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1T6-511 - Network Analysis and Troubleshooting - Dump Information

Vendor : Network-General
Exam Code : 1T6-511
Exam Name : Network Analysis and Troubleshooting
Questions and Answers : 120 Q & A
Updated On : April 19, 2019
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1T6-511 Questions and Answers

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1T6-511 Network Analysis and Troubleshooting

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Exam Questions Updated On :


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1T6-511 exam Dumps Source : Network Analysis and Troubleshooting

Test Code : 1T6-511
Test Name : Network Analysis and Troubleshooting
Vendor Name : Network-General
Q&A : 120 Real Questions

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Network-General Network Analysis and Troubleshooting

network Monitoring and evaluation: A Protocol strategy to Troubleshooting | killexams.com Real Questions and Pass4sure dumps

Authors: Ed Wilson and James NaramorePages: 359Publisher: Prentice corridor PTRISBN: 0130264954

Introduction

The title of this book is awfully descriptive, it tells you certainly what’s this booklet about. community analysis and monitoring includes using correct software and/or hardware tools to seize, decode, interpret, and react to the contents of statistics packets as they transit a network’s medias. This method is a useful community troubleshooting formula, yet it is the least understood of all administrator actions. Protocol degree analysis is too regularly unjustifiably considered an esoteric undertaking restrained to an enlightened internal circle.

in regards to the writer

during this publication the creator tries to appropriate the situation by tackling the tortuous task of community troubleshooting from a protocol analysis standpoint. Ed Wilson (MCSE+I, MCT, grasp ACE, CCNA) is a senior networking expert with Full service Networking, a Microsoft solution provider associate in Cincinnati, OH. he's the co-author of a couple of home windows networking books.

inside the publication

The publication begins with an exhaustive overview of essentially the most average protocols you're likely to encounter while troubleshooting the network. After studying the primary chapters you’ll have a fine realizing of the TCP/IP protocol suite, the SPX/IPX protocol and SMB. firstly you’ll see how TCP provides authentic connections and stream manage. You get a glimpse into the complexity of TCP implementation when the writer discusses the three approach handshake and the linked TCP quiet time theory, reset era and processing, circulation window management, and so on.

The internet Protocol (IP) is chargeable for fragmentation and reassembly of information packets as well as providing birth and routing from source to vacation spot. knowing the constitution of IP packets is simple for protocol analysis. The SPX/IPX protocol associated with Novell NetWare environments is additionally coated in detail. in my opinion, i used to be now not very interested in this half, but whoever offers with Novell networks will find this chapter very beneficial.

The remaining chapter during this first part of the e-book is in regards to the Server Message Blocks (SMB) protocol. SMB is Microsoft’s file sharing protocol that ships with each Microsoft windows system. it's therefore, for more desirable or worse, the most general software stage protocol in LAN environments. It allows the sharing of directories, files, printers, and different components throughout a network. SMB is coated here in super aspect given that it’s crucial for a hit troubleshooting: the chapter is accompanied by way of many packet captures displaying how SMB operates in precise world cases.This booklet was published in 2000 and it doesn’t include suggestions on fresh trends round SMB. SMB turned into originally developed by means of Intel and Microsoft in the early Eighties and has been the core of DOS and home windows filesharing ever given that. within the late 90s Microsoft renamed it to CIFS (average information superhighway Filesystem) and even submitted draft CIFS standards to the information superhighway Engineering task drive (the drafts have since expired). although SMB has been engaged on right of NetBIOS API over TCP/IP (frequently referred to as NBT), in contemporary versions of home windows (particularly Win2000) SMB is applied in simple terms over TCP/IP, and NetBIOS is protected simplest for backwards compatibility. All these tendencies have delivered to the complexity of SMB/CIFS, with essential implications for protocol analysis and troubleshooting.

