You may be familiar with Wordle, a nice little Web2.0 tool by our own Jonathon Feinberg that creates word art images like this below. You've probably seen wordles like this appear recent (e.g. Tim O'Reilly's Web 2.0 paper)
Here's a game we started playing with it similar to other word games like "Cr*nium". We had lots of fun with the Pride and Prejudice wordle, and not the phrases you think would appear out of Jane Austen (e.g., "girls better consent", "young delighted experience lady", "insufficient flatter heard")
I have no idea if this is an original game by itself but I'll set out the rules we're using and you can try and tell me.
The goal of the game is to see how many meaningful phrases you can make out of words that appear next to or very near each other in a wordle.
You need: 2 or more players. Paper and pen/pencil per person. Web access to wordle.net
Pick a wordle: Any wordle. The side provides a huge gallery of items and choices. Or you can create your own wordle in a few seconds by pasting a block of text into the site. E.g., Here's President Obama's Inaguration speech wordle
Set timer for 1 minute
Every player gets to write down phrases 2 words or longer that they can make out. No repeats (or subphrases) by the same person. Words can go in any direction but they have to be right next to each other, or "close by" (as others agree upon). Size of the letters do not matter.
End of the timer, each person reads out one item from their list. You can debate whether the phrase is meaningful and not just random. They get points for the number of words in the phrase. Anyone else who found the same phrase has to delete that item from their list, and cannot reuse it.
Minimum 2 word phrases, no maximum. One point per word.
I tried the MIT Personas site just to see what it would come up for my
name. Basically, it does a Web search for any name you give it and
analyzes the text on a semantic level to find common themes or
categories for content from you or about you (e.g., it might suggest
topics like "sports", "legal", "social", "management", "online", etc.)
How it does this is a little beyond my knowledge of semantic
processing, as well as what practical use this is seems to escape me.
But it's fun. :)
Some issues with it, is that because it searches on people names across
the Web, the content may mistake e.g., one "Luis Suarez" (our own
blog-evangelist) with another "Luis Suarez" (soccer player). It helps
if you have a globally unique name like "Rawn Shah" (so far). Another
problem is that the results may vary depending on how it processes
whatever search results it finds. So, in trying it out three times to
see how close it was, it showed slightly different categories for me
and sized these differently as well.
I can't figure out why the following categories appear since I rarely if ever talk about them: military, religious, religion, genealogy
Per my previous post about Playstation Home, the rumor mill is hitting full steam. From what I understand now, companies will be able to develop for this new virtual world by partnering with Sony. So in other words, it may have the programmability of SecondLife but in a different fashion. Jay's also gathering info on the PS Home.
Sony is used to partnering with game development houses only for their Playstation environments. This kind of development can involve a build environment in conjuction with a game unit simulator that also supports debugging and large-scale development. I have never worked in this environment but the last I heard, it works with the Eclipse environment. In any case, theirs is not an open development environment and you essentially have to join their partner program to be able to do such work. This and the much higher cost of entry for developers and customers ($600+ PS3) creates some hurdles for them.
Obviously they really need to have a compelling offer and in this case, visually at least the PS Home looks appealing. Programmatically, it's value is still to be determined. With IBM's support in terms of the cell processor, I'd think we would be thinking of working with this environment too, but I am not privy to such information either so I can just speculate.
In any case, there are also two types of development involved here: application (or prim) programming and the 3D visual design. The 3D design is outside my skill level; I've done 3Ds of buildings before, but you really need to become immersed and practised with the tools for a while to become a good artist and I'm just not that caliber. This should translate to either Secondlife or Playstation Home, since these visual objects are fairly standardized in the industry. The app programming however, is definitely specific to the world.
Nintendo's Mii, on the other hand, is slightly different animal. From what I gather, essentially it allows you to edit/update characters and the environment of existing games. This to me is more like what WindowBlinds does to the Windows desktop environment, i.e. customize an existing system. This is particularly different than a MMO environment where you can build new things, exist in a mass population, and it is not centered around the structure or rules of an existing game. Another way to look at it is what tuners do to cars. You can improve the car vastly or personalize it to the extreme, but in the end, you usually still end up with a car. (but sometimes also a nightclub, a performance stage, a giant dinosaur, etc.)
So I don't really consider the current Mii and Mii channel comparable to Secondlife or PS Home. Please do prove me wrong.
The trio of Headshift, IDC and Tech4i2 have released their Interim
report on Enterprise 2.0 in Europe. This is a fantastic piece of work in
160 pages. I had time enough go through half of it so far. It covers so many
areas and compiles data on geography and economic production in countries due
to e20. Thanks to @leebryant and @mikejthompson for sharing this.
