Vasaloppet 2014 – Data analysis of a XC ski race

April 15, 2014

Vasaloppet is the largest cross country ski race in the world with 15,800 skiers. From wikipedia: “Vasaloppet (literally, The Vasa race)

Gustav Vasa

Gustav Vasa

is an annual long distance (90 km) cross-country ski race (ski marathon) held on the first Sunday of March in northwesternDalarna, Sweden between the village of Sälen and town of Mora. It is the oldest, the longest, and the biggest (in terms of participants) cross-country ski race in the world.[1] The race was first run in 1922, inspired by a run by King Gustav Vasa in 1520.” Read the rest of this entry »


Social Network Analysis – AnalyticsWeek

April 14, 2014

During the AnalyticsWeek in Boston, March 24 – 28, 2014, Klurig Analytics, as a Silver sponsor, handled the social media and social media analytics for the event.  This primarily involved keeping a live tweet stream including both text and pictures of speakers, moderators and panelists as well as handling the social media analytics. In two previous posts, we first discussed the event on a day per day basis, and secondly, we used twitter analysis and text mining on the Twitter feed of the event.

In this post, we will use Social Network Analysis to dive deep into the Twitter followers and friends of 17 of the speakers and panelist of the week-long event.  The reason for 17 is simply that out of 30 people, only 17 supplied a Twitter handle. We also added the handles for some of the organizers including myself (@dagh) for a total of 22 Twitter handles. Below is the graph, and below the graph are the details.

AnalyticsWeek - Network Graph

AnalyticsWeek (click to enlarge – 8mb)

Read the rest of this entry »


Social Media Analytics for AnalyticsWeek

April 11, 2014

During the AnalyticsWeek in Boston, March 24 – 28, 2014, Klurig Analytics, as a Silver sponsor, handled the social media and social media analytics for the event.  This primarily involved keeping a live tweet stream including both text and pictures of speakers, moderators and panelists as well as handling the social media analytics. In a previous post, we gave a blow by blow description and presentation of the event. Klurig Analytics used the twitter handle @AnalyticsWeek.analytics-1

AnalyticsWeek was organized by Cognizeus.

In this post, we will walk through the AnalyticsWeek tweets based on the social media analytics. Klurig Analytics’ specialties are social network analytics and text mining.  Combing those two disciplines with data Twitter data and we get a powerful set of knowledge about a community and an event. Read the rest of this entry »


AnalyticsWeek, Boston, March 24-28, 2014

April 11, 2014

During the week of March 24-28, 2014, Cognizeus arranged for Boston’s first weeklong data and analytics unconference. Each day held a different track starting with Monday and Big Data Analytics, followed by Tuesday with Health Informatics, Wednesday with Finance/Insurance, Marketing on Thursday followed by Workforce Analytics on Friday evening.

In a later post, we walk through the social media analytics from the event

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The keynote speakers for each day started with Paul Sonderegger from Oracle, Gil Alterovitz at Harvard med school, Christopher Lynch at Atlas Ventures, Judah Phillips at Smart Current, and finally Greta Roberts from Talent Analytics.

Klurig Analytics was a Silver sponsor of the event with our team responsible for social media and social media analytics. Using the handle @AnalyticsWeek and tweeting both text and images to the community, enabling non-attendees to follow along as well as leaving a historical trail of the event. For instance KDnugget used our tweets for a great post about Monday night where Gregory Piatetsky moderated a panel. Read the rest of this entry »


Social Media Analytics

December 16, 2012

Social media analytics is constantly changing and currently it seems that we are moving into phase two.

Phase one of social medi analytics was mostly about number of followers, fans, posts and tweets. The idea was that if you have a large number of fans, then you were doing well. That makes sense and often a site with more fans is doing better than a site with less fans. At the end of phase one, we begun to understand that the sheer number of fans is less important than what how these fans are engaging. To use an extreme example – a site with a thousand fans who do not engage is not as useful as a site with 100 fans who talk a lot.