After searching at the players, it is, the protocols involved, we’re able to take a look at the issues – specifically client, server and utility site visitors. That’s part two of the e-book.

client site visitors and communication with the server is examined step-via-step: customer initialization, DHCP traffic, WINS traffic and community browsing.The chapter dealing with server site visitors analyses area controller initialization, DNS resolving and other server related concerns.The subsequent chapters center of attention on application site visitors: FTP, HTTP, SSL, SMTP/POP3 (with specific reference to the MS exchange server site visitors).each and every of the chapters are accompanied by way of huge seize examples so that you’ll see how all this looks in follow.

The third a part of the publication is in regards to the tools used for network monitoring. The writer chose to make use of exclusively Microsoft’s community video display household. NetMon is blanketed with windows NT or 2000 Server working techniques (although it’s no longer part of the default installing). NetMon offers an intuitive interface and easy interpretation of captured records. The writer explains a way to make the catch, view it and put it aside as well as filter and analyze the bought facts.

The ultimate fourth part of the e-book is set troubleshooting eventualities – it's right here the ordinary networking issues are examined from a protocol strategy. These problems consist of pc logon failure, DHCP hire issues, sluggish computing device site visitors, excessive announces and other issues.The ultimate chapter offers with some particular safety issues such as finding DHCP rogue servers and detecting other sniffers on the LAN (simplest different NetMon sniffers).

Some appendixes follow with lists of common TCP and UDP port numbers, command line utilities, NetBIOS suffixes, and some packet seize records (domain controller startup and opening a web page).

additionally, the e-book includes a CD-ROM with pattern community traces (txt and NetMon format), custom filters and batch info for beginning community video display with a number of alternatives.

My opinion

the primary element you notice about this book is that it’s clearly windows centric. The author is a specialist in windows networking, so this choice isn't any surprise. despite the fact, I don’t regard this as a foul thing always. windows is a pervasive working device, it’s tough to imagine a LAN devoid of some home windows workstations on it, and windows machines are the leading source of network issues and the main center of attention of network troubleshooting. it is hence a good suggestion to cover SMB/NetBIOS in detail, as this additionally applies to Unix/Samba eventualities (for ex. Linux servers and windows workstations integrated for file and printer sharing). furthermore, it should now not be forgotten that the majority of subject matters covered during this ebook truly applies to normal TCP/IP considerations, no longer always windows connected.

The option to push community display screen as the most effective tool for protocol analysis is most likely limiting. however NetMon is handy to make use of, there are extra subtle alternate options, akin to Ethereal. In recent years the porting of the Unix packet seize library (libpcap) and its implementation in windows as “winpcap” has definitely elevated the possibilities. For ex. Ethereal for windows is according to Winpcap drivers. And now that you can build your personal applications for packet trap and packet creation beneath windows, in line with the winpcap framework – which gives you plentiful percentages to experiment and explore.

regardless of its limitations, this publication remains a good read for these wondering what’s going on beneath the hood of their network and why issues don’t work as they’re presupposed to. besides the fact that children don’t are expecting this e-book will make you a TCP/IP guru. Protocol analysis is a skill that gets honed with a lot of practical palms-on work. hence, you’ll deserve to work with a packet analyzer a great deal earlier than you’re capable of see any tangible consequences. however this book can be an excellent guide in this technique.


Netstat: network evaluation and troubleshooting, defined | killexams.com Real Questions and Pass4sure dumps

Feb 06, 2013, eleven:00 (0 Talkback[s])(other reviews by Jesse)

The netstat command offers you a collection of tools to answer the question "What in blazes is going on on my network?" when issues go wrong. To be in a position to use it simply at such an occasion, although, you may wish to find out how it works right now, so that you’ll be organized. besides, it by no means hurts to remember your network just a bit more advantageous. examine on to find out exactly what netstat is, what you can use it for and the way it can help you resolve issues and take into account your community.

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Democratizing statistics analysis With AIOps | killexams.com Real Questions and Pass4sure dumps

Drowning in a sea of records, IT operational groups are searching for any counsel to assure better consumer experiences and force greater correct decision-making to help enterprise effects. In turn, contemporary IT groups at the moment are turning to synthetic intelligence for IT operations (AIOps) to gain a aggressive knowledge.

