London Knowledge Lab: Social Software

October 7, 2006

Interesting resonances with our workshop series

Filed under: Learning, Reflections, communities-of-practice — Mark van Harmelen @ 4:23 pm

I chanced upon Online Course Design from a Communities-of-Practice Perspective (John Smith and Beverley Trayner) in eLearn Magazine. (The title is a slight misnomer, in the authors’ practice, there are also face-to-face meetings.) As I was reading the article I found myself picking up on various points that the authors make and on the phases of community development that they describe. To me, these points and phases resonated with what we experienced, both as individuals and as a group, and how we informally evolved our learning practice.

In the article, the authors provide several ‘heuristics’ which characterise different phases of community engagement, from inception to conclusion. They choose the word ‘heuristics’ carefully, to characterise events and to indicate “the ongoing tension and contradiction” between their interpretations and that that is interpreted.

Bullet renditions of the phases, which may be repeated, are:

  • Getting into the online space
  • Finding your way: asynchronous discussions
  • Experiencing a new kind of community
  • Engaging in a larger social space
  • Anticipating face-to-face engagement
  • Meeting individuals face-to-face
  • Participating in groups face-to-face
  • Framing one’s experience in a new context provided by the group
  • Diaspora: Moving back to the online space
  • Online closing or transition

The authors also provide some conclusions for education and development of (largely) online Communities of Practice, the headings to their recommendations are:

  • Design for learning using CPD model is productive.
  • Spending time on social processes.
  • Using different media to negotiate language as part of a larger process.
  • Creating new possibilities: subgroups and outside experts as resources.
  • Demonstration of leadership roles in different media.
  • Provoking shifts in “comfort zones.”

Some of these titles are a little less explanatory than those in the first list. I won’t describe further, but instead recommend that you read the original.

September 14, 2006

design faults in democracy?

Filed under: Digg, Reflections, Web 2.0 — yishaym @ 8:34 am

Muhammad Saleem has a very perceptive article on the Wisdom of Crowds and why it fails on Digg.

September 1, 2006

Honey, where did you put the cat’s RSS?

Filed under: Blog, Reflections, Web 2.0 — yishaym @ 2:39 am

Web-too-oh: Wondermark sums it up.

read more | digg story

June 22, 2006

Social Software Technology Comparison Table (from Tim)

Filed under: Blog, Reflections, Social-Bookmarking — yishaym @ 3:38 pm

Hi all,

at the last session, I promised to post a blog entry with something related to
the Comparison Table in the wiki. Well, I prefer email at the moment (can't
sort out my WordPress account):

In our comparison table, the technologies are all listed under the umbrella
term "social software". I am having my difficulties with that term – its definition
is quite muddy, probably because it's currently very fashionable and "sexy".
However, I am not even sure what is actually so "social" about some of the
technologies in our list, for example RSS feeds. Are "sharing" and "linking"
sufficient qualifiers for "social"? That would be a bit shallow.

There has been an attempt at categorising "Technologies of Cooperation", and
here, social software is just one of eight categories – interestingly, Wikis,
RSS and Social Bookmarking are NOT in the social software category! If you
have time, have a look at the following map, which goes far beyond our table,
but provides lots of fantastic food for thought, highlighting some issues from
interesting angles (more technology- rather than sociology-oriented) and
helping a great deal with definitions of terms. It's here:

Technologies of Cooperation Map:
http://www.rheingold.com/cooperation/Tech_of_cooperation_map.jpg
Technologies of Cooperation Report:
http://www.rheingold.com/cooperation/Technology_of_cooperation.pdf
Info about Cooperation Commons:
http://www.cooperationcommons.com/

Have a good 4th session!
Tim

P.S.: I actually forgot where I had stored these links – and found them through
Google in my own Learning Technologies Unit blog…duh!

June 8, 2006

The dark side

Filed under: Identity, Reflections, Semantics, Tagging — yishaym @ 11:37 pm

The new scientist warns us that the NSA is working on ways to harvest intelligence from social networks. Which brings me backto Mika's paper, but with a new, and dark, perspective. Knowledge mining in so-so can generate semantic networks, but as Mika shows it is also powerful at mapping people to ideas. I always thought of this as a good thing – it will allow like-minded people to connect, and form focused cells of creative activity. Well, that just shows how naive I am. Of course, it will also allow like minded bad people to connect and think of clever ways of being bad. It will also allow people who think its there business to know what everyone else is thinking about and tell them to stop to be more efficient about their job.

What can we do about it? not much, probably, other than make sure we live in a strong democracy. And I mean strong.

Since you can't stop governments from knowing everything about you, your only protection is to demand that you know everything about them.

