Saturday, December 1, 2018

The Digital Worlds get chaotic

The normal users of Internet get confused by all the new structures bing build. They start to loose their control over the data they put online, and the software programms that guide them are slowly being guided by commercial targets. The Chaos in the digital world is slowly coming. Do you still have control over all your data?

Saturday, November 25, 2017

Facebook takes over?


Not seeing what you should see

The new ways of Internet are that you don't get to see what you would like to see. The marketeers on Internet follow you, and what you like is what they will show you more and more. That isn't the news you always need, it is a repetition that brings them money since you maybe will click on things you like.

So, if you want to see new things, break with the standards, and follow the unexpected links. Look for real news, and not what the websites present you as 'the news'

I notice that the websites and blogs are vanishing to the background and that the main public visits the public social medua and websites. From there they are guided to specific places that have a commercial purpose. Not good for you, but income for the makes of these sites. Be aware of how this works, and break the chain.

Wednesday, June 1, 2016

An Internet Minute


Statistical data type

In statistics, groups of individual data points may be classified as belonging to any of various statistical data types, e.g. categorical ("red", "blue", "green"), real number (1.68, -5, 1.7e+6), etc. The data type is a fundamental component of the semantic content of the variable, and controls which sorts of probability distributions can logically be used to describe the variable, the permissible operations on the variable, the type of regression analysis used to predict the variable, etc. The concept of data type is similar to the concept of level of measurement, but more specific: For example, count data require a different distribution (e.g. a Poisson distribution or binomial distribution) than non-negative real-valued data require, but both fall under the same level of measurement (a ratio scale).
Various attempts have been made to produce a taxonomy of levels of measurement. The psychophysicist Stanley Smith Stevens defined nominal, ordinal, interval, and ratio scales. Nominal measurements do not have meaningful rank order among values, and permit any one-to-one transformation. Ordinal measurements have imprecise differences between consecutive values, but have a meaningful order to those values, and permit any order-preserving transformation. Interval measurements have meaningful distances between measurements defined, but the zero value is arbitrary (as in the case with longitude and temperature measurements in Celsius or Fahrenheit), and permit any linear transformation. Ratio measurements have both a meaningful zero value and the distances between different measurements defined, and permit any rescaling transformation.
Because variables conforming only to nominal or ordinal measurements cannot be reasonably measured numerically, sometimes they are grouped together as categorical variables, whereas ratio and interval measurements are grouped together as quantitative variables, which can be either discrete or continuous, due to their numerical nature. Such distinctions can often be loosely correlated with data type in computer science, in that dichotomous categorical variables may be represented with the Boolean data type, polytomous categorical variables with arbitrarily assigned integers in the integral data type, and continuous variables with the real data type involving floating point computation. But the mapping of computer science data types to statistical data types depends on which categorization of the latter is being implemented.
Other categorizations have been proposed. For example, Mosteller and Tukey (1977)[1] distinguished grades, ranks, counted fractions, counts, amounts, and balances. Nelder (1990)[2] described continuous counts, continuous ratios, count ratios, and categorical modes of data. See also Chrisman (1998),[3] van den Berg (1991).[4]
The issue of whether or not it is appropriate to apply different kinds of statistical methods to data obtained from different kinds of measurement procedures is complicated by issues concerning the transformation of variables and the precise interpretation of research questions. "The relationship between the data and what they describe merely reflects the fact that certain kinds of statistical statements may have truth values which are not invariant under some transformations. Whether or not a transformation is sensible to contemplate depends on the question one is trying to answer" (Hand, 2004, p. 82).[5]

source:  https://en.wikipedia.org/wiki/Statistical_data_type

BLOG's are not popular

Currently a lot of people write BLOG's because it has become quite easy. Those writers also realize that the visitors aren't coming that easy anymore, because the social media bring much more diversity. So what happens? The BLOG-writers post links on their Social Media Websites like facebook and Tumbler, and also send out Tweets to their followers to draw attention.