AIOps is a brand new strategy that provides much-obligatory relief to IT groups trying to get in front of these developments -- promising to always trade the manner agencies organize their IT operations by way of automating many of these days’s pursuits IT initiatives.

A record by using Markets and Markets estimated the global AIOps platform market to reach $eleven.02 billion through 2023 (from $2.55 billion in 2018), a compound annual growth expense of 34%. looking forward, infrastructure management and internet of issues (IoT) protection are expected to be the quickest-growing to be functions within the AIOps platform market as chief tips officers (CIOs) push digital transformation.

What’s The issue?

enterprises need actionable and predictive insights to superior manipulate great IT operational investments and facts that sits across different IT organizations. This creates finger pointing and ambiguity when problems crop up. meanwhile, it has develop into more and more complicated for IT agencies to justify infrastructure investments or quantify the cost any given community exchange has on earnings, productivity or return on investment (ROI).

AIOps make experience of all this raw statistics by means of offering richer enterprise context for new IT investments, driving faster IT incident response and proactive detection to capabilities complications. right here’s how:

a relatively new IT assemble created during the mixture of large facts analytics, artificial intelligence (AI) and computing device studying (ML) algorithms, AIOps became developed as a extra productive solution to enrich and in part exchange more than a few IT operations like efficiency monitoring, IoT protection, experience correlation, information evaluation and repair management. These methods consume cloth quantities of IT body of workers’s time and resources. What’s more, many of these areas never tied this again to the strategic IT aims -- anything CIOs have been in quest of for years.

through centralizing the rigorous analysis of diverse IT records from devices, applications, infrastructure facets and broadband connections typically ingested through discrete programs from a panoply of providers, exceptional IT efficiencies can be performed.

With the appropriate evaluation, better facts units provide an opportunity for more desirable insight and determination making. as soon as a baseline for any given network carrier or expertise is dependent, any deviation from this baseline exhibits the impact on the bottom-line person and device productiveness with actual bucks ascribed to any behavioral exchange in network operations.

The analysis contains correlating this disparate statistics and applying subtle algorithms that compute, measure and song behavior over time, settling on trends and anomalies that people without difficulty can’t.

AIOps presents two important merits: the ability to automate activities services and stay away from expensive provider disruptions, while additionally reducing the time to find and fix problems that may’t be quite simply recognized.

whereas usual IT monitoring tools can tackle pursuits infrastructure operations, they had been not ever conceived to handle the breadth and depth of “Amazon-type” data. up to date digital operations management requires a brand new type of web-scale equipment built on a high-quality foundation of AI know-how and ML algorithms above all designed to cope with IT-related infrastructure considerations.

Getting insight Into New IT Blind Spots

The commonplace thought at the back of AIOps is to use real-time analytics to extract meaningful insights from information to bring continuous improvement, sooner deployments and better collaboration between siloed IT personnel.

principally, AIOps adoption is concentrated on extracting important records insights to enhance the effectivity of community operations while decreasing the time to verify the basis explanation for inefficiency or incidents throughout the network that negatively have an effect on user productiveness. additionally, AIOPs offers a lot-vital visibility into new community blind spots created by using nontraditional IoT systems.

Key to attaining these advantages is being in a position to automatically establish “regular behavior” for a given application, community carrier or gadget, and when deviations from the norm ensue. whether that’s how lengthy it takes a device to connect with a Wi-Fi community, an utility to reply or the utilization of broadband links, AIOps can aid in anomaly detection. by way of predicting shifts in average system behavior in dynamic construction environments and via continually watching information from distinctive views and tracking it in real time, AIOps can do what humans can’t.

a tremendous hurdle IT businesses face is understanding the way to suppose of AIOps in the context of tools they’ve always used. Given its newness, AIOps doesn’t fit neatly into an IT operational box but quite transcends the IT company because of the breadth and depth of its utility.

