The importance of hubs may have been overstated, say Kitsak and pals. “In contrast to common belief, the most influential spreaders in a social network do not correspond to the best connected people or to the most central people,” they say.

At first glance this seems somewhat counterintuitive but on reflection it makes perfect sense. Kitsak and co point out that there are various sceanrios in which well connected hubs have little influence over the spread of infromation. “For example, if a hub exists at the end of a branch at the periphery of a network, it will have a minimal impact in the spreading process through the core of the network.”

By contrast, “a less connected person who is strategically placed in the core of the network will have a significant effect that leads to dissemination through a large fraction of the population.”

✖ Via Technology Review: “Best Connected Individuals Are Not the Most Influential Spreaders in Social Networks”, Feb. 02, 2010

Read the original study conducted by Maksim Kitsak, Lazaros K. Gallos, Shlomo Havlin, Fredrik Liljeros, Lev Muchnik, H. Eugene Stanley and Hernan A. Makse : “Identifying influential spreaders in complex networks” (submited to Physics and Society on Jann 28, 2010).



• Apr 01, 2010 link notes tagged: communication  network  diffusion  dissemination  population  innovation  information  virus  leader  study  connexion 

Let us now consider what happens when you make the epistemological error of choosing the wrong unit: you end up with the species versus the other species around it or versus the environment in which it operates. Man against nature. You end up, in fact, with Kaneohe Bay polluted, Lake Erie a slimy green mess, and “Let’s build bigger atom bombs to kill off the next-door neighbors.” There is an ecology of bad ideas, just as there is an ecology of weeds, and it is characteristic of the system that basic error propagates itself. It branches out like a rooted parasite through the tissues of life, and everything get into a rather peculiar mess. When you narrow down your epistemology and act on the premise “What interests me is me, or my organization, or my species,” you chop off consideration of other loops of the loop structure. You decide that you want to get rid of the by-products of human life and that Lake Erie will be a good place to put them. You forget that the eco-mental system called Lake Erie is part of your wider eco-mental system - and that if Lake Erie is driven insane, its insanity is incorporated in the larger system of your thought and experience.
✖ Via Steps to an Ecology of Mind by Gregory Bateson, University of Chicago Press, [1972]2000, p. 491-492 [Google books preview]

• Mar 24, 2010 link notes tagged: communication  technology  mind  book  author  ecology  network  loser  lost  diffusion  contagion  junk  waste 
technology communication diffusion energy ocean tsunami earthquake disaster data visualization news
✖ Via National Oceanic and Atmospheric Administration: “Preliminary forecast model energy map” following Chile’s Feb 27th 2010 earthquake

Learn more about the NOAA on Wikipedia.

I first became aware of this forecast model via Boing Boing



• Feb 27, 2010 link notes tagged: technology  communication  diffusion  energy  ocean  tsunami  earthquake  disaster  data  visualization  news 
technology critic girls food diffusion health bw
✖ Via LIFE - Hosted by Google: “DTT sprayed from a TIFA” photo by George Silk, 1948, Jones Beach, NY, United States.
“DDT sprayed from a TIFA (Todd Insecticidal Fog Applicator) around model Kay Heffernon to supposedly demonstrate it won’t contaminate her food (a hot dog and coke)”

Learn more about dichlorodiphenyltrichloroethane on Wikipedia

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• Feb 18, 2010 link notes tagged: technology  critic  girls  food  diffusion  health  BW 

There’s a ticker on top of every page on YouTube that links to disaster relief via Oxfam. Not to be outdone, Google has created a disaster relief page, containing the most recent news about Haiti and information on its hospitals. You can easily donate to UNICEF and/or CARE, and SMS shortcodes are provided; text “HAITI” to 90999 to donate $10 to the Red Cross and text “YELE” to 501501 to donate $5 to Yele Haiti’s efforts.
✖ Via The Huffington Post: “The Web Is Flat — The World Responds To Haiti’s Earthquake Online” by Jose Antonio Vargas, Jan 13th, 2010.

