InfraNodus.Com — Text Network Visualization and Discourse Analysis

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Top keywords (global influence):

Top topics (local contexts):

Explore the main topics and terms outlined above or see them in the excerpts from this text below.

See the relevant data in context: click here to show the excerpts from this text that contain these topics below.

Tip: use the form below to save the most relevant keywords for this search query. Or start writing your content and see how it relates to the existing search queries and results.

Tip: here are the keyword queries that people search for but don't actually find in the search results.

Data science - Wikipedia Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and ... https://en.wikipedia.org/wiki/Data_science

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What is Data Science? Data science continues to evolve as one of the most promising and in-demand career paths for skilled professionals. Today, successful data professionals ... https://datascience.berkeley.edu/about/what-is-data-science/

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Here's why so many data scientists are leaving their jobs Mar 28, 2018 ... My take on why data scientists and machine learning engineers topped the list of developers looking for new jobs. It highlights the less ... https://towardsdatascience.com/why-so-many-data-scientists-are-leaving-their-jobs-a1f0329d7ea4

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Data Science: Online Courses from Harvard, MIT, Microsoft | edX Learn data science online today. Advance your career as a data scientist with free courses from the world's top institutions. Join now. https://www.edx.org/course/subject/data-science

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Data Science | Coursera Learn Data Science from Johns Hopkins University. Ask the right questions, manipulate data sets, and create visualizations to communicate results. https://www.coursera.org/specializations/jhu-data-science

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Data Science | Codecademy Become a Data Scientist. Data Science is one of the fastest growing fields in tech. Get this dream job by mastering the skills you need to analyze data with SQL ... https://www.codecademy.com/learn/paths/data-science

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Oracle Buys DataScience.com May 16, 2018 ... Oracle announced that it signed an agreement to acquire DataScience.com, adding a leading data science platform to the Oracle Cloud, ... https://www.oracle.com/corporate/acquisitions/datascience/

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What Is Data Science? A Beginner's Guide To Data Science | Edureka Jun 20, 2019 ... Data Science is the future of Artificial Intelligence. Learn what is Data Science, how can it add value to your business and its various lifecycle ... https://www.edureka.co/blog/what-is-data-science/

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What REALLY is Data Science? Told by a Data Scientist - YouTube Jun 22, 2018 ... Want to land jobs at Facebook/Google/Microsoft/Amazon? Learn how to do that here: http://techinterviewpro.com/ ▻ Resume Template and ... https://www.youtube.com/watch?v=xC-c7E5PK0Y

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What Is Data Science, and What Does a Data Scientist Do ... This article describes the "pillars" of data science expertise, the role and responsibilities of a data scientist, differences between related roles, and the data ... https://www.innoarchitech.com/blog/what-is-data-science-does-data-scientist-do

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Data Science Online Courses | Udacity Build expertise in data manipulation, visualization, predictive analytics, machine learning, and data science. With the skills you learn in a Nanodegree program, ... https://www.udacity.com/school-of-data-science

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How to Become a Data Scientist Data scientists are big data wranglers, gathering and analyzing large sets of structured and unstructured data. A data scientist's role combines computer science, ... https://www.mastersindatascience.org/careers/data-scientist/

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Insight Data Science Fellows Program An intensive 7-week post-doctoral training fellowship bridging the gap between academia & data science. Join top companies working on data science. https://www.insightdatascience.com/

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Data Scientist: The Sexiest Job of the 21st Century Meet the people who can coax treasure out of messy, unstructured data. https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century

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Data Science Online Bootcamp | Become a Data Scientist | Thinkful™ Built to land you a job as a data scientist or your money back. Work 1-on-1 with a mentor to learn best practices, stats, and big data in Thinkful's data science ... https://www.thinkful.com/bootcamp/data-science/full-time/

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Data Science Central Welcome to Data Science Central. The Community of and for Data Scientist. https://www.datasciencecentral.com/

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What is Data Science? | Thinkful But what is it? Data science, in its most basic terms, can be defined as obtaining insights and information, really anything of value, out of data. Like any new field, ... https://www.thinkful.com/blog/what-is-data-science/

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Data Science Bootcamp: The Best Online Training Classes & School Looking for a data science bootcamp? Try Springboard! Get 1:1 mentoring & complete 14 projects to help build your portfolio. ✓ Get a job or your money back! https://www.springboard.com/workshops/data-science-career-track/

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New York Data Science Bootcamp | Flatiron School At Flatiron School, we teach today's in-demand tech skills, through our dynamic, immersive courses taught by experienced, passionate industry professionals ... https://flatironschool.com/career-courses/data-science-bootcamp/