This presents ideological challenges for possibility-averse businesses attempting to rationalize the deployment of AIOps systems. while advances in expertise are tremendous, they're best advantageous if they address pressing complications that can’t be readily solved with commonplace equipment, akin to being capable of music user performance and gadget security from one end of the infrastructure to the other. To take advantage of the merits of AIOps, IT leaders ought to stroll earlier than they run.

opting for an AIOps platform that can be without problems operationalized capacity finding one intention-constructed to crunch a extensive set of diverse information. This comprises, but isn't restrained to, IoT device transactions, Wi-Fi metrics, network provider messages, software responses and extensive enviornment community site visitors flows. to date, there hasn’t been a primary device, framework or repository to address this classification of distinctive network facts analysis.

moreover, it’s important that any AIOps answer can add quantifiable cost across diverse IT factions and be operationalized inside heterogeneous network environments with little or no disruption.

ultimately, AIOps programs must be in a position to deliver a competitive skills with correct predictions for quite a number incidents throughout legacy and up to date infrastructure, IT administration tools (log analytics, monitoring, IT service management) and business procedures.

whereas AIOps is via no capability a panacea for all issues IT, it's greatest for automating many of these days’s tedious IT projects. Adoption will aid companies change how they prepare their IT operations with meaningful insights that foster company improvements, speed up community fixes, improve crew collaboration and bring quantifiable justification from real information never truly used for this goal.


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Network Cable Tester Market Detailed Analysis, Growth Factors, Top Key Companies, Trends and Developments, 2018-2028 | killexams.com real questions and Pass4sure dumps

This press release was orginally distributed by SBWire

Valley Cottage, NY -- (SBWIRE) -- 03/22/2019 -- Market Outlook:In the present scenario, the technical advancements in communication, electronics, and other industries have led to the development of efficient network cable testers. Network cable testers play a vital role while installing new cables and troubleshooting existing cables. Common cable tests include attenuation, wiremap, length, DC loop resistance, and return loss. Standards associations such as IEE, ISO and, TIA are continuously researching to provide guidelines for cabling professionals while installing, troubleshooting, and certifying cable networks. There exist specific requirements and potential difficulties in employing these network transmission technologies. With higher speed Ethernet standards, it is becoming more critical to keep up with the latest proliferation in cabling communications and network cable testing. Growing networking industry is expected to provide an important boost to the network cable tester market.

The Rise of Cabling Infrastructure, the Key Factor Driving Demand for Network Cable Tester Market:

As networks are evolving, the need for the cabling infrastructure is increasing to support them. Network cable testers are made with a range of focused features for specific field tasks. They provide a level of assurance that the installed cable links give the wanted network transmission capabilities to assist the data communication wanted by the users. Commercially, network cable testers are categorized into one of the three hierarchical sets; qualification, verification, and certification.Certification Network Cable Tester is the tool that provides Pass or Fail figures in accordance with industry conducts.

Furthermore, the rapid development of gaming devices and equipment in LAN (Local Area Network) is also leading to the increased sales of cables, which has resulted in increased demand for network cable testers to provide quality and safe connectivity.

Get Sample Copy of Report @ https://www.futuremarketinsights.com/reports/sample/rep-gb-8382

Global Network Cable Tester: Market Segmentation

On the basis of Product Type, the global Network Cable Tester market has been segmented as –Signal TestersContinuity TestersOptical Cable Testers

On the basis of Test Functions, the global Network Cable Tester market has been segmented as –CertificationQualificationVerification

Global Network Cable Tester Market: Market Participants:The number of players present in the Network Cable Tester market is trivial. Some of the key players operating in the global Network Cable Tester market are Atcom Inc., Fluke Networks, 10Gtek Transceivers Co., LTD., GENERIC, NetScout Systems, Inc., Ologymart, Transway's Marketplace, TeKit, axGear, Advanced Fiber Solutions, AEMC Instruments, L-com, Platinum Tools, Klein Tools, among others.