So does Tumblr.



• Jan 14, 2010 link notes  [via] tagged: technology  communication  disaster  catastroph  Twitter  Tumblr  world  news  social  network  diffusion 

The finding, published in the December issue of the Journal of Personality and Social Psychology, suggests that loneliness is not a character trait, as in “that person is such a loner,” but more of a state such as hunger, which evolved as a cue to motivate our ancestors to go find food. “We’re fundamentally a social species so we need others with whom we can cooperate and work,” Cacioppo said. As such, loneliness may have been a cue to look out for anyone who might ostracize you, he added.
✖ Via LiveScience: “Loneliness Spreads Like a Virus” By Jeanna Bryner, Senior Writer, Dec. 1st, 2009.

• Jan 09, 2010 link notes  [via] tagged: communication  lost  alone  loneliness  science  social  human  life  society  diffusion  contagion  imitation  personality  illness  disorder 
communication technology contagion diffusion social society loneliness network theory book author sociology illustration illustrator visualization data design poster
✖ Via The New York Times: “Mood Rings” by Rumors

“FOR DECADES, SOCIOLOGISTS and philosophers have suspected that behaviors can be “contagious.” In the 1930s, the Austrian sociologist Jacob Moreno began to draw sociograms, little maps of who knew whom in friendship or workplace circles, and he discovered that the shape of social connection varied widely from person to person. Some were sociometric “stars,” picked by many others as a friend, while others were “isolates,” virtually friendless. In the 1940s and 1950s, social scientists began to analyze how the shape of a social network could affect people’s behavior; others examined the way information, gossip and opinion flowed through that network. One pioneer was Paul Lazarsfeld, a sociologist at Columbia University, who analyzed how a commercial product became popular; he argued it was a two-step process, in which highly connected people first absorbed the mass-media ads for a product and then mentioned the product to their many friends. (This concept later bloomed in the 1990s and in this decade with the rage for “buzz marketing” — the attempt to identify thought-leaders who would spread the word about a new product virally.) Lazarsfeld also studied how political opinions flowed through friendship circles; he would ask a group of friends to identify the most influential members of their group, then map out how a political view or support for a candidate spread through and around those individuals. […]

Obesity was only the beginning. Over the next year, the sociologist and the political scientist continued to analyze the Framingham data, finding more and more examples of contagious behavior. Smoking, they discovered, also appeared to spread socially — in fact, a friend taking up smoking increased your chance of lighting up by 36 percent, and if you had a three-degrees-removed friend who started smoking, you were 11 percent more likely to do the same. Drinking spread socially, as did happiness and even loneliness. And in each case one’s individual influence stretched out three degrees before it faded out. They termed this the “three degrees of influence” rule about human behavior: We are tied not just to those around us, but to others in a web that stretches farther than we know.” (“Are Your Friends Making You Fat?” by Clive Thomson, September 10, 2009). Surprisingly enough, there isn’t one mention of Everett Rogers nor of Gabriel Tarde in this article.

About Rumors (illustration): “Rumors is a multi-disciplinary, Brooklyn-based design studio founded in 2008 by Holly Gressley, Renda Morton, and Andy Pressman. The studio works closely with clients and collaborators to consider the logic, function, and aesthetic of each project.” (read more).

First discovered this illustration via Stüff Stuff.



• Jan 08, 2010 link notes  [via] tagged: communication  technology  contagion  diffusion  social  society  loneliness  network  theory  book  author  sociology  illustration  illustrator  visualization  data  design  poster 
communication technology design poster information data visualization virus human body infection diffusion epidemy death
✖ Via Information Is Beautiful: Fatal Infection by David McCandless (v1.0, Sep. 2009).

About David McCandless : “I’m David McCandless, a London-based author, writer and designer. I’ve written for The Guardian, Wired and others. I’m into anything strange and interesting.

These days I’m an independent visual & data journalist. My passion is for visualising information – facts, data, ideas, subjects, issues, statistics, questions – all with the minimum of words.