Here are some of my suggestions and points:
Pg9 Table 3 - Links between participants –
For traditional enterprise aps the “peer or hierarchical”
describes the structure of how people are linked overall, but for E2.0 apps, it
focuses on quality of individual links.
That’s two different concepts.
Option 1: include both structure and quality in each box
-Traditional Apps – “Peer or
hierarchical, if linkage with others is supported at all. Members have to
accept predefined links with others in their workgroup. Strength of linkage
-E20 Apps – “Web of connections.
Members choose who they want to link to, and strength of connection depends on
Option 2: Quality only
-Traditional Apps – Members must
accept predfined links to others in workgroup, and strength of linkage unknown
Option 3: Structure only
-Traditional apps - Peer or
hierarchical, if linkage with others is supported at all.
-E20 - Members choose who they want
to link to, and strength of connection depends on interactions
Section 2.3 pg 10
This should also indicate sources which state that
Organizational Culture and culture change is a key aspect. If you want you can
link to our IBM paper on adoption which stresses that this is not just
technology adoption, but actual work culture change.
I think for the Internal case, its missing: building
employee loyalty, satisfaction and retention. To this take a look at
Salary.com’s 2009 survey of Job satisfaction, particularly at the top reason
“why people stay in a company”: “I like the people I work with”
An Internal>External or perhaps External case is keeping
in touch with former employees/alumni. This is a variant on recruitment. By
having an Alumni community, you may be able to rehire former employees which is
much more cost-effective and faster in terms of integrating into the company.
This saves time and money over hiring completely new people.
Section 2 & 3 overall
There seems to be a heavy reliance on McAfee’s research
only. It’s very one sided. You should cite other sources as well. There are a
whole lot of other researchers in this domain too.
Page17 Communities of Interest
A community of practice is a key component of building a
“Center of Excellence” within organizations around different topics,
technologies, knowledge domains and innovation directions. It identifies
company-wide a select group of subject-matter-experts and organizational
memory. In short developing centers of excellence within organization supports
the overall innovation strategy of the company.
Pg 18 Innovation Management
IBM InnovationJam and IdeaJam system is a managed approach
to ideation and discovering employees interested or committed to bringing
innovative ideas to life. IBM has had various such Jams since 2001 across
different populations: employees only (new product or service opportunities),
employees and family (local community development, and work-life balance), and
employees, customers and business partners (challenging global issues)
Pg 20 Crowdsourcing
An example is BurdaStyle by German publishing company,
Hubert Burda Media. By providing a template system to allow anyone (customers)
to create new clothing designs of their own. This is an example Crowdsourcing
by Template; it generates new ideas that customers can sell to each other or
license to the company Burda itself to produce for the mass market.
See my book “Social Networking for Business” (Wharton School
Press, 2010) Chapter 4 on further details.
Pg20 Customer/Public Engagement
Use more European focused social sites. See ManyEyes and
comScore data on apps per country
This is missing out that E2.0 allows a variety of different
leadership models as microcosmswithin
the overall organization leadership structure. I provide a variety of these
models in Chapter 2 of my book.
The significance is that it creates an alternate dimension
of leadership hidden underneath the official hierarchical structure of the
company. These alternate models can be discovered through Social Network Analysis,
or predefined for individual communities and social environments with different
groupings of employees.
Pg40 Organisational size
One of the most obvious facts most people forget is that on
the Internet, there is practically unlimited population that may participate in
web2.0 environments. However, within an organization, there is a definite bound
of all the employees involved. What this affects is the notion of the Long
Tail: with a bounded employee population adoption need not be a long-tailed graph
at all, since you can determine through metrics data how many people are
involved, and how involved they can get. The graph changes shape significantly.
On the Internet, there is an endless supply of the long-tail on ther otherhand.
Missing is a discussion on the Dunbar number limit that
suggests people are able to at most recall 150 peers or friends, and a closer
look at why that idea is not necessarily applicable in E20 system.
Another actor of the personal social networking is that the
line between work and personal discussions is getting quite blurry. E.g., some
people use their personal Facebook profile to post both personal content and
work related content. It thus becomes harder to tell how people are working
because it requires detailed context to decide if any content posted is work related
Furthermore often employees use their corporate social
environment to casually discuss personal ideas, projects and activities. This
is not a negative, because it creates opportunities for other employees to find
commonality and like-minded peers; in other words it improves chances of
building stronger employee-to-employee bonds.