Key Developments in Network Cable Tester Market:New product innovations have been witnessed as the cable industry is growing significantly. In 2016, Ideal Network, a major manufacturer of the portable network, cable certification, and testing equipment launched the updated NaviTek NT to help networking experts pinpoint and solve issues quickly for copper and fiber-optic networks. The compact and flexible Network Cable Tester fits into narrow areas where significant cabling is often located, assisting engineers to work more efficiently, the company said.

Request to Browse Full Table of Content, figure and Tables @ https://www.futuremarketinsights.com/toc/rep-gb-8382

Opportunities for Market Participants in Network Cable Tester Market:

The rapid evolution of cabling systems and rapidly increasing use of Single Mode cabling for 40G Ethernet, MPO/MTP fiber and beyond has provided a spectacular growth to the Network Cable Tester market. As data centers and enterprise networks are increasing, the demand for certified network cable testers have also increased. Cable installers gain significant productivity with Certifiers.The market in the Asia Pacific is expected to register a relatively strong CAGR during the forecast period. Japan possesses an extensive network and cabling industry due to its unique culture and market size. Many of the globe's most important and innovative industrial companies are Japanese. These factors are supporting growth in the Asia Pacific for Network Cable Tester market. In North America, the number of broadband connections has grown well, posing a potential opportunity for network cable tester market. In the Middle East and Africa, the growth remains unstable due to the lack of innovations in the cabling industry. The network cable tester market in Europe is expected to record a moderate growth. In Germany, the technological advancements in the cabling industry have witnessed a significant growth, which has resulted in the increased demand for Network Cable Tester equipment.

For more information on this press release visit: http://www.sbwire.com/press-releases/network-cable-tester-market-detailed-analysis-growth-factors-top-key-companies-trends-and-developments-2018-2028-1177834.htm


Book Review: Practical Packet Analysis: Using Wireshark to Solve Real-World Network Problems | killexams.com real questions and Pass4sure dumps

The overall equation is pretty simple: If you want to understand network traffic, you really should install Wireshark. And, if you really want to use Wireshark effectively, you should consider this book. Already in its third edition, Practical Packet Analysis both explains how Wireshark works and provides expert guidance on how you can use the tool to solve real-world network problems.

Yes, there are other packet analyzers, but Wireshark is one of the best, works on Windows, Mac, and Linux, and is free and open source. And, yes, there are other books, but this one focuses both on understanding the tool and using it to address the kind of problems that you're likely to encounter.

Practical Packet Analysis will help you to fully understand packet analysis. It will show you how to:

  • capture packets
  • work with captured packets
  • follow packet streams
  • make use of Wireshark's graphical interface
  • understand both transport and upper-layer protocols
  • address the kind of problems you're likely to encounter
  • and use Wireshark to do packet analysis and track down security issues
  • The book provides clear, understandable explanations and a good focus on the things you need to understand and will walk you through the process with enough examples to prepare you to work on your own.

    Here's the Table of Contents:

    Introduction Chapter 1: Packet Analysis and Network Basics Chapter 2: Tapping into the Wire Chapter 3: Introduction to Wireshark Chapter 4: Working with Captured Packets Chapter 5: Advanced Wireshark Features Chapter 6: Packet Analysis on the Command Line Chapter 7: Network Layer Protocols Chapter 8: Transport Layer Protocols Chapter 9: Common Upper-Layer Protocols Chapter 10: Basic Real-World Scenarios Chapter 11: Fighting a Slow Network Chapter 12: Packet Analysis for Security Chapter 13: Wireless Packet Analysis Appendix A: Further Reading Appendix B: Navigating Packets

    A detailed Table of Contents can be downloaded from the No Starch Press site.

    If you've ever had to drill down to the packet level of network traffic, fully grasp the seven layers of the OSI model, or solve difficult network problems, you are likely to enjoy the clear explanations and walk-throughs provided. With lots of step-by-step instructions, you won't have to be a Wireshark pro to get value out of this book and you're likely to get some valuable insights even if you've been analyzing network traffic for a while. Anyone totally new to packet analysis and Wireshark can learn what they need to become a packet analysis professional.