May 30, 2006

Collective Intelligence: some theories

Filed under: Blog, Learning, Memory, Readings, Reflections, Research, Review, Uncategorized — giota @ 5:08 pm

This week I will present a brief overview of Pierre Levy's theories on collective intelligence.

One of the most influential theorists of Cyberculture, Pierre Lévy offers a metaphorical conceptualization and posthumanistist theorizing of cyberspace to argue for a new relationship between technology and knowledge. His view on collective intelligence allows the cultivation of a mutually developed and enhanced knowledge space through social interaction and associatiative cognitive exchanges. Lévy’s ‘information utopia’ can be nspiring for grasping the cultural ethic of open source movements and social software we have been discussing in the seminars. But as much as such approaches enlighten some elements of the cultural interfaces of the Web, they also obscure, I would like to argue, the clear relationship between the Web, digital knowledge forms and the rest of the industrial society. I will try to combine some of our reflections on the definition and classification of social software with some of my research findings from online encyclopaedias (including wikipedia).

May 26, 2006

Wiki Building

Filed under: Blog, Reflections, Spaces, Wikis — wilmaclark @ 10:21 pm

I just built my first Wiki by myself… feels good. It was a good exercise to do as it has really helped me to better understand the purpose of a Wiki as a site for knowledge collaboration. It wasn’t until I had to grasp the overall structure of the site, and to design instructions for others on how to use it that I really began to understand how the Wiki works. I’m still working on it and still learning, but getting there.

I’m feeling more confident about Wiki use and about the potential use I could make of it in a school setting (Lyndsay’s case study on wiki use in schools helped a lot there – thanks Lyndsay).

I also like the shape the LKL Wiki is taking on… I think we’re making good progress. It’s good to see that most of us have now contributed something, and said a little about ourselves and our interests in the project and the HowTo and WhatIs pages are giving it more of a ‘knowledge-building’ feel, I think.

When I began building the PBWiki for Mirandanet, I was struck by some questions that came to me as I began to generate a skeleton structure:

  • What does the Wiki need to do?
  • Who is the Wiki for?
  • What kind of knowledge will they have?
  • How will they use it?
  • Why will they use it?
  • What kind of structure is required?
  • What is the best/easiest/most aesthetic design?
  • Public of private?
  • Free or Pay
  • Content – what’s relevant and how to show it
  • Examples – how to show what users need to know
  • Getting users on board – how to share
  • Keeping progress safe – backup facilities
  • Linking – rss feeds, hyperlinks, search facilities
  • Tracking – tagging, keywords, recent changes, history
  • As I built the Wiki and wrestled with these ideas, and thought about the purpose of the Wiki and who would use it and what they would want to get from it – it finally dawned on me what the Wiki is and why it is different, more structured, than (say) something like this blog or a web page… it’s the collaborative nature of the thing… the whole point of the Wiki is that it’s not just shared (like a blog) – it’s (as Lyndsay suggested somewhere, I think)… a quasi-independent entity… it’s a thing-in-itself with a reason for being… it’s purpose of knowledge building… generates a space that is neither individual, nor collective but an amalgam of both… and separated from both… it becomes like a ‘cultural’ collective space, if you like… still fuzzy, that notion, but I’ll keep on thinking.

    It’s like (for me) the blog is a discussion space, a meeting place… where we all keep our individual identities (and separated -as opposed to separate because in a way they interlink, through comments and temporal hierarchical positioning – narratives) whereas the Wiki is, not so much a ‘thinking’ space as a place of ‘established’ narratives – of community generated concepts (as in Mika’s piece). There’s a collaborative ‘will’ in the construction of knowledge in that space… towards a shared goal – the codification of an evolving structure into an emergent set of communal values (or ontology). Hmm, interesting, I seem to have come full circle tonight.

    Mika’s Ontologies

    Filed under: Course resources, Learning, Readings, Reflections, Semantics — wilmaclark @ 9:31 pm

    I finally managed to grab some time to read Mika’s article and found it very interesting – not in a mathematical sense, but maybe in more of a ’social science’ sense.

    I liked the notion of a tripartite model of actors-concepts-instances. This move from the bipartite model (concept-social) to include the ternary element of ‘actor’ or ‘agency’ is interesting. It kind of mirrors something I’ve come across in my own research into cultural semiotics where, in moving from notions of binary opposition in meaning generation, the idea of a ternary system is introduced, the third element being the process of interaction… whether social or otherwise. It seems to me that in a triangulation of elements, a certain notion of balance emerges – perhaps that’s because the ‘thirdspace’ situates or anchors the propositional knowledge? So, in this way… the introduction of the ‘actor’ by Mika lends itself to his later elaboration of ’semantic identity’ being something that emerges from a community network or collaborative group, for example in the production of ‘tags’.

