Which is the most successful network in history? | |
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Which network is most successful in history? (especially in the last two decades) May I start with SARS? http://www.abc.net.au/science/features/sars/default.htm
Or you may like to share your case. 1. What are the critical success factors in such a case/network? 2. What lessons can we learn from the case? 3. Can we transfer such learning to education? Or you organisation? 4. How could connectivism be applied in this case? 5. Add any questions that you would like to address....
If you prefer to discuss elsewhere, please consider your blog, or mine or wiki for further discussion. Here is my blog address:
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Hi Sui The case that Tim has put forward – species evolution- is unbeatable taking into account numbers of entities, scope and longevity. Just for the sake of argument I put into the discussion floor the FLASH Mobs . See for instance http://www.boingboing.net/2004/03/13/flashmobs-with-a-pur.html . On the other side of the measurements scale there are instantaneous, objectives are very palpable, they are a learning network because new participants are called to experiment the phenomena. Ever wonder what will happen if in a TV program at night when are taking dinner (family is gathered,) transmitting a political statement we were asked to switch off the lights on disagreements or approval of a proposed decision ? We just go to the windows and check the results . No depencies A Wink network ! This is happened before but I am having trouble finding a link to this event . Helena Ramos |
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Hi Helena, Interesting. So the not so successful network..relates to poor Response time Connections Pattern recognition Selector/switch/filter |
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I like the SARS analogy. Does that mean in connectivism, nodes of knowledge are discovered virally? |
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Hi Jon, Interesting idea. Thanks for your good question. My answer is "not sure". I didn't intend to use knowledge to equate to virus. But it may be of interest to compare the distribution of knowledge in networks with the spread of virus in human. In SARS case, I believe that certain knowledge is distributed in the network. May I borrow George's concept on knowledge under connectivism? The development of specific skills and mindsets of medical practitioners, researchers, educators, and patients, government officials (and evern everyone) becomes as critical as, or even more so, than the possession of existing knowledge. The ability to continue to learn and develop new knowledge replaces the importance of existing knowledge, or, what is known today is less important than the capacity to continue to know more....adapted from George, 2008. (see http://elearnspace.org/Articles/systemic_impact.htm) And so the emphasis is on the distribution of knowledge rather than the traditional acquisition of knowledge of individuals. I hope we could see SARS as a learning lesson for us, rather than just a disaster or epidemic. George's paper cited above stimulated me to ask:
You are welcome to visit my blog for further details and discussion: http://suifaijohnmak.wordpress.com |
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Thanks Tom, I like your idea on this. I found it fascinating... I am thinking about the attitudes (likes/dislikes), and affective domains (emotions such as feelings of love, hatred, joy, fear etc.) that are distributed or communicated (through tones, words, images and emo-icons) in networks. Another aspects of virus is that it may change its form and severity when transmitted or contracted, which seems to exhibit some similarities to the changes in knowledge, emotions and feelings amongst people in a social network.... Would a comparison study on the spread of virus and distribution of knowledge and emotions help us in understanding more about network learning? Has there been any study on this? Would you like to discuss this further in the general forum? Any suggestions? My blog: http://suifaijohnmak.wordpress.com |
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| The idea of ideas spreading through a population is covered rather well by the theory of memes, introduced by Richard Dawkins in The Selfish Gene. |
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Pat, Many thanks on this. Please find following links for details. http://en.wikipedia.org/wiki/Meme
http://plato.stanford.edu/entries/replication/
http://plato.stanford.edu/entries/evolution-cultural/
Cheers. |
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John, I hesitate to get into this one, much though I really like the questions you are asking. And I am a geat fan of the SARS example, partly because I know a few people who work in WHO, and the success of the SARS network was a huge surprise for them, and should have been a huge lesson, although I dont know if the day to day working of WHO has changed at all. The reason I hesitate is that I think the most spectacular example of a network is the one behind 9/11. It got under everyone's radar screens, even though it was quite visible in bits and pieces - no one saw it as a network. That might have been just because it was so unexpected, diabolical, etc... Or it might have been because we were looking in the wrong paradigm box, i.e. what Knorr-Cetina analyses as a Weberian paradigm, instead of a complex-adaptive one, or a network of a special kind one, which she calls "global micro-structures". She applies the same analysis to financial markets, with equal insight. So, back to your excellent questions: I would add another: How do we go about looking for the best/ most spectacular/ most useful etc networks - where do we stand, on the shoulders of which paradigm/s (to mash a metaphor)? Or: how would we recognise a really Good /Bad network at 100 paces in the dark? And a derivative: Once we do 'see' a powerful network, what do we do about it? Say, "Wow, that's amazing" and go back to our old routines, or do we engage the beasts of bureaucracy (with their Weberian legacies), and does anyone have any stories that illustrate success in doing so? More simply: (how) do we learn from excellent networks? |
