Swarm Creativity Blog

Today Michi Henninger told me about an overview description and  case study of the contribution index, analyzing the km4dev knowledge sharing community for development. Good overview of how to use contribution index to analyze a COIN in the making.

This is a simple example of Coolhunting over the internet. To start with, I would like to thank Professor Gloor for inviting me to write on Swarm Creativity blog. This was a study I did for the Collaborative Innovation Networks class in MIT Sloan, which was taught by Professor Gloor. The goal is to use variety of tools offered by Condor to compare people’s perception of products, and understand the difference between “cool” and “hot”. Both BMW i8 and Porsche 918 are plug-in hybrid sports cars. However, the Porsche is one of the fastest and most expensive supercars ever produced, and the BMW is more practical and “affordable” (about 1/6 the price tag of 918). The question is, which is cooler? Web Collector The Web Collector is a good place to begin because it offers a straight forward first look into the popularity of the subjects under examination. This is a data set that searches web pages updated between Sep 18 – 25 th with the term “bmw i8” or “porsche ...

by Patrick Hiesel In preparation for the German parliament (“Bundestag”) elections, I analyzed the social media landscape using Condor and tried to make educated predictions on the election results. In this blog post I will outline the methods and concepts used during Coolhunting. Political Landscape in Germany In total, 34 political parties ran for parliament. In my opinion, seven of them had a fair chance to overcome the 5% barrier, which prevents parties with a low number of votes from being represented in the German parliament. Possibilities Elections offer a wide range of interesting Coolhunting topics. First and foremost: Prediction. When looking at the political landscape and the different social media policies of each party, it is quite obvious that one cannot predict the detailed outcomes of an election when just looking at social media. To give a viable example, the German Pirates – a rather small party consisting mainly of tech-savvy young (relative ...

by Ernesto Strazza This post is based on a class project done for the 2013 COINs Seminar What do the Web and Twitter tell us about mental conditions and problems? How are the basic ideas related, and what is their context?  What are some key institutions and organizations?  The results shows that "self esteem" and "depression" tend to be away from each other. Causes and effects of related mental conditions seem to be closer to "depression" and isolated from "self esteem." With the addition of the concept "drug", the relation between "self esteem" and "depression" becomes stronger and more connected.  The second part of the study shows that  "fame" increases the influence of the concepts "drug" and "self esteem." Objectives: - Find relations  and interaction between psychological concepts and conditions. - Discover how  those concepts relate (link) and aggregate on the Web....

by Diego Mendez Using the software Condor and its capacity to interpret word sentiment I will explore the context and relationships between the 3 brands Apple, Google and Oakley on the Web. This approach is based on coolhunting the Web through  qualitative data analysis . Brands Selection What do Apple, Google and Oakley have in common? The relation between the giants Apple and Google is obvious, as they both compete in the technology arena and they are both trendsetters in their particular and common markets. How does Oakley fit into this profile? Oakley is the top innovator in the eyewear industry (e.g. they invented the curve lens); this culture of innovation has carried them to explore other potential uses of this eyewear. In particular ,Oakley launched a product called AIRWAVE last year. This product includes a particular technology that allows any snowboarder (or skier) to watch and read analytics, track information, text messages, videos etc… through a very small ...