As we move into phase two of social media analytics, we are starting to understand that what people are saying is more important than how much people are saying – quality vs quantity. If we continue to use the example above, we see that a site with 10 fans having a discussion with a particular goal in mind is worth more than a site with 100 fans where the discussion is not focused.tweets_only_freq_multi

Before we continue, a word of caution – social media is large and the value of your social media effort (ROI) is directly linked to your social media goals. Sometimes you want a large group of people who talks about anything and everything, and sometimes you want smaller, more focused discussions. It is all about your goals. Read the rest of this entry »


A Simple Way to Calculate Social Media Return on Investment

May 20, 2011

The Social Media Examiner has just published a new article by us here at Klurig Analytics. Apply named “A Simple Way to Calculate Social Media Return on Investment”, the article defines a few different ways to calculate your Social Media Return and your ROI.

Click here to go directly to the article.  The following is the first two paragraphs.

social media how toSocial media return on investment (ROI) is simply a measurement of efficiency. It’s a lot of things to a lot of people: “return on inactivity,” “return on innovation” and “return on engagement.”

However, in a stricter sense, social media ROI is defined as a measure of the efficiency of a social media marketing campaign. This definition might sound complicated, but in reality, it’s quite simple.

Read more at Social Media Examiner


Free Webinar – Prove the financial value of Social Media campaigns

May 19, 2011

Are your executives demanding quantifiable ROI of social media campaigns? Are soft metrics such as “engagement” and “awareness” no longer sufficient to prove its value?

Join us for a free webinar, where we will show you how calculate the ROI of social media and prove its financial impact on your business. Webinar registration.

  • Learn how to measure the financial value returned from each dollar invested in social media campaigns
  • Compare the effectiveness of social media campaigns with traditional media such asMoM ROI TV, print, radio and outdoor
  • Monitor KPI (key performance indicator) trends and optimize your social media campaigns to maximize returns.

Led by Dag Holmboe, CEO of Klurig Analytics, moderated by Mala Sarat Chandra, Lecturer in Social Media at the University of Washington, this free 30 minute webinar will run on Wednesday, May 25th, 2p, EDT, 11am PDT.

Register for the webinar here. Also, tell your Facebook friends about it.

Online tool – Facebook Social Media ROI

March 31, 2011

We are very excited to introduce our free online Facebook campaign Social Media ROI application.  The application calculates your Facebook campaign’s Social Media Return measured in dollars.

The application takes as input your campaign’s Facebook Insights metrics (instructions on our Facebook campaign site).

The extremely important output metrics include total number of fans (increasing or decreasing), your reach, and the return value of your brand awareness and engagement.  The values are measured in dollars.  Brand awareness, engagement and total values are also calculated per fan, which means that the application gives you the average value per Facebook fan. Read the rest of this entry »


Thriving Social Network Community

February 17, 2011

Update – this post was written about a year ago.

This article is to some extent based on a white paper written by Lithium Technologies called “Community Health Index for Online Communities”. Lithium has development a technique to measure the health and assign a score of an online community based on membership, content, traffic, responsiveness, interaction and liveliness. Jeremiah Owyang of Forrester Research reviewed the Community Health Index for Social Network communities. Read the rest of this entry »


Facebook Edgerank Algorithm explained

January 3, 2011

There has been quite a bit of buzz lately about the Facebook Edgerank algorithm.  The Edgerank algorithm is used by Facebook to rank posts on a user’s ‘top news’ feed to determine which posts should be shown on top of the ‘top news’ feed and which posts should not be shown on the ‘top news’ feed.

Edgerank Algorithm

When a user logs in to Facebook, there are normally many more posts destined to a user than that can fit on a user’s ‘top news’.  Therefore, Facebook uses the Edgerank algorithm to determine which posts should go on top of the ‘top news’. Read the rest of this entry »


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