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Ça se déroule le 21 novembre. Enregistrez vous ici et proposez des sujets de discussion de ce côté.
Si vous voulez un pro pour votre prochaine fête d’enfant ou festival international, à la sono ou au feu, mon ami Gabriel Dallaire est le gars que vous voulez.
[plug]
I don’t know what’s goin’ on at Stereo, but they seems to be booking some good quality gigs lately.
Richie is coming to town, back by Gaiser, a Minus live act. Booked with Layo & Bushwacka (which are currently producing some progressive we’re not sure we like) and local Daniel Maher.
You can say what you want about Richie, he is the guy.
From an Exalead engineer …
This is an automated reply.
I am currently hiking on the Lofoten Islands within the Artic Circle (http://en.wikipedia.org/wiki/Lofoten)
While it is true that I will have very long days with 24 hours of daylight, it won’t mean I will work more and I won’t be able to answer you until my return on 1st August.
luv it
EAVB_YOROJEISUU
I am about to deliver a big project to a client and I am playing with different ideas on what to do next.
Had (yet another) idea couple weeks ago and sent an email to my friend Duncan Moore to validate. Here’s the mail :
As more and more brands, agencies, producer and individuals disseminate content on 3rd party sites (Youtube,Vimeo, Scribd, Slideshare, Digg, Reddit, Facebook, etc.), it gets more complex to track all that content and measure the buzz (comments, links, bookmarks, RT, diggs, etc.) it generates.Per piece tracking gets rapidly overwhelming and Google Analytics is of little use, as the often-accompanying link back to the website is only a minor indicator of the effectiveness of the content. Traditional ORM solution might help for the buzz around it, but won’t tell you much about views and other data and will most likely received multiple hits for the whole conversation/campaign (the delicious link, the multiple retweets, the 5 diggs, the blog post, etc.) without really helping with analyzing that particular campaign.It might be as simple as entering all the youtube video your brand has and monitoring the number of views they generate, number of favs, comments, number of link back and so on.
From a development point of view, it could start as being fairly simple as it’s mostly about aggregating data and displaying it in a comprehensive dashboard view.
Pour Noël, je veux pouvoir filtrer me sources d’info et les mentions de mots clés selon les participants et les auteurs. Quand je fais une recherche, je veux qu’on me sorte des conversations se déroulant entre des gens qui correspondent à certain critères que j’aurai défini selon la recherche : domaine d’expertise, degré de proximité, géo-location, niveau d’influence.
Merci Internet
PS : tell me about you
Are you looking for a simple way to find new leads or know who’s interested by your competitor’s product ? Before starting a full-on social media monitoring program, here’s a simple trick you can use for free rapid ROI If you haven’t use it already, you are going to bump your head because it’s just too simple.
NOTE : This is mainly to find new B2B opportunities.
- Search for your biggest, most aggressive competitor’s company in LinkedIn.
- Select some top Business Development / Sales / Technical Sales / Marketing Manager
- Check the right-hand side of his profile, in the the “Viewers of this profile also viewed…
” box.
What do you find ? At least a good 30-50% of leads you might not already know about. If they interested by that company, chances are they might be ready to know you too.
Does it work ? Yes.
Do you know other simple yet effective social network hack like that ?
Merry Early Christmas.
As the web enters a more user-centric era where conversations can be gold mines, you will soon need the ability to filter content and news based on the influence level of the messenger to cut through the noise. If you are looking for good blogs or discussions about Django (my current framework of development), you should be able to see any post/tweets written or commented by Jacob Kaplan-Moss (one of the lead developer) at the top of your search results.
To do that, you first need to determine who has some influence online around that topic. There is currently multiple web services to evaluate user ranking, and I’ve reviewed some here. Klout is another of those services and a pretty popular one. Main problem with most of them is that they usually have no concept of relevancy : they evaluate your reach, influence, activity and other parameters as a generic score, without any relation to a topic or domain of influence.
I’ve just performed a search for ‘Django’ in Klout’s topics search box. Number one influencer on this somewhat niche topic is … Tara Hunt aka MissRogue. For those who might not know here, MissRogue is a successful author/marketing consultant/entrepreneur with a somewhat decent audience of … 29757 (Dec 1st 2009)followers on Twitter. She probably knows more about Django than the average person, but I would have expected Jacob Kaplan-Moss or some of the bloggers in my Django links collections to be slightly above her in such ranking…
klout django influencers
What happened is probably that she tweeted that keyword several days ago and the Klout engine pick it up, putting here in their Django topic basket and by looking at the outstanding number of followers she has, promoted her to the top of the list. A more complete analyze of her tweets would have been enough to avoid this error. Further analysis of shared link would be even better, but slightly more complex.
User Ranking methods and technology will most certainly become ubiquitous in a near future and evolve into something solid and relevant enough to be used as a content and conversation filter, as well as for targeted advertising purposes. A great example of the relevancy concept can be found in Traackr from which I just got a demo. They still do some manual intervention for quality assurance, but they have included a relevancy score related to the queried domain, as I would expect. We talked a little bit about their roadmap and they seems to have some pretty interesting stuff coming up.
Are you planning to use some kind of User Ranking in your applications or web strategies ? How ? What are you expecting from such tools ?
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When trying to identify early influencers and pool of knowledge around a certain topic or industry, finding early poster/commenter is one simple trick often used. Not very complex, but it often leads to other links and users and help shape how the information started to spread. Backtweets is great to see who shared a link on Twitter (despite the limited timeframe available), but Delicious gives a very different type of results and the ability to research much older content to see who picked up on it first.
I am (still…) an heavy user of delicious. By clicking on the number of persons who shared a link in delicious, you access the bookmark history page. On top of this page,the ID of the first user to share this link is displayed and the date when he shared it. It also gives you a basic timeline to look at to see when the url popularity took off. Despite a clear drop in popularity, there’s quite a bit to be said about the usefulness of the data in delicious. Something to try…
Note : Because Delicious development has been pretty stale (cough) lately, I find myself using Diigo more and more. My favourite feature is the ability to create private groups to share links with clients and partners on specific topics and projects. Main problem is that I still search for links in delicious and the auto-tagging feature is not as relevant as there is less links shared on Diigo…
I’ve also recently found out about a new startup in Montreal called Wajam offering the same kind of bookmarking tool, but haven’t had the opportunity to test it yet.
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Don’t get me wrong, I like Twitter and I use it all the time. But since it became the fastest growing channel, the number of real blog comments have dropped enormously. You often find yourself looking through rows of re-tweets that were collected by a Backtype or Disqus plugin at the bottom of a great post to realize that it was retweeted 30 times and commented once… Worse, how many times have you seen an heavily retweeted post with 0 comments ?
Retweeting shows appreciation but it’s gotten so easy, that it seems less and less users takes the time to join the conversation and comment. Not talking about adding 15 char to a retweet here. It’s probably true that Twitter increased the number of participants in those conversations, but they rarely add real value to it but simply passing it to their own network. Which is good but …
Looks like a great opportunity to show your favorite bloggers or new one you just found out about that you value their content and ideas. I am 100% sure they remember more easily comments that retweets… which could be a great opportunity to contact them if you have anything to ask or offer.
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