Microsoft Cloud Authors: Nick Basinger, Kevin Benedict, Pat Romanski, Liz McMillan, Lori MacVittie

Blog Feed Post

FriendFeed Helping Twitter?

A few weeks back, I wanted to pick up C#.  I have been hacking away in Python for a couple years, but now that I am in the Developer Platform Marketing division at Microsoft, I really felt it was my obligation to pick up some C# skillz.

The first thing I went and wrote was a small app that utilizes the FriendFeed API.  It polls the service for their public timeline.  It then iterates through each entry in that list and gets the last 20 posts (I think) for each user for the entries in the public timeline.  Within the code, I added the following:

dictRegExStrings.Add(”Twitter”, “.com/(.+)”);
dictRegExStrings.Add(”Digg”, “.com/users/(.+)”);
dictRegExStrings.Add(”delicious”, “.com/(.+)”);
dictRegExStrings.Add(”Last.fm”, “.fm/user/(.+)/”);
dictRegExStrings.Add(”FriendFeed”, “.com/(.+)”);

What that allowed me to do was to take the service name and then use my list of RegExes to pull the user name for those services (in case I wanted to go ping their APIs or do other such things, like recreate a social graph…).  I have about 10 of them that I wanted to track specifcally, and I list the ones above to show how I was going about doing my matches against the FriendFeed object.  I iterate through the public feed fetches, as seen in this code snippet:

FriendFeedClient ffClient = new FriendFeedClient();

ServiceNames = new List<string>();
for (int i = 0; i < length; i++)
    pubFeed = ffClient.FetchPublicFeed();

I do my tabulating, and move on to the next public feed fetch.  I was happy that I got the code running, and how easy the FriendFeed guys have made it to use their service in this way.  In order to be a nice net citizen, I put a sleep in my for loop.  In any event, here’s the interesting bit: when I first wrote the code I started dumping data to a text file.  The last one I dumped before today was:

11/27/08 1:00AM
Twitter:        10433   23.84 %
Delicious:      681     1.56 %
Last.FM:        465     1.06 %
Digg:           3933    8.99 %
FriendFeed:     3157    7.21 %
Facebook:       703     1.61 %
YouTube:        580     1.33 %
Disqus:         33      0.08 %
Tumblr:         1599    3.65 %
StumbleUpon:    433     0.99 %
Flickr:         762     1.74 %
Blogs:          13273   30.32 %
Other:          7718    17.63 %

Before today, it was merely a novelty for me.  I actually ran the code again on Monday, and had seen that the Twitter traffic had trended up to 40%.  However, this week, it was announced that FriedFeed had implemented a feature allowing their users to import their Twitter friends.  It was postulated by some that this would have the impact of an increase in traffic/usage for FriendFeed.  Others went so far to say that the announcement by Twitter to up their rate limits on APIs was a shot at FriendFeed.

Since I had the data just sitting there on my computer, I decided to do another run just to see what was going on.  I ran it a couple of times.  Once with five iterations, once with 10, and something like 300 iterations.  Here are those results:

01/22/09 12:00PM
Twitter:        93121   52.45 %
Delicious:      9431    5.31 %
Last.FM:        1302    0.73 %
Digg:           9200    5.18 %
FriendFeed:     13743   7.74 %
Facebook:       4165    2.35 %
YouTube:        1337    0.75 %
Disqus:         335     0.19 %
Tumblr:         2645    1.49 %
StumbleUpon:    1827    1.03 %
Flickr:         1858    1.05 %
Blogs:          19425   10.94 %
Other:          19169   10.80 %

Look at the percentages for FriendFeed and Twitter.  Quite a dramatic difference.  More importantly is that the posts identified as FriendFeed have stayed flat, but Twitter is zooming.  Whether this translates out to people viewing Twitter through FriendFeed has yet to be seen, but the Twitter usage is way up.

Since I’ve got the code, I will continue to track this for a while.  In fact, I think I am going to create and Azure app that has a worker role that just pings FriendFeed from time to time and track this data over time, and publish the date for everyone to see.  That’ll be my next code project.

Read the original blog entry...

More Stories By Brandon Watson

Brandon Watson is Director for Windows Phone 7. He specifically focuses on developers and the developer platform. He rejoined Microsoft in 2008 after nearly a decade on Wall Street and running successful start-ups. He has both an engineering degree and an economics degree from the University of Pennsylvania, as well as an MBA from The Wharton School of Business, and blogs at www.manyniches.com.

IoT & Smart Cities Stories
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...
Nicolas Fierro is CEO of MIMIR Blockchain Solutions. He is a programmer, technologist, and operations dev who has worked with Ethereum and blockchain since 2014. His knowledge in blockchain dates to when he performed dev ops services to the Ethereum Foundation as one the privileged few developers to work with the original core team in Switzerland.
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
Whenever a new technology hits the high points of hype, everyone starts talking about it like it will solve all their business problems. Blockchain is one of those technologies. According to Gartner's latest report on the hype cycle of emerging technologies, blockchain has just passed the peak of their hype cycle curve. If you read the news articles about it, one would think it has taken over the technology world. No disruptive technology is without its challenges and potential impediments t...
If a machine can invent, does this mean the end of the patent system as we know it? The patent system, both in the US and Europe, allows companies to protect their inventions and helps foster innovation. However, Artificial Intelligence (AI) could be set to disrupt the patent system as we know it. This talk will examine how AI may change the patent landscape in the years to come. Furthermore, ways in which companies can best protect their AI related inventions will be examined from both a US and...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of San...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...