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Data scientist Jobs | Glassdoor Search Data scientist jobs. Get the right Data scientist job with company ratings & salaries. 31893 open jobs for Data scientist. https://www.glassdoor.com/Job/data-scientist-jobs-SRCH_KO0,14.htm

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data-science - Hacker Noon October 21. A Pleasant Way to Kick Off Your Data Science Education- This is CS50 ... Data Science Training and Data Science - Machine Learning With Python. https://hackernoon.com/tagged/data-science

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Data Science Stack Exchange Imputation missing values other than using Mean, Median in python · feature- engineering missing-data data-imputation · 2 hours ago IamTheRealFord. 0. 1 ... https://datascience.stackexchange.com/

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Data Science Bootcamp Houston - Become a Data Scientist ... Launch a career in data science with General Assembly's Data Science Immersive program - a world-class career accelerator in Houston. Get started in minutes! https://generalassemb.ly/education/data-science-immersive/houston

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Data Science Online Courses | LinkedIn Learning, formerly Lynda.com Data science is one of todays top careers. Get the training you need to get ahead —or stay on top—in fields such as data analysis, mining, visualization, and big ... https://www.linkedin.com/learning/topics/data-science

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University of Wisconsin Data Science Degree Online Find your future in big data. Earn your data science degree in the online University of Wisconsin Master of Science in Data Science program. https://datasciencedegree.wisconsin.edu/

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Data Science Weekly Data Science Weekly Newsletter: A free weekly newsletter featuring curated news, articles and jobs related to Data Science. https://www.datascienceweekly.org/

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NYU Center for Data Science – Harnessing Data's Potential for the ... Apply for the MS Data Science degree! Deadline: January 22 ... CDS' Yann LeCun wins ACM Turing award, the Nobel of Computer Science. Read more about ... https://cds.nyu.edu/

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Data Science Bootcamp | Online & On-Campus | Galvanize Become a Data Scientist in Galvanize's 13-week Data Science Immersive Bootcamp. Our coding bootcamps are offered in Austin, Denver, Boulder, Seattle, NYC ... https://www.galvanize.com/data-science-bootcamp

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Data science (for skill-building & earning to give) - Career review Jun 13, 2015 ... Cultures of learning and mentorship, often reasonable hours and flexible hours. • High starting salaries; graduates of data science bootcamp ... https://80000hours.org/career-reviews/data-science/

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Data Science | UCLA Continuing Education Gain hands-on experience in data management and visualization, machine learning, statistical models, and more for a career in data science. https://www.uclaextension.edu/digital-technology/data-analytics-management/certificate/data-science

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What is a data scientist? | SAS Data scientists are a new breed of analytical data expert who have the technical skills to solve complex problems – and the curiosity to explore what problems ... https://www.sas.com/en_us/insights/analytics/what-is-a-data-scientist.html

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GPU-Accelerated Workflows for Data Science | NVIDIA Unblock machine learning, analytics, and data discovery for faster, better results with GPU-accelerated data science. https://www.nvidia.com/en-us/deep-learning-ai/solutions/data-science/

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Data Science - Facebook Research Data scientists at Facebook conduct large-scale, global, quantitative research to gain deeper insights into how people interact with each other and the world ... https://research.fb.com/category/data-science/

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Human Data Science - IQVIA To solve the biggest challenges in human health, and realize the potential of big data in healthcare, we need more than data science. We need human data ... https://www.iqvia.com/insights/human-data-science

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R for Data Science This book will teach you how to do data science with R: You'll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and ... https://r4ds.had.co.nz/

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What is data science? – O'Reilly Jun 2, 2010 ... Why do we suddenly care about statistics and about data? In this post, I examine the many sides of data science — the technologies, the ... https://www.oreilly.com/radar/what-is-data-science/

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The Data Science Venn Diagram — Drew Conway Sep 30, 2010 ... One of the best sessions I attended focused on issues related to teaching data science, which inevitably led to a discussion on the skills ... http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram

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Data Science Definition Aug 17, 2017 ... The definition of Data Science defined and explained in simple language. https://techterms.com/definition/data_science

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The Data Science Bowl: Home The 2019 Data Science Bowl ® is now live! It's time to take on your biggest challenge yet: illuminating pathways to childhood learning. Analyzing data* from PBS ... https://datasciencebowl.com/

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Project Notes Text Settings

total nodes: extend
merged nodes:
unmerge all
copy to global

Word Count	Unique Lemmas	Characters	Lemmas Density
0	0	0	0

Show Nodes with Degree > 0:

0 0

Filter Graphs:

Filter Time Range

from: 0
to: 0

update metrics live

Recalculate Metrics Reset Filters

Hide Labels for Nodes < 0:

0 0

Default Label Size: 0

0 20

labels size = nodes size
labels color = nodes color

Edges Type:

Layout Type:

Reset to Default

Network Structure Insights

diversity:

N/A

stucture:

N/A

The higher is the diversity, the more distinct communities (topics) there are in this network, the more likely it will be pluralist.