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Hi Roy, Thanks for your great ideas. Any one in our "huge network"...who would like to share? |
Re: Can a network be a node? | |
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Hi Sui Fai, This is a fascinating subject that had already got me doing some preliminary investigations at Behaviourism Redux in the General forum. The domains you mention have well established set of descriptions, theories and laws that explain the phenomena in each of the specific domains. In practice it is often to difficult and complicated to try and use the facts from one domain to explain the phenomena of a different domain. This has lead to the establishment of separate and independent areas of knowledge about each of the domains. These two key documents More is Different (1MB pdf) and More is Realy Different suggest that even on a theoretical level we can't fully explain how a complex system works just by studying its components. One conclusion from this is that the domains we are talking about are actually disconnected and we can only understand them by treating them as unique and separate areas of study. Another conclusion is that while the properties of the nodes in a network can't account for all the properties of the network, the converse is also true that the properties of the network can't account for all the properties of it's nodes. |
Re: How well are you sited? | |
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AIisa, I too use ANT in my work, particularly my current research into learning, which focuses on description, in line with Latour's claim that if you get the description right, rich and detailed, the rest will follow. As someone trained in analysis, I found this strange, but the more I apply it, the more it makes sense. I really like Latour's work, although I am a bit critical of some of his later stuff (Politics of Nature) as in this paper. More the the point - I first started using Latour's work after reading his piece on Einstein's theory of relativity. What struck me was that a sociological approach to discourse (as in critical discourse theory a la Foucault) is very much in line with what Latour was saying. To wit: I defined discourse as "a systems of signs that orders texts and bodies, both material and animate, within a particular community of practitioners" - which takes into account the full range of Barthes' semiotics, from language to fashion to highways. More specifically, one's position and leverage within a discourse, and discourse community, is dependent on how well you can 'see' through Latour's frames, or social spaces, each of which is linked by referencing and 'citing'. This, in the spirit of Latour's style, led me the conclusion that your ability to exercise power within a discourse community depends on how well "sighted, sited, an cited" you are. Or more prosaically, one might say it depends on how transparent the system of frames is. That has implications because there is, as you say, no such thing as a network in which "what 'adds up' would always be the same from any direction in such a network", because there is no place 'outside' of discourse from which you could exercise such a priviledge 'sighting/siting', and each node in a network gives you a different, unequal, and unequivalent 'site' from which you can see, access, and interact with the rest of the network. To paraphrase what I think you are saying, there is no metaphysical 'site' which would unentangle us from the ontology and ethics of the particular site/sight we occupy (albeit that the site is a node in many networks simultaneously), or from the politics of the discourses that exclude, include or patronise us. To argue the contrary is politically, ethically and epistemologically unsound. Do have a link to Mol's work? Sounds interesting. |
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| Ailsa, ta. I'll take a look. |
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Ailsa, thanks for the link. Annemarie Mol's article is simple and thought provoking - an enviable quality! Her distinction between 'treatment' and 'care' in clinical (trial) research, and the distinction between the effectiveness of 'medical interventions' and 'improving the lived experience of health' is really insightful. Wow. To wit:
So, how does this link back (connect?) to connectivism? (Let me count the ways ...) As a designer of learning spaces, or learning ecologies, but definitely not a 'learning designer' (we have to kill that one), this fascinates me. I will try to approach this from a 'connectivist' perspective, rather than a 'discourse theory' perspective (which is my default mode), so here goes ... 1. It strikes me that Annemarie's distinction applies more widely, i.e. she is differentiating her position from a narrow (materialist, 'independent variable' approach), one which defines the problem in a restricted version of 'empiricism' - 'positivist science' if you like. 2. Quite literally, she is emphasising that the broader context matters, and should matter enough to define the nature of health care, as apposed to pathology management (or symptom management if you are more cynical). 3. More than that, she is proposing a shift in the framework (aside: its really a social and professional mode of 'discourse' !!) within which we 'do' health care, and within which we carry out research - or at the least, she is saying that we need to 'add' this mode of research. 4. 'Self-reflection' is interesting too: she elaborates that this is about being more aware of, and paying more attention to, not only what is 'going well' but what 'could be made to go better'. So ? a. The way we do research could remain empirical, but nevertheless 'connect' the social and the material, including the lived experience of the subject. b. The way we observe, name, categorise, analyse and define prognoses and interventions could also 'connect' more broadly - we could shift our epistemology (not to mention discourse) beyond the materialist isolated variables (in the uncomplimentary sense of 'isolated' that is). c. This would loop us back very usefully to what I think is common ground between Stephen, George and Bruno (Latour), i.e. that networks consist of animate and inanimate nodes/ elements, and the choices we make when we adopt an inclusive or disjunctive approach to the provision of:
these all matter, both epistemologially and ethically. d. For my own research, this links back to using 'nested narratives' to create the space for people learning to become professionals to explore and articulate their own experience, learning and identity, in a way that supports this kind of self-reflection, at an implicitly meta-analysis level. e. This process of exploring some thoughts, and connecting with all these people, texts, and dare I say it, thoughts in 'this' space is of course an interesting case study of 'connectivism' in itself, no? Rich food for thought. And its not true that "a network is a network is a network". |
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Ailsa, thanks, it looks good. I will read, digest and respond. An equally challenging piece on design and cities is Czarniawsha's response to Tarde (who I still find a bit obtuse), which I responded to here might be of interest. |
Re: Can a network be a node? | |
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> Stephen says "connectivism is a theory of computation". Connectionism is a theory of computation. Different word. |
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Ooooops! Apologies. |
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thanks for clarifying, makes you a good person At least in my subjective reality |
Re: Which is the most successful network in history? | |
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There's an article called "Learning from Sars" on the Public Health Agency of Canada website http://www.phac-aspc.gc.ca/publicat/sars-sras/naylor/index-eng.php Go to the A-Z Index for the Site to find additional articles on SARS Here's the explanation for the section about what went wrong in IT. 2D.1 Information Technology and Data SharingOn April 1, 2003, Dr. Ian Johnson, a professor and epidemiologist at the University of Toronto, was seconded to the OMHLTC to establish a SARS surveillance system. He had formerly served as associate medical officer of health for North York. Upon his arrival, Dr. Johnson immediately noted insufficient physical and human resources. Dr. Johnson later told the Committee that reporting structures were unclear, and the head office of the Public Health Branch was simply unable to provide optimal support for outbreak investigation and management. There were also frequent requests for data for the provincial government's daily press conferences. Dr. Johnson characterized the province's infectious disease tracking and outbreak management software as "an archaic DOS platform used in the late eighties that could not be adapted for SARS." Several other key informants echoed this sentiment. In 2000, the Ontario Public Health Branch had led a process that developed a five-year plan to upgrade information technology, but it was not approved for funding. This outdated software platform was assessed, and rapidly rejected by Toronto Public Health as unsuitable for the SARS outbreak. Toronto Public Health developed new software tools to deal with tracking cases and contacts; other local health units eventually followed suit as the outbreak spread. However, individual files for cases and contacts were maintained on paper charts that included colour-coded Post-It notes. Dr. Sheela Basrur, the city's chief medical officer of health, later commented that Toronto was using nineteenth century tools to fight a twenty-first century disease. Several interviewees reported that data handling protocols were variously unclear or non-existent. Developing them during the SARS outbreak proved to be time-consuming and frustrating. One interviewee described the situation as "a turf war" on multiple levels. Offers of assistance from academic clinicians were rejected; infectious disease specialists and hospital epidemiologists set up a separate data system for clinical management and institutional infection control. Health Canada officials were concerned that the Public Health Branch of the OMHLTC was, in the words of one informant, "completely overwhelmed". The Committee later learned that the personnel and infrastructure supporting Chief Medical Officers of Health are thin in several provinces. |
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CERN Computer Grid Links 7,000 scientists: http://www.newsdaily.com/stories/tre492592-us-cern/ "When it starts up again next year, physicists involved in the experiment will have access to real-time data on their desktops, thanks to CERN's computing grid that links more than 100,000 processors at 140 institutes around the world." I don't understand the significance of studying all those colliding protons. Should we be excited about this and why? Which is more significant - the experiment itself or having the ability to link all these processors and have data instantaneously fed to such a large number of scientists around the world? |
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| I like to think of it as 'engaging the learner'. |
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Bradley, partly, I sympathise But ... surely bait is just for fishes? |
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Roy, Not sure what your "surely bait is just for fishes?" metaphor meant? Does it mean Catherine was trying to invoke a response? Am I a fish? |
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| Fish can eat the bait or get caught in nets, I suppose...ecologically in the food chain, bigger fish feed on smaller fish. |
