Biodiversity AnalysisPython. Biodiversity data analysis and visualization. A project for the 2016 summer internship program at Institute of Information Science, Academia Sinica. . Welcome to Data Analysis in Python! Python is an increasingly popular tool for data analysis. In recent years, a number of libraries have reached maturity, allowing R and Stata users to take advantage of the beauty, flexibility, and performance of Python without sacrificing the functionality these older programs have accumulated over the …
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Feb 18, 2018
I want to study data mining problems of mutiplex network ,for example: search, recommendation, mining communities,evaluation,etc, hoping to find a basic software toolkit , such as networkx. . This research monograph provides the means to learn the theory and practice of graph and network analysis using the Python programming language. The social network analysis techniques, included, will help readers to efficiently analyze social data from Twitter, Facebook, LiveJournal, GitHub and
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Date
Feb 8, 2018
This tutorial explains how to extract network data (people, institutions, places, etc) from historical sources through the use of non-technical methods developed in Qualitative Data Analysis (QDA) and Social Network Analysis (SNA), and how to visualize this data with the platform-independent and particularly easy-to-use Palladio. . The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social …
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Date
Feb 21, 2018
The social network analysis techniques, included, will help readers to efficiently analyze social data from Twitter, Facebook, LiveJournal, GitHub and many others at three levels of depth: ego, group, and community. . Such tasks find applications in diverse areas including image processing, chemistry, and social network analysis, to name a few. Why Metrics? Intuitively, given two (unlabeled) graphs, their distance is a score quanitifying their structural differences.