Netiquette IQ Blog Of 9/11/2019 Graph Analytics

Graph Analytics

Graph analytics is a category of tools used to apply algorithms that will help a data analyst understand the relationship between graph database entries. The structure of a graph is made up of nodes (also known as vertices) and edges. Nodes denote points in the graph data. For example, accounts, customers, devices, groups of people, organizations, products or locations may all be represented as a node. Edges symbolize the relationships, or lines of communication, between nodes. Every edge can have a direction, either one-way or bidirectional, and a weight, to depict the strength of the relationship. Once the graph database is constructed, analytics can be applied. The algorithms can be used to identify values or uncover insights within the data such as the average path length between nodes, nodes that might be outliers and nodes with dominant activity. It can also be used to arrange the data in new ways such as partitioning information into sections for individual analysis or searching for nodes that meet specific criteria. Some common tools used to create graph analytics include Apache Spark GraphX, IBM Graph, Gradoop, Google Charts, Cytoscape and Gephi. Types of graph analytics There are four main types of analytics that can be applied to graphs: Path analysis - This focuses on the relationships between two nodes in a graph. This type of graph analytics can help identify the shortest path between nodes, find the widest path between weighted nodes and calculate a spanning tree around a center point. Connectivity analysis - This focuses on the weight of the edges between nodes. It can be applied to identify weaknesses in a system or anomalies such as abnormally high or low activity. Community analysis - This focuses on the interactions between nodes. It clusters nodes into labeled groups of similar objects to help with organization. Centrality analysis - This focuses on the relevancy of each node in a graph. It can be used to rank popularity or influence between nodes. Examples of applications for graph analytics Graph analytics can be used for a variety of applications, such as: Detecting cybercrimes such as money laundering, identity fraud and cyberterrorism. Applying analysis to social networks and communities such as monitoring statistics and identifying influencers. Performing analysis on the traffic and quality of service for computer networks. Optimizing logistics for manufacturing and transportation industries. Determining page rank analytics and tracking their popularity or amount of clicks. Analyzing the parts of a software application and how they interact to find potential issues.

           Let's remove this guy once and for all!
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Good Netiquette And A Green Internet To All! 

=====================================================================Tabula Rosa Systems - Tabula Rosa Systems (TRS) is dedicated to providing Best of Breed Technology and Best of Class Professional Services to our Clients. We have a portfolio of products which we have selected for their capabilities, viability and value. TRS provides product, design, implementation and support services on all products that we represent. Additionally, TRS provides expertise in Network Analysis, eBusiness Application Profiling, ePolicy and eBusiness Troubleshooting. We can be contacted at:

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We can be contacted at:

sales@tabularosa.net  or 609 818 1802.

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In addition to this blog, Netiquette IQ has a website with great assets which are being added to on a regular basis. I have authored the premiere book on Netiquette, “Netiquette IQ - A Comprehensive Guide to Improve, Enhance and Add Power to Your Email". My new book, “You’re Hired! Super Charge Your Email Skills in 60 Minutes. . . And Get That Job!” has just been published and will be followed by a trilogy of books on Netiquette for young people. You can view my profile, reviews of the book and content excerpts at:

 www.amazon.com/author/paulbabicki

Anyone who would like to review the book and have it posted on my blog or website, please contact me paul@netiquetteiq.com.

In addition to this blog, I maintain a radio show on BlogtalkRadio  and an online newsletter via paper.li.I have established Netiquette discussion groups with Linkedin and  Yahoo.  I am also a member of the International Business Etiquette and Protocol Group and Minding Manners among others. I regularly consult for the Gerson Lehrman Group, a worldwide network of subject matter experts and I have been contributing to the blogs Everything Email and emailmonday . My work has appeared in numerous publications and I have presented to groups such as The Breakfast Club of NJ and  PSG of Mercer County, NJ.

Additionally, I am the president of Tabula Rosa Systems, a “best of breed” reseller of products for communications, email, network management software, security products and professional services.  Also, I am the president of Netiquette IQ. We are currently developing an email IQ rating system, Netiquette IQ, which promotes the fundamentals outlined in my book.