That worked quite well for the last years, but now people seem to not follow those links anymore. The BLOG's form an undiscoverd archive of information that most Internet-users are avoiding. A new marketing tool will be brought out soon to solve this. Not sure what it will be.

StatCounter - Browsers



What decision can the browser stats help with?


The obvious question is have you tested your website in the browsers your visitors are using? A website can look great in one particular browser and not work in any other. It is always recommended to code websites using the standards maintained by W3C.


This ensures that not only will your website be compatible now, but it will also be compatible for future software!

Tuesday, February 2, 2016

Social Networks take the traffic

With Google analytics I see that the visitors of my websites mainly go to the social networks. Blogs are hardly found and maintained anymore. The time factor is the reason. People don't have the time for a structured blog. They just publish their info on Social Networks and rely on those to carry the message to their surroundings. A scary thought because it doesn't always reach all one wants too....

Tuesday, November 17, 2015

History of Social Networking


Google Analytics - 2015

Seems like Google Analytics is THE SEO tool when you want to test the results. Especially with Social Networks you can even see real-time how the visitors come and go through the website. WIth filters you can track down individual visitors and see where they go to and what they actually do. It is a very powerfull tool....

I just tested one of my own social networks (http://iuoma-network.ning.com/) where I like to see what is going on. With over 1,8 million pageviews a year it is interesting to test things. Like, how is Windows 10 effecting the number of visitors (how many use the new system).

The answer:











2.8.1
2.256(14,33%)
35,46%
800(14,75%)






3.10
1.896(12,05%)
25,90%
491(9,06%)






4.XP
1.041(6,61%)
45,44%
473(8,72%)






5.Vista
890(5,65%)
18,43%
164(3,02%)






6.8
355(2,26%)
25,92%
92(1,70%)






7.Server 2003
5(0,03%)
60,00%
3(0,06%)






8.2000
1(0,01%) 

Saturday, January 21, 2012

SEO tricks

A lot of books on the subject have been written down. Reality is through that the web and also the routines by Google are constantly updated. So the real tricks on how to get a higher pagerank are more scarce. Mosly to get that leading position is a lot of work too. Don't believe the firms that promise you everything but ask you to pay in advance for the service. You never know if they really will help you. Believe in the basic work. Good structures in websites, the right links to and from your site. Trust that time and work will bring you a good pagerank. And know that the best place goes to the best content that is appreciated by the most visitors.

Thursday, March 31, 2011

Strength of Google Analytics

The strenghth of Google Analytics is the time factor. They keep all data of all you websites for a long periode and you can compare the statistics of the diverse websites you have under you control. An example is the situation in Japan. After the disaster of the Nuclear Plant and the Earthquake I investigated how many visitors from Japan there were just before and after the happening. You discover how visitors from a certain area aren't there anymore.

Internet seems so abstract sometimes, but with these tools you can actually measure the social impact on Websites when disasters happen.

Saturday, December 4, 2010

Oldest Counter on the blog

The strenght of counters is that they show how many hits a blog gets. The oldest counter on this blog has risen to a high number. A lot of visitors after the start of this experiment.

New workshops

Because of the new workshops at the college I will investigate some more developements in SEO and Statistics that are available online these days. Expect some more postings soon. The Internet has become a place on its own the last years. Online developements go very quickly and new tools are available every new year.

Friday, July 16, 2010

Poll Instrument




Sample of a Poll that can be placed on any platform. The Poll is kept track of by one single site with the database and this way the in formation grows fast from several sources when doing research.

Thursday, March 11, 2010

SEO and SM

Search Engine Optimalisation want to bring the websites to the public. Social Media (SM) lets people communicate on a horizontal level. These two don't always go hand in hand. People who search information often don't find the information they want. The people who earn money on bringing information to the public don't always bring the details the people want. How should these two merge together?

Monday, February 15, 2010

Twitter Principe

Het principe van twitter wordt niet door iedereen begrepen. Het woord 'twitter' geeft echter aan dat alles door elkaar loopt. Je kunt filteren in wat je wilt volgen en andere twitteraars zullen hetzelfde doen. Net het filteren van informatie en het hebben van toegang tot zeer actuele informatie is de kracht van twitter.