The network structure indicates the level of its diversity. It is based on the modularity measure (>0.4 for medium, >0.65 for high modularity, measured with Louvain (Blondel et al 2008) community detection algorithm) in combination with the measure of influence distribution (the entropy of the top nodes' distribution among the top clusters), as well as the the percentage of nodes in the top community.

Modularity	0	Influence Distribution	0 %

Topics	Nodes in Top Topic	Components	Nodes in Top Comp
0	0 %	0	0 %
Nodes	Av Degree	Density	Weighed Betweenness
0	0	0	0

Degree Distribution:

distribution (based on kolmogorov-smirnov test)

narrative fractality: | alpha exponent: (based on Detrended Fluctuation Analysis of influence)

Using this information, you can identify whether the network has scale-free / small-world (long-tail power law distribution) or random (normal, bell-shaped distribution) network properties.

This may be important for understanding the level of resilience and the dynamics of propagation in this network. E.g. scale-free networks with long degree tails are more resilient against random attacks and will propagate information across the whole structure better.

If a power-law is identified, the nodes have preferential attachment (e.g. 20% of nodes tend to get 80% of connections), and the network may be scale-free, which may indicate that it's more resilient and adaptive. Absence of power law may indicate a more equalized distribution of influence.

Kolmogorov-Smirnov test compares the distribution above to the "ideal" power-law ones (^1, ^1.5, ^2) and looks for the best fit. If the value d is below the critical value cr it is a sign that the both distributions are similar.

We plot the narrative as a time series of influence (using the words' betweenness score). We then apply detrended fluctuation analysis to identify the fractality of this time series (using alpha exponent, closely related to Hurst exponent): uniform (pulsating | alpha <= 0.65), regular (stationary, has long-term correlations | 0.65 < alpha <= 0.85), fractal (adaptive | 0.85 < alpha < 1.15), and complex (non-stationary | alpha >= 1.15).

For maximal diversity and plurality, the narrative should be close to "fractal". For poetry — "complex". For ideological texts — "uniform".

Main Topical Groups:

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The topics are the nodes (words) that tend to co-occur together in the same context (next to each other).

We use a combination of clustering and graph community detection algorithm (Blondel et al based on Louvain) to identify the groups of nodes are more densely connected together than with the rest of the network. They are aligned closer to each other on the graph and are given a distinct color.

Most Influential Elements:

N/A

We use the Jenks elbow cutoff algorithm to select the top prominent nodes that have significantly higher influence than the rest.

Click the Reveal Non-obvious button to remove the most influential words (or the ones you select) from the graph, to see what terms are hiding behind them.

The most influential nodes are either the ones with the highest betweenness centrality — appearing most often on the shortest path between any two randomly chosen nodes (i.e. linking the different distinct communities) — or the ones with the highest degree.

Network Structure:

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Reset Graph Export: Show Options

Action Advice:

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Structural Gap

(ask a research question that would link these two topics):

N/A

A structural gap shows the two distinct communities (clusters of words) in this graph that are important, but not yet connected. That's where the new potential and innovative ideas may reside.

This measure is based on a combination of the graph's connectivity and community structure, selecting the groups of nodes that would either make the graph more connected if it's too dispersed or that would help maintain diversity if it's too connected.

Latent Topical Brokers

N/A

These are the latent brokers between the topics: the nodes that have an unusually high rate of influence (betweenness centrality) to their freqency — meaning they may appear not as often as the most influential nodes but they are important narrative shifting points.

These are usually brokers between different clusters / communities of nodes, playing not easily noticed and yet important role in this network, like the "grey cardinals" of sorts.

Emerging Keywords

N/A

Evolution of Topics

(frequency over time)

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Main Topics

(according to Latent Dirichlet Allocation):

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Most Influential Words

(main topics and words according to LDA):

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LDA works only for English-language texts at the moment. More support is coming soon, subscribe @noduslabs to be informed.

Network Statistics:

Top Relations / Bigrams

(both directions):

The most prominent relations between the nodes that exist in this graph are shown above. We treat the graph as undirected by default as it allows us to better detect general patterns.

As an option, you can also downloaded directed bigrams above, in case the direction of the relations is important (for any application other than language).