    Well written, insightful, thorough, and practical, this book will be valuable to anyone wanting to understand and analyze network traffic. Even if you're starting from scratch, you're likely to love this book.

    Join the Network World communities on Facebook and LinkedIn to comment on topics that are top of mind.

    What is Network Analysis and how does it replace and solve the problems of Social Profiling. | killexams.com real questions and Pass4sure dumps

    Social Profiling is how Media Companies identify their audience, commission editorial, sell ad space, and generally base their business models.

    Here’s 3 quick facts which make the situation stark.

    · Social Profiling is 6x more likely to be 100% wrong than right (that’s from the main researchers that do this stuff btw)

    · The industry is worth around £60bn in the UK alone

    · Much of the basic infrastructure and data trade required will be illegal from May 2018.

    Social Profiling rests on some key presumptions that in turn rely exclusively on some very tenuous academic discoveries. Many of the academics themselves point to the inability to use these methods in anything other than very isolated academic applications; and bridle at the idea that they can be used at scale with success.

    How similar are you really, objectively, to your spouse, or your best friends or family? And yet despite the similarity (or actual lack of) how similar is your behaviour? So why do we jump to the conclusion that extrapolating this over a wider audience is more correct?

    You begin to see why conversion rates are pitifully low.

    I’m sure everyone had the same reaction when they first saw conversion metrics, or when they explained conversion metrics for the first time. That 5% — yeah that’s meant to be good. Yep the best cutting edge social profiling and micro targeting technology out there gets about 5% conversion.

    The patent fact of the matter is that it doesn’t work as well as it’s marketed to work.

    In addition to this, in May the EU’s GDPR rules will come into force — precluding the trade of data collected without opt-in consent. That means no more demographic analysis from third parties, no more collecting of your own audience, and definitely no more selling of that data.

    For those businesses that rely on this it’s safe to say it’s curtains. Unless you change.

    Enter the contender.

    Network Science

    Network analysis is about identifying the communities that exist in your audience. By using only those who want to be identified with content and topics you can create clear Discovery and Distribution paths — that is, those paths to discover what matters most, and the paths to get your content out to those interested most.

    That’s the simple explanation here’s the detailed one:

    If traditional social sciences measure personal attributes (monadic variables) then network science is the study of gaps between people (dyadic variables)

    Social connection may be one of these, but so could miles between cities, or being interested in the same topic.

    A good example is whether two articles share a ‘relation’ by having been visited one after the other. This might be one way (i.e., from A to B but not in return) or undirected/mutual.

    Compare this with a traditional profiling method, which would see a dataset of individuals as the rows, and the columns as the properties of those individuals, including the pages they have visited. Alternatively, you could have all pages as rows, and properties such as number of visitors, demographic characteristics etc as columns. The relations here are not obvious, and we certainly can’t visualise it in the same way. Instead we must rely on correlations and patterns in the values. Inherently this drives more intrusive data mining, as the more data the better picture (apparently).

    The fundamental basis of network analysis is to measure the network in front of you — not construct lite-science relationships between demographics and psychographics based on messy personal data that requires nefarious (soon to be illegal) mining.

    When we collect data for network science the important distinction is that we collect data about the space in between people– and not personal attributes and private data. Data might include how many people made the same journey from A to B (notably — not attributable data, therefore no invasion, and no consent required)

    Only those who want to be identified with a topic — not everyone, and certainly not anyone who doesn’t want to.

    Only their interest — no personal info; not their other likes, gender, age, location, how many kids they have, what they enjoy watching etc.

    The core belief is that for people engaged in a subject — telling the publishers that they are interested in it is not a great leap of trust and commitment. Nor is it hard to take that away should you change your mind.

    Not only is it more accurate, it is logically understandable, easier to gather consent and build the model of the network, and fundamentally safer and more cooperative with audiences.

    It’s cheaper; it can be done in-house — not siloed away with big tech companies who hold monopolies.

    It’s inherently insightful — it allows for discovery and distribution strategy that makes perfect sense.

    It’s very nature is to cultivate strong loyal communities, not rear readers as farm fodder.