    The functionality of a ‘group’, as it were, automatically ‘frames’ their thinking (tagging) and collective memory (Mika’s ‘agreed upon terms’) and this, of itself, helps to categorise the apparently ‘loosely’ defined tags generated by the members of the community. So that, if you like, even though each individual makes an individual choice as to which tags to use, the tags are used within a ‘visualised set’ belonging to the group (Mika’s ‘concensus’), which makes them less problematical as identifiers because the element of randomness is thus lessened.

    I was intrigued by Mika’s raising of temporality as a problem in concept definition… (his ‘ontology drift’) but, for myself, saw this as a natural part of the evolving semantic map and not as problematic as he suggests as, surely, there are causal links which tie new concepts back to old ones, even as communities change and evolve? Knowledge may be ‘codified’ as Mika suggests, but must codification always signify something which is fixed?

    I liked Mika’s vision of a dynamic ontology as a ‘community of self-organising, autonomous, networked and localized agents… establishing connections and negotiating meaning only when it becomes necessary for co-operation’. He suggests that there is a lack of an abstract model for such a system but, actually, it seems to me that this ties into Yuri Lotman’s concept of semiosphere (forgive me for plugging my own research interests here). That said, Lotman’s semiosphere is demarcated as an abstract model for meaning making/meaning generation, whereas Mika’s interests seem to lie in connectivity of concepts for meaning making. Both, however, envisage meaning made on multiple levels and as multilayered.

    Mika points out the lack of ‘one-to-one correspondence’ in keywords generated by individuals when tagging… however, although not explicitly stated… the notion of ‘many-to-many correspondence’ seems somehow appealing in the context of tagging and folksonomies.

    I really liked his explanation of the relationship between user, object and concept and the notion of ternary associations. Forgetting the maths and the fancy language – lovely word ‘hypergraph’ but don’t they block the way sometimes? and just fixing on the concepts, I liked the idea that the combination of these three produces a ‘higher level’ concept that is accessible in different ways, so that, even where tags are non-identical, some overlap in conceptual framing at this ‘higher level’ may bring them together into one category – so, where two might not meet, three have the potential to do so… (thanks for the nice graphs, Yish). I did chuckle a little at the understatement:

    Tripartite graphs and hyperedges are rather cumbersome to understand and work with. (Uhuh!)

    How I summarised the rest… take two people who share an object, expressing its value with different tags… the object’s defining potential is multiplied by two… and so on. For me, I ignored the hyperedges and affiliations and instead pictured an ever-growing spirograph, growing rapidly more dense at different nodes around a central point (actor or object) – equivalent to the weighting/filtering properties of the ‘affiliation network’ – well, it kind of works for me and makes for interesting reflection. The idea of ‘overlap’ in conceptual framing generating an emerging semantic network seems eminently feasilbe (and somehow sensible) to me.

    Skipping along, some other things I picked up on and which interested me:

    - the notion of observing tagging behaviour to determine the kinds of meanings they generate – whether collectively or individually
    - reflecting on the idea of a ‘collective mind set’
    - the ‘well-known law of community formation’

    I really like this: “interaction creates similarity, while similarity creates interaction” – I think it’s a nice phrase to link to the whole idea of social networking, although I’m curious as to the scope of the notion of ’similarity’ and what this might engender in terms of collaborative or communal interactions. It also kind of brings up the question of ‘the chicken or the egg’ and which comes first. Something worth thinking on, just the same.

    Some quick notes without too much reflection (from later sections):

  • social bookmarking: link, describe, tag (keyword) and share
  • bookmarks: searchable, affiliated, associated, temporally situated
  • issues: synonyms, ambiguity, generalisation
  • community: core interests, clustering, evolving, correlations
  • folksonomy: tagging, keyword associations, community ontologies
  • Finally, the comparison of ‘object’ (say, search engine) and ‘actor’ in terms of effectiveness as meaning negotiators had me thinking (and I’m still thinking)… when I read this:

    Overlapping communities turn out to be a stronger link than overlapping sets of web pages. A possible explanation is that even after including the disambiguating term in the query, the search engine still suffers from knowing too much, blurring away community-specific interpretation.

    The idea of a search engine ‘knowing too much’ made me smile… sure had that ‘glut’ problem myself. Quite apart from the fact that a community has more consciousness (by virtue of its members) – the idea of the ‘overlap’ between communities generation meaning in and of itself is an interesting one. I’m wondering about the point of intersection and the ‘zone’ where meaning is made in such a case… which kind of ties in with Lotman’s notion of ‘explosion’ and the idea that where two apparently correlating actors and concepts interact… meaning is self-generating at some level but not necessarily immediately perceived… I’m wondering whether Mika’s interpretation of the interpretative impact of overlapping communities is similar to Lotman.