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Roy, I agree it is hard to write without using metaphors as we learned in week 1 or 2. Since I have been trained to write for international English to aid translation, I learned long ago to not write in methaphors. Now casual verbal conversation is another thing but sometimes my wife doesn't get me As for "lateral thinking", why do we need to put a adjective in front of thinking. Why can't we just call it thinking? Who cares if it is lateral, rational, positivist, etc (See here for more types). If someone needs to ask what kind of thinking I am doing, am I in trouble? Is my thinking incomplete? I thought I was just thinking. Now if I do somehting incredible stupid, go out out of scope, etc, I think someone has the right to ask "what was I thinking?" menaing I hadn't thought things through. Can you put a label on that? Incomplete thinking or rash thinking? |
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Catherine, neat. Reading the history of networking introductory doc., it struck me that language is the most spectacular networking medium, and maybe (contrary to your light-touch ironical critique) language could be called the prime network (as in prime number?). But no, the network, for/of learning, must be a network of people and objects, but not just objects (with deference and apologies to Latour on Actor Network Theory). In other words, a network of people as opposed to: a network of organisms (of your choice) which is a network for/of (complex) adaptive behaviour. So ... adaptive behaviour is a subset and phylogenetic precursor of learning. Or: learning is a later ecological development, subsequent to adaptive (networked) behaviour, which it then subsumes. Sorry for the layers, its just my 'big picture' tendencies. If we are going to ccnnect the neurons to the learning theory, I need to keep phylogenesis firmly in view. |
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Oh Catherine, you are way too easy a target and love to bite! Thank you for laughs! |
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Nowadays, Wikipedia, which is (in Jimmy Wales' words), the Red Cross of information. A more ancient network would be the Inca Trail, a network of roads. The quipu or khipu , the knotted string communication system that stored and provided communication within it. What are the critical success factors in such a case/network? |
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What a beautiful road Barbara. It's a great feeling of connection with the past to stand on an ancient road. Here is a picture of the Roman Road on Wheeldale Moor in North Yorkshire, England http://www.flickr.com/photos/rs1979/2115796423/. Even when you can't see the actual stones, you can see the impressive mark the original road made on the land with a key road like the Fosse Way see http://en.wikipedia.org/wiki/Fosse_Way |
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HI Frances and Barbara, Your examples of ancient roadways put me in mind of Michel Foucaults The Archaeology of Knowledge. It's fascinating how the Inca trail and the Roman road in the photo have direct physical, social, psychological and economic effects on people today. These pathways have a direct impact on any buildings or monuments in their vicinity. This can be seen most directly where these roads pass through towns and cities. The original road and ancient monuments built beside them have long since vanished but the patterns of today's streets and buildings still reflects their ancient layout. How many modern shopping high-street map these ancient paths? My understanding of Foucault is that he opens knowledge up to these archaeological techniques by making it tangible by studying knowledge in the form of written statements. My reading of this work is that he investigates how these statements are formed, how they are transformed, how they are related to each other and what the consequences are of taking this physical view of knowledge. As I understand it one consequence is that like modern towns our current system of thoughts have been mapped by ancient paths of knowledge. |
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Tangible knowledge in landscapes and texts - I like that. With treading and building, we can reinforce or try to obliterate ancient networks (that may be revealed later by archaeologists). When driving along a straight road like this http://en.wikipedia.org/wiki/Image:Fosse_way_from_brinklow_castle_6y07.JPG I always look at the map to see if there is a clue to its origin. It's probably not so noticeable in countries where the roads tend to be straight anyway. |
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Your comments and pointers made me navigate a bit on the topic and I have just come across a long but very interesting paper from the Journal of Social Archaeology called Networks of History and Memory by Neill J. Wallis. It can be downloaded from Sage. I wonder how our present spaces (blogs, wikis, collaborative portals) will incorporate histories/memories, which landscapes and records of social interaction will be preserved (and why) and what kind of system of reference we are building through these networks and connections we are trying to define. |
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I don't see why we need to privilege "voluntary". Commerce is ok. Commerce is what makes networks thrive...Somebody has to pay I never said it should be otherwise. A volunteer may or may not get paid or receive compensation for services rendered. The main difference I see between a volunteer and a salesman is the goal to be achieved and maybe the degree of involvement/engagement with the community they serve. Voluntary for me is exactly what it means originally "as in doing something out of ones own free will", proceeding from the will or from one's own choice or consent, unconstrained by interference , done by design or intention - which is, I believe what you also posit when you say: I don't wish to belong to any network or to have any connection I chose to make snatched up and declared "a network" for someone else to manipulate. As I write this, I realize how voluntary, which is so vital, is yet another concept that has been defiled and depreciated. To whose profit and benefit? |
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imagining that you or me or others have now become Jane, and is now trying to solve the problem.