Pg78 “Eat your own dog-food”
How about “Drink your own Champagne” – a more pleasant
Pg80 Does E20 matter
For 1) or perhaps 3) there are some existing evidence /
studies on the impact of e20 on productivity and growth. See Wu, Lin, Aral and Brynjolfsson
(MIT & IBM)
When people think of developing leadership in social
environments, they often think of it in terms of a person developing their own skills
in leadership (1) versus how the group itself executes (2). These are two different things.
In particular, in my chapter on leadership models in Social Networking for Business, it is not focused on #1 individual leadership
skills, but rather on #2, how to consider what the right model is for
leadership in a given social experience. As said many times before, leadership
in a community experience is very different than that in individual social experiences
(e.g., your own blog, or profile page).
In a way, these models are much more “tactical” in the view
that they are what you might apply to one particular social environment
instance (e.g. the Durian-lovers community, Rawn Shah’s blog). These tactical
models may still run for years, and are not necessarily short-term—what we
often equate with tactical situations.
A strategic view, on the other hand, is from the eyes someone
or some team overseeing the Enterprise 2.0 ecosystem of all the social environment
instances. In many cases, they may be looking at thousands or millions of them
within the same organization. In the strategic view, you could consider how
many applications of each of the tactical leadership models exist. This gives
you an idea of how well the people across the organization are ‘skilled’--building their skills per #1 in online social environments--in
working in particular leadership models.
From an employee’s point of view, if you have never worked
in a workgroup of one particular leadership model, it takes a bit of time to
learn and understand how it works. It will require it anyway, because each
instance may have its own particular nuances and variances. However, my point
is that the employee understands the differences in working in different such
tactical leadership models, so they can contribute or lead the group more
These are the soft skills of leadership that we often
talk about, but here in terms of tangible concepts.
Furthermore, from the strategic view, this also shows that
you can have an effective Enterprise 2.0 collaborative system with high degrees
of autonomy, without needing to completely transform the structure of your
overall organization. What the employees are essentially agreeing on is that
within their many online collaborative instances, they will work as agreed
within each instance. The overall organization is still free to change and
transform, but it is possible to be both an open social collaborative organization;
yet still maintain the traditional structure, as long as both covenants allow
and support each other’s approaches and needs.
In looking at @prem_k’s
mindmap on social learning today, I spent a few minutes considering what events
can be measured relative to this topic. Unfortunately, I cannot embed the
diagram in this blog but please take a look at his
I came up with the following measurable elements and
hopefully most are self-explanatory. The mechanics of how you actually measure
these items can very from trivial counting exercises to some fairly complicated
metrics for mapping networks and measuring influence and sentiment. However, I
think most of it has been done before, perhaps just not applied specifically to
learning and pedagogy. So who’s up to that challenge?
I’m also just starting on Marcia Conner (@marciamarcia) and Tony
Bingham’s book, The
New Social Learning(ASTD & Berrett-Koehler, Sep 2010), and I
expect I’ll be learning a lot from it too.
-disemmination relative to origin
(generalized SN diagram)
-disemmination of topics across overall
network (generalized SN diagram)
-rate & velocity of
-Resharing/promoting (e.g. RT,
-Acknowledging/rating (e.g. +1,
-Relationship effects -
Friending/following/connecting, or unfollowing/negative externalities/outcomes
-Searching / search results (text,
tags, social searches)
For folks who’ve asked me about social computing and the
retail industry, I’d like to describe ideas in use. Some of you may already be
familiar with these.
First of all, there’s the “w00t” idea, most common in the US
as the site www.woot.com and even featured
in campaigns with American Express and others. It’s fairly simple, every day
they list a limited quantity of a single product (at seemingly random) at a
good deal of discount. Its success depends on mixing in very popular items with
some of the ordinary ones at many different price points, spread across a wide
range of product categories.
The social element here is in competition to get
one which often heats up considerable. Folks have even created bots or software
applications to beat others to the purchase. To spur this competition on, there
is constantly updated “sales snapshots” of the purchase experience for that
item: a map of the US where it’s being purchased the most, sales per hour, the
number of times the purchaser has bought from the site before, how many the
bought, etc. Finally, the discussion thread often gives social input or
feedback to what others think of the product. Other companies have tried this,
for example, I recall seeing it on American Express shopping as Deal of the Day
where they had a Honda Civic Hybrid as the deal for almost 60% of the sale
The key element is the competition, limited quantity and
thus exclusivity of the items of the site. All the social input exists to feed
the competitive basis unlike other online retail sites, where this is not at
all emphasized. Rather they take the stance that there is always some quantity
available. However, the competitive element of woot combined with a surprise in
random but in-demand items, is what turns the social elements into a game-like
structure, and most importantly: bring people back to the site. This method
isn’t new by any means, but the online environment makes it easier to spread
the word and increase the likelihood of sales. The social experience model here
is a mass collaboration with swarm leadership and combative aggregation. (if
this doesn’t make sense to you, please read my book).