Ruud Janssen

Monday, November 30, 2009

Statistics on this blog increase


One of the Counters on this blog has been active for a few years now. It shows that the amount of visitors each month has been growing quite a bit. Search Engine Marketing is more important than ever since the amount of websites and webtools is growing. Who will find what on the Internet is the big question everybody is asking.

Google is using Twitter

Twitter is a free service that lets you keep in touch with people through the exchange of quick, frequent answers to one simple question: What's happening? Join today to start receiving google's tweets. That is what Google is doing.

See: http://twitter.com/google

op de volgende link trof ik ook enkele interessante feiten aan:

http://www.marketingfacts.nl/berichten/20070326_google_loves_twitter/

Dat Twitter in korte tijd ongelooflijk populair is geworden moge duidelijk zijn. Twitter was vorige week zelfs zo populair dat ze tijdelijk onbereikbaar waren. Twitter is echter niet alleen populair bij online marketing guru’s zoals Robert Scoble, Steve Rubel en Marco Derksen maar ook bij Google. Van alle drie de bovenstaande Guru’s komt hun Twitter nu al op de eerste Google pagina terecht wanneer er op hun naam gezocht wordt. En dat terwijl Marco bijvoorbeeld pas op 16 Maart is begonnnen met Twitteren. Scobles Twitter staat op de 7e positie onder zijn naam, Rubel’s Twitter zelfs al op de 5e positie. Een mogelijke verklaring kan liggen in de hoge frequentie van postings en de enorme hoeveelheid links die naar elkaars pagina’s worden gemaakt. Ik ben benieuwd welke lessen hier uit getrokken kunnen worden door Search Engine Optimizers. In ieder geval is het geen slecht idee om relevante namen alvast te registreren want het is duidelijk dat je met een Twitter op een relatief makkelijke manier veel Google-juice kan krijgen

Sunday, May 31, 2009

Google Wave 2

Google Wave has a lot of innovative features, but here are just a few:

- Real-time: In most instances, you can see what someone else is typing, character-by-character.

- Embeddability: Waves can be embedded on any blog or website.

- Applications and Extensions: Just like a Facebook() application or an iGoogle gadget, developers can build their own apps within waves. They can be anything from bots to complex real-time games.

- Wiki functionality: Anything written within a Google Wave can be edited by anyone else, because all conversations within the platform are shared. Thus, you can correct information, append information, or add your own commentary within a developing conversation.

- Open source: The Google Wave code will be open source, to foster innovation and adoption amongst developers.

- Playback: You can playback any part of the wave to see what was said.

- Natural language: Google Wave can autocorrect your spelling, even going as far as knowing the difference between similar words, like “been” and “bean.” It can also auto-translate on-the-fly.

- Drag-and-drop file sharing: No attachments; just drag your file and drop it inside Google Wave and everyone will have access.

While these are only a few of the many features of Google Wave, it’s easy to see why people are extremely excited.

Google Wave was the brainchild of a team based out of Sydney, Australia. The core team members are two brothers, Jens and Lars Rasmussen, and lead project manager Stephanie Hannon, all of whom were involved in Google Maps() previously. Google Wave was announced today at Google’s I/O Developer conference, although the product will not be available to the public for several months.

Source: http://mashable.com/2009/05/28/google-wave-guide/

Google Wave


source: http://mashable.com/2009/05/28/google-wave-guide/

Today has been dominated by news and excitement surrounding Google Wave(), Google()’s new real-time communication platform that will launch to the public later this year. In fact, there’s been so much buzz that you might just not have enough time to read the thousands of articles being released on Google’s biggest product launch in recent memory.

To make sense of it all, we have compiled key information, definitions, and links related to the launch of Google Wave. This in-depth guide provides an overview of Google Wave, discusses the terminology associated with it, details information on Google Wave applications, (i.e. the Twitter Wave app Twave), and goes over ways to keep yourself informed. We know you’re excited about Google Wave, so here’s what we think you should know.