I’m interested in how designed information can help us understand the world, cut through BS and reveal hidden connections, patterns and stories underneath. Or, failing that, it can just look cool!” (read more)



• Sep 28, 2009 link notes  [via] tagged: communication  technology  design  poster  information  data  visualization  virus  human  body  infection  diffusion  epidemy  death 
communication technology ad network social diffusion theory innovation marketing author
✖ Via Vaseline – Prescribe The Nation: “Who prescribed whom?”

Ad campaign create by Craig Andrew Smith for Vaseline. It’s an interesting illustration of Everett Rogers’ revised theory about the importance of social network for the diffusion process: that is “the process by which an innovation is communicated through certain channels over time among the members of a social system” (Diffusion of Innovations, 3rd ed., 1983, p. 5).

Find out more about this ad campaign on Craig Andrew Smith website.



• Aug 22, 2009 link notes  [via] tagged: communication  technology  ad  network  social  diffusion  theory  innovation  marketing  author 

When did people find out? The distinction between respondents made above indicates the striking speed with which this news was disseminated-almost 9 in 10 knew of the events within 6o minutes after the first announcement. […] How did people first find out? Respondents were asked how they first found out the President had been shot and/or how they first found out the President was dead. All were informed by the broadcast media or by other persons. For the EK [Early Knowers], exactly 50 per cent were first informed by other persons. Their reaction was to use radio and television as a means of confirming what they had been told and to obtain further information; 84 per cent of the EK reported that they then heard of the death itself through radio or television. Among the LK [Late Knowers], who were slow in finding out about any aspect of the assassination, 68 per cent obtained their first information from another person. Their initial reaction also was to get to a radio or television set as quickly as possible for additional news. For both groups, the broadcast media were serving a supplementary or secondary role in the flow of information at the outset of the day’s events. […] In this instance, the principal first mode of diffusion was person-to-person communication. Relative access to other people and to the mass media makes one or the other more likely as a first source of information. Therefore, it is essential to examine the first source of information in terms of where the respondents were when they first heard.
✖ Via Bradley S. Greenberg, “Diffusion of News of the Kennedy Assassination”, Public Opinion Quarterly, vol. 28, no 2, pp. 225-232, Summer 1964. Full text available via subscription or proxy.

“almost 9 in 10 knew of the events within 6o minutes after the first [radio] announcement” : the media have changed (from radio to Internet) though it is doubtful that they became more efficient.



• Jun 27, 2009 link notes tagged: communication  technology  diffusion  science  event  media  technology 

A proper quote from me would probably have been something like: “The search string ‘Michael Jackson’ is getting intense interest on Twitter at the moment, showing up in between 13-20% of tweets. It’s unlikely this level of intensity will continue through the night, but at the moment, it exceeds the intensity I’ve seen on Twitter during slower-breaking stories like #swineflu, #pman and #IranElection.” That, unfortunately, is 337 characters - far too long for anyone to read anymore. And a clarification in the form of a blogpost? That’s so 2006.
✖ Via Ethan Zuckerman’s blog : “Twitter and the news cycle, perfect together”

About Ethan Zuckerman : “My main affiliation is with the Berkman Center for Internet and Society at Harvard Law School. Berkman is a remarkable institution - it’s a think tank for folks who effect change as well as study phenomena. A number of my favorite people in the world of technology and international development hang their hats there and, as a result, it’s a great place to explore activist and research ideas. I’m working on a number of projects there at the moment.” (Read more)



• Jun 26, 2009 link notes tagged: Twitter  communication  diffusion  technology 
communication diffusion technology pop culture tumblr
✖ Via Tumblr Trends: Jackson vs. Fawcett vs. Iran vs. Tranformers

This is to go along Infoneer recent post about the online diffusion of news related to Michael Jackson’s death.



• Jun 25, 2009 link notes tagged: communication  diffusion  technology  pop  culture  Tumblr 

skandalon


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