    The ability to model a cross-platform network (i.e., from IG, Twitter, Facebook and YT) is impossible without buy-in from consumers. To do this on scale with all consumers results in a messy network that is too large to derive any insight from, and would require automated privacy invasion, or the individual consent from each person on a granular level.

    The solution is to only include those individuals who already play central roles in the network — and format the network from here. No need to anticipate personalities and beliefs based on flimsy theoretical correlations and covariances and no need for sampling and extrapolation.

    Measure what’s in front of you.

    How does it work then?

    What follows is the three basic networks required to derive value for publishing; the data required to model them; and what they show us.

    Content-Content network

    Ever wanted to visualise exactly how each piece of content fits in the larger taxonomy of content?

    An example of the vizualisation ofvisit patterns for a subgraph of Wikipedia pages.

    Modelling how each content piece relates and interacts with others — to allow us to identify the pieces more important in a journey, or cluster of topics. This allows us to cull the ones taking up space, or promote those that get traction within the readership.

    No personal data on users is collected or needed at all. It’s built on data about the articles (i.e. subject, sentiment length etc) and the number of visits — therefore no opt-in or opt-out consent.

    Content-User

    How each user relates to the content nodes.

    Credit — Borgatti, Everett et al

    This method allows us to appropriately model which articles to show next, based not on profiling, sampling and targeting, but on the fact that, for example, 6 of 8 articles have been read, thus 2 similarly related ones may be more relevant than others. Or that interest in 2 separate topics is frequent. and combine these, or look at exactly why. This insight is great for editorial purposes, as directions to plumb — for Aud Dev, as we get to cultivate and nurture a community with deep nuanced interest, or for commercial as it opens new markets for cross-pollination. Combining this net with the above gives even more scores to the appropriateness of articles. And modelling the structural overlap, or cross-pollination, of a user between content networks allows us to curate content appropriately.

    No other data except for confirmation by the user (opt-in) that the publisher may acknowledge the articles that have been read. Using a simple opt-in consent box; much like the cookies box used ubiquitously is all that is necessary here. This is basically browsing history but just on your site.

    When Big Data people say data helps make intelligent recommendation systems — turns out more detailed social data only gets in the way of very straightforward user and content network models. The simplest approach — measure the network in front of you — is the most powerful, user-friendly and cheapest.

    User — User

    Blue = our thought-leaders, yellow = the audience they bring with them

    The User-User networks works by looking at those individuals who are thought-leaders, or influential in a network; who that want to be identified as such, and want to work with publishers to be part of the conversation.

    We look at how the thought leaders interact with each other and with the publisher’s content, and how they use different types of engagement — sharing, likes, comments, in combination with the issues and topics they discuss. This works on the premise that, instead of getting mass consent from the whole population; getting detailed cooperation and building a relationship with those who actively want to start a two-way beneficial relationship.

    The level of personal data is minimal — beyond a screename and internal identifier we simply need consent to consider the individual interested in a subject.

    The information about interactions is not personal data about the nodes, but rather edge attributes, and gives the network its structure. We use only publicly available data and even then, only with permission from the users.

    It doesn’t need to go any further than this — no amount of data on personal issues gives any clearer picture than the shape of the network in front of us.

    A User-User network is the model of the users themselves that form a community around a topic. How they interact, the topics and issues they discuss and the thought leaders among them enable us to define paths for both Discovery and Distribution. Discovery is identifying those issues that are meaningful. The issues prone to go viral, why they go viral and the manner of diffusion is modellable here. Distribution is closely linked, and allows us to strategize about which paths and communities will best appreciate comments and content on certain topics; when to publish them and in what format.

    Hopefully this gives a good start point to understand how Network Science can take over from Social Profiling and micro targeting.

    I’ve been working recently with a handful of publishers, and am looking to do the same for as many more as I can. Feel free to reach out to me on Twitter at Samuel Cooledge to ask Qs or more details.



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    Network-General 1T6-511 Exam (Network Analysis and Troubleshooting) Detailed Information



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