Unconfirmed, but did the jargon term “w00t” originate from
“iwoot” = “I want one of those”? See http://www.iwantoneofthose.comwhich is not this above model, and closer to what
is now “traditional” online retail, purchasing with ratings and comments. Or is
it a derivative, if I remember right, of the “woof, woof” sound made popular
back in the 1990s by the Arsenio Hall show.
is another form of social computing applied to coupons for services within your
city (again mostly in the US). Essentially, it takes the woot model to a new
level, requiring people to invite enough members to qualify for the coupon. The
time limit is again one day only, and it is specific to a city. So, if a user
really likes the coupon promotion, they may need to try to get their friends or
others of like interest to also vote for the promotion, or just wait to see if enough
people from their city vote, before they can even take advantage of it.
Here, the social experience is not entirely a mass
collaboration like woot, because people do not necessarily work entirely
independent of each other. It allows two choices: you can bring your friends as
a small community to vote and get the coupon, or you can vote and hope that
others join in. In other words, it’s a hybrid of a mass collaboration and a
community. The leadership effects are also swarm-like, with no single person in
charge and each person making their own choices (typically to vote positively
for the item). However, this is not combative but consensus aggregation.
I've finally had a chance to read Malcolm Gladwell's book Outliers today. As with his previous books, he tends to border on sensationalism focuses on events which may possibly be rare outcomes but wrapping it in a story. The impact here is that he is a great storyteller, but his stories may not necessarily be correct. I can't substantiate that irrefutably but I don't need to.
For example, one chapter focuses on birthdate year as an influential factor describing a host of folks in the computer industry who have gone on to be hugely successful. But at first depoints out that SOME of these folks may have had a series of lucky breaks (e.g. Bill Gates) that gave them an advantage, most not related to their age but to their connections. Then with some quick wave of the hand, he points back to the birthdate year being the summary of the chapter. Okay, what happened there?
Patterns may exist (same location, same birthdate, etc.) but it is a combination of these factors that contribute to success. For that matter, it doesn't qualify if one particular of these factors is a bigger contributor.
He's still a great storyteller and uncovers unusual tales, but from what he has in his books alone, it's hard to tell if what he describes is really is true, or just makes for interesting entertainment. That aside, he has still achieved business star status which can direct people to think that way.
Lee Provoost’s post, “Adopting Enterprise 2.0 in large organisations: Fiat or Ferrari?” talks about how people can start with smaller
cars like a Fiat and eventually upgrade if need be to a Ferrari, rather than
wait decades of riding public transportation until they save enough for their
top car. I don’t see the entire negative with public transportation but when it
comes to social software, this ignores a large problem: migrating from one
social software system to another is a lot more complicated than just replacing
the tool itself.
Having seen first-hand several generations of social tools
in our company, and trying to get people to migrate from one existing
environment to a new one, it takes a bit of work to get people to switch to the
new system. A better analogy than cars may be “transportation networks”. In the
US, think about asking people to stop driving and using trains instead.
First of all, change is hard: people become used to certain
features and know how to work it quickly. Unless the new social tool has the exact
same features handled exactly the same, it means new learning, often new
terminology, and trial and error.
Social tools also don’t always make it easy to migrate from
one system to another. So you may also need to reenter your profile
information, preferences, and generally reinstate what you may have already had
People place a lot of content and context into their social
environment, and unless that is all migrated with them too, they may see it as “loosing
their standing in that social environment.” For some this is in the form of
rankings; for others useful or valuable content that they left behind. New
social environments don’t need to start at zero but more often than not, they
are not fully compatible with the old ones or provide different tools and
require different fields; thus, migration is not a simple prospect of
Finally, a new system should probably not only perform better,
but all them to interact in better ways. This also means new features to ask
people to try out. The power of the new social tool may be in those new
features but in maintaining the status quo, many users will keep using what
they know, until enough people have adopted the new features.
These are just a few basic reasons in adoption that make it
difficult to simply “level up” to a new social system. If you run a social
software system in your enterprise, you should certainly not treat it like just buying a new car.
The book has progressed and transformed significantly over the past year. I've probably rewritten the contents three to four times already, either shifting large sections to bring related ideas together, towards a business focus (requiring less prior technical knowledge), and in a more cohesive concept.
The draft chapters all go up onto the Roughcuts section of Safari Books. What's confusing is that the latest information is in there but only to registered members, and the free information you see up front is several drafts old. So, I'm including the ToC here: