Graph Analysis and Visualization: Discovering Business by Richard Brath, David Jonker

By Richard Brath, David Jonker

Wring extra out of the knowledge with a systematic process toanalysis

Graph research and Visualization brings graph conception outof the lab and into the true international. utilizing refined equipment andtools that span research capabilities, this consultant indicates you the way toexploit graph and community analytic innovations to let thediscovery of recent enterprise insights and possibilities. released infull colour, the e-book describes the method of constructing powerfulvisualizations utilizing a wealthy and interesting set of examples fromsports, finance, advertising and marketing, protection, social media, and extra. Youwill locate sensible tips towards trend id andusing a number of information resources, together with tremendous information, plus clearinstruction at the use of software program and programming. The companionwebsite bargains facts units, complete code examples in Python, and linksto all of the instruments coated within the book.

Science has already reaped the good thing about community and graphtheory, which has powered breakthroughs in physics, economics,genetics, and extra. This publication brings these confirmed innovations intothe global of industrial, finance, approach, and layout, helpingextract additional information from info and higher converse theresults to decision-makers.

Study graphical examples of networks utilizing transparent and insightfulvisualizations
Analyze specifically-curated, easy-to-use facts units fromvarious industries
Learn the software program instruments and programming languages that extractinsights from data
Code examples utilizing the preferred Python programminglanguage
There is a huge physique of clinical paintings on community andgraph thought, yet little or no of it without delay applies to analystfunctions open air of the center sciences – formerly. Writtenfor these looking empirically established, systematic research methodsand robust instruments that follow outdoors the lab, Graph Analysisand Visualization is a radical, authoritative resource.

From the again Cover

Connect the dots on your enterprise information to find actionable insights

Graph research and Visualization brings graph and community thought out of the lab into the true international, with subtle tools and instruments that practice to the worlds of commercial, finance, method, and layout. Authors Richard Brath and David Jonker convey high-level services and a real analyst’s standpoint to supply a instruction manual for exploiting graph and community analytic ideas that allow the invention of recent company insights and opportunities.

This informative, authoritative consultant describes the method of making robust visualizations step by step, illustrated with enticing real-world examples from activities, finance, advertising, protection, social media, and extra. certain insurance contains examples of other software program, instruments, and programming languages that assist you extract additional information from the information, together with Gephi, CytoScape, and D3.js, with pattern Python and JavaScript code to be had for fast obtain and use. You’ll how one can take the knowledge you have got and practice community research, use the mathematical components of graph idea to extract helpful perception, and use visible layout strategies to raised speak the data to determination makers.

With distinct examples, pattern information units, code, and picture tutorials, Graph research and Visualization exhibits you ways to:

Use the fitting form of graph for each problem
Collect, fresh, and arrange facts quick, successfully, and correctly
Format visualizations for prime clarity with out sacrificing accuracy
Master the instruments that let deep facts exploration and interpretation
Create customized visualizations with a bit light-weight programming
Choose potent graph research strategies to get the main from your data
Utilize complicated visualization options together with dynamic graphs and massive info instruments and queries
About the Author

Richard Brath is actively serious about the learn, layout, and improvement of knowledge visualization and visible analytics for either examine and advertisement purposes for the various world’s biggest businesses and best software program owners. His ideas diversity from wealthy, interactive visualizations for cellular units, to giant multi-touch, multi-screen installations and web-based analytical visualizations for company purposes. David Jonker is a fashion designer and developer of visualization structures and purposes for web-based, disbursed, machine, and cellular use. He created visualization items for NASDAQ MarketSite real-time broadcast in occasions sq., and is at the moment a lead at the DARPA XDATA software, constructing new instruments and applied sciences for making experience of massive information. Brath and Jonker are companions at a number one visible analytics enterprise. among them they've got awarded at greater than 30 meetings, and feature released a variety of articles and examine papers.

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Additional resources for Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data

Sample text

Figure 1-9 shows a sketch of a graph visualization we constructed that used an interface to show only links over particular time periods. By isolating time periods, the viewer could identify event sequences, potential related events, and potential collaborators— symptomatic of a more organized attack. Also, different kinds of attacks have different visual signatures that stand out when viewing the patterns in a particular time period. 16 PART 1 Overview NOTE FIGURE 1-9: This graph visualization shows potential anomalies with connections between internal computers (inside) and external computers (around perimeter).

The distance between any pair of nodes indicates the strength of the correlation (close nodes have a strong relationship). Because there are many items, we turned off all the links to keep the display clean. Perhaps not surprisingly, there is a strong correlation between celebrities such as Justin Bieber, Lady Gaga, Felicia Day, and Taylor Swift. Inverse correlations are on the flip side in this visualization, and perhaps unsurprisingly, Margaret Atwood and Richard Florida are inversely correlated to the pop stars.

Here, online communities are characterized by locale.

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