Rethinking Information Diversity in Networks - 0 views
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enrique garcia on 08 Mar 12See also Janis (1972) "Group Thought". Probably assessing close contacts vs distant ones could be a nice clue for assessing FB profiles' "Innovative Information Ratings" .
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See also Janis (1972) "Group Thought". Probably assessing close contacts vs distant ones could be a nice clue for assessing FB profiles' "Innovative Information Ratings" . I Keep reading...
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Social Networks as Information Pathways
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Economic sociologist Mark Granovetter
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The Strength of Weak Ties
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1973 paper
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people are more likely to acquire jobs that they learned about through individuals they interact with infrequently rather than their close personal
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We are connected to core groups of strong ties that we interact with frequently and weak ties that we interact with infrequently
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the "strength of weak ties" states that weak ties facilitate information flow from disparate clusters of people
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tight-knit social circles tend to be small relative to people's entire social network, and when it comes to information about future job opportunities, it can be hard to find new leads.
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Weak ties help spread novel information by bridging the gap between clusters of strong tie contacts
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homophily [3], the tendency of individuals with similar characteristics to associate with one another.
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Individuals are connected to each other through workplaces, professions, schools, clubs, hobbies, political beliefs and other affiliations. The homophily principle holds true for any kind of social network you can think of:
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even the people you ride the bus with.
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these commonalities not only shape how often people interact and what they talk about, but also what kinds of information they as individuals seek on the Web.
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Homophily suggests that people who interact frequently are similar and may consume more of the same information.
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Individuals that interact less often tend to be dissimilar and may consume more diverse information.
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We found that people are more likely to share the information they were exposed to by their strong ties than by their weak ties on Facebook (Figure 3).
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strength between two individuals is measured by the number of comments a person received from their friend on Facebook
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Other measurements of tie strength, like the number of messages, co-appearances in photos, and discussion on posts are discussed in our paper [5].
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There are many possible explanations for the increased flow of information across strong ties
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information shared by a person's weak ties is unlikely to be shared at a later point in time independently of those friends.
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seeing content from a weak tie leads to a nearly tenfold increase in the likelihood that a person will share a link
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In contrast, seeing information shared by a strong tie in News Feed makes people just six times as likely to share.
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weak ties have the greatest potential to expose their friends to information that they would not have otherwise discovered.
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though a person is more likely to share a single piece of information from one of their close contacts,
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weak ties are collectively responsible for the majority of information spread.
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example (illustrated in Figure 5). Let's say a person has 100 contacts that are weak tie friends, and 10 that are strong tie friends. Suppose the chance that you'll share something is very high for strong tie friends, say 50%
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but the weak tie
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sharing is only 15%
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Therefore the amount of information spread due to weak and strong ties would be 100*0.15 = 15, and 10*0.50 = 5 respectively
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so in total, people would end up sharing more from their weak tie friends.
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because of their abundance, weak ties are primarily responsible for the majority of information spread on Facebook.
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majority of people’s contacts are weak tie friends
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We are exposed to and spread more information from our distant contacts than our close friends.
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Since these distant contacts tend to be different from us, the bulk of information we consume and share comes from people with different perspectives
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Our work
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shows that online social networks can serve as an important medium for sharing new perspectives, products and world events.
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very often, information does not "cascade" very far along the network. This phenomenon has been observed in earlier research on Twitter in Everyone's an Influencer: Quantifying Influence on Twitter
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and has been studied across other networks
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by Sharad Goel and Duncan Watts at Yahoo! Research, NY.
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person who click 'like' is in the weak ties group, and then who write a reply is in the strong ties group ?
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share opinion , please
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See also Janis (1972) "Group Thought". Probably assessing close contacts vs distant ones could be a nice clue for assessing FB profiles' "Innovative Information Ratings" . I Keep reading...
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How do your friends shape the information you see online? See also Janis (1972) "Group Thought". Probably assessing close contacts vs distant ones could offer a nice clue for assessing FB profiles' "Innovative Information Ratings" . More comments inside, see also Diigo.
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See also Janis (1972) "Group Thinking". Probably assessing close contacts vs distant ones could offer a nice clue for assessing FB profiles' "Innovative Information Ratings" . More comments inside, see also Diigo.