    May 18, 2006

    I’m a social scientist. get me out of here!

    Filed under: Readings, Reflections, Social-Bookmarking, Tagging — yishaym @ 2:11 am

    I suspect some of may have found the use of matrix arithmetic and graph theory in this week's paper a bit overwhelming. I still think its a paper worth reading. First, its good to know that there's more to Matrixes than Morpheus. Second, its interesting to see how people are trying to fit formal models to intuitions.

    So lets focus on the intuitions. As a first aid measure, try applying masking tape (preferably purple) to every paragraph that has squigly brackets, and see how it's already become more friendly.

    Now lets talk about hypergraphs. This here picture shows Actors (AKA users or plain people), instances (AKA resources, documents or web pages) and concepts (AKA words, tags, categories).

    When a person tags a page, she creates a triparty relationship between person, tag and page. Mika calls this a hyperedge. I draw a triangle.

    When many people do the same to many pages with many tags, you get what Mika calls a hypergraph, and would probably be refered to in plain English as a 'pretty big mess' (not to be confused with a mesh).

    So what do mathematicians do with big messy problems? They find a way to break them down to many small less messy problems. In the case at hand, we do so by looking only at one type of connection at a time, say the dotted lines (tag – page) and measuring it along another (say number of persons). So, we get nice and simple graphs that connect only tags (concepts) by counting the number of things they have in common. For example, if a lot of pages are tagged 'sex' and 'table' we induce there's a semantic connection between the two.

    As Mika explains:

    In words, the bipartite graph AC links the persons to the concepts that they have used for tagging at least one object. Each link is weighted by the number oftimes the person has used that concept as a tag. This kind of graph is known in the social network analysis literature as an afiliation network [7], linking people to affliations with weights corresponding to the strength of the afiliation. An afiliation network can be used to generate two simple, weighted graphs (onemodenetworks) showing the similarities between actors and events, respectively. (At this point it is recommended to dichotomize the graph by applying somethreshold.)

    In summary, the AC graph, the a±liation network of people and concepts can be folded into two graphs: a social network of users based on overlappingsets of objects and a lightweight ontology of concepts based on overlapping setsof communities. Thus in this simple model, social networks and semantics are just flip-sides of the same coin: the original bipartite graph contains all theinformation to generate these networks, while it it not possible to re-generatethe original graph from them.

    Mika compares two ontologies (= networks of concepts) derived in this process. One links concepts by the number of people who use them together, the other by the number of pages they are mutualy associated with. It turns out that looking at peopls (communities) is a better way to discover semantic relationships than looking at objects. In other words, the same resource means different things to different people, but people in the same community share a common set of meanings.

    Well, I think Wenger and Lave would be pleased to hear this.

    But there are other networks that can be derived. By fixing the concepts, we can plot the potential social relationships, common interests or implicit communities. Which brings us back to Lyndsay's point. If a tagging system wants to survive its own growth, perhaps it should make these networks explict. For example, identify clusters, show them to me, and show prioretize resources tagged by people who share my social cluster.

    May 17, 2006

    Learning communities?

    Filed under: Learning, Reflections, Social-Bookmarking — lyndsayg @ 4:43 pm

    It seems that we hear a lot of talk about learning communities, especially in relation to social software.

    But what does it really mean? Critical mass, as discussed in last week's paper, is necessary in order for many social softwares to be useful and successful. But as the user base becomes wider and more diverse, can it still operate as a learning community? For example, as del.icio.us grew, early users became disengaged as their previously cohesive community diversified and they could not always guarantee to find the latest niche programming information on the front page. There seems to be a tension between similarity and diversity. A group who are too similar may not bring anything new, whereas a group who are too diverse may not have enough common ground to be able to share. I'm thinking particularly of social bookmarking and social networking here, although a case could also be made for blogs and high participation wikis. As user bases grow, become more mainstream and diverse, it seems likely that sub-communities will form within them (for example at a large scale the launch of MySpace UK catering to the different usage patterns in this country). Some of the hype around social democracy emerging from use of social software perhaps arises from the idea that we'll be communicating with diverse groups of people from outside of our immediate social communities – but how far is this likely to be true, or how far do people actually seek out communities that will validate our already held beliefs and positions? How, then do people find, enter and participate in learning communities in social software? 

    In this area, I found danah boyd's talk at e-tech on the collision of global and local cultures really interesting. It can be found here. (I'm not yet sure how to use Bibsonomy, so will try to add it up there after the session tomorrow.)

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