Google Wave actually has its own lingo - yes, you have to learn a few definitions if you’re going to really understand this new communication platform. Having knowledge of these terms will help you understand more about Google’s newest project.

- Wave: A wave, specifically, refers to a specific threaded conversation. It can include just one person, or it can include a group of users or even robots (explained below). The best comparison I can make is that it’s like your entire instant messaging (IM) history with someone. Anything you’ve ever discussed in a single chat or conversation is a wave.

- Wavelet: A wavelet is also a threaded conversation, but only a subset of a larger conversation (or a wave). It’s like a single IM conversation - a small part of a larger conversation and a larger history. Wavelets, though, can be created and managed separately from a wave.

- Blip(): Even smaller than a Wavelet, a Blip is a single, individual message. It’s like a single line of an IM conversation. Blips can have other blips attached to them, called children. In addition, blips can either be published or unpublished (once again, it’s sort of like typing out an IM message but not yet sending it).

- Document: A document actually refers to the content within a blip. This seems to refer to the actual characters, words, and files associated with a blip.

- Extension: An extension is a mini-application that works within a wave. So these are the apps you can play with while using Wave. There are two main types of extenisons: Gadgets and Robots

- Gadgets: A gadget is an application users can participate with, many of which are built on Google’s OpenSocial platform. A good comparison would be iGoogle gadgets or Facebook applications.

- Robots: Robots are an automated participant within a wave. They can talk with users and interact with waves. They can provide information from outside sources (i.e. Twitter()) or they can check content within a wave and perform actions based on them (i.e. provide you a stock quote if a stock name is mentioned).

- Embeded Wave: An embeded wave is a way to take a Google Wave and the conversation within it and place it on your website. Users could use this as a chatroom, as a way to contact you, or for something more.

Twitter


Twitter as anomaly (#3) -- evolutionary de-evolution?

No one would have predicted that Twitter was going to be the next big thing, because it wasn’t/isn’t a logical “next step” in the evolution of the internet. Since html-based web pages put text and graphic files together on the same screen, the world wide web has been on a march to swallow all types of media and to embed them in ever-increasing quality (thank you, bandwidth). Twitter is “de-evolutionary”—taking us back to something that is simpler and even more constrained than basic text email.

Did the internet originally simply skip over Twitter (and is now going back to correct this mistake) or has Twitter actually arisen at its proper time and place?

source: http://something-about-twitter.tumblr.com/

by Allen Bukoff, PhD.
Social Psychologist.
Business consultant.
I am NOT a social media expert. There may not be any real experts on "social media" yet. It's probably too early for that. We don't even know where this is all going. But it looks like it's going to be an interesting ride. Especially Twitter! There's something really really fascinating and different about Twitter.

@bukoff on Twitter (the writer)
@iuoma onTwitter (that is me)

Friday, May 29, 2009

BING?

A new searchengine is coming soon. See http://www.bing.com/ which will give you access as soon as it is online. The demovideo at http://www.decisionengine.com/Default.html gives you a glimps of what is coming. Microsoft tries to beat Google. We will see what the public thinks of this soon.....

Sunday, April 26, 2009

Google Analytics

Google Analytics offers a weath of possibilities when one wants to know all about a website. The only problem I see is that it is a commercial product that Google wan'ts to promote and when you use it and like it it might cause a problem of becoming dependent on the system. They made the analyses for free when your site doesn't generate too much traffic. You can monitor several sites from one console. Webdesignes and webmasters for sure will love this tool but eventually will need a subscription to have access to the data. But I must confess, the interface Google Analytics has designed is a fantastic tool for sure.

Details: http://www.google.com/analytics/

Off course I started the tracking tool from Google Analytics also on this blog. We will see what it bring and I will report on it later too.

Friday, March 20, 2009

Stats on 20-3-2009


No changes on the BLOG for 4 months, still 2000 visitors to the blog. I must have done something right with this blog since the visitors come even without having any new information to tell you. Since a class of Mediatechnology gets a workshop on this theme, and I will use this blog as sample for some elements, I will publish a few new goodies here soon.....

Extreme Tracking

eXTReMe Tracker