玉貴人整形外科診所王子杰醫師

Lead: Facebook official blog published Monday in the Department of 名艾唐巴克什 (Eytan Bakshy) study reported that, although the traditional view of the social network can provide the same perspective as a the , through quantitative analysis and theoretical studies find that, social network users to share more information from weak ties, and thus become an important new point of view the media.

The following is the text of the article:

your friends online to see how it affects you and read the information? Facebook and other social networking technology allows us to establish with hundreds or even thousands of contacts,Automatic door, and has fundamentally changed the way people access information.

Although the majority of our time with close friends sharing personal life, but will also use the online social network to share breaking news, discuss political issues and the latest trends. In 2010, my colleague 伊塔玛罗森 (Itamar Rosenn), Cameron Marlow (Cameron Marlow), Lada Ada Mei grams (Lada Adamic) and I jointly launched a study of Facebook, I hope understand the information on the propagation characteristics of social networks.

Some people think that social networking is only playing the But our research has sketched out a different picture.

We found that despite spending more likely to interact frequently and share a close friend of published information (such as party the night before to discuss Zhao film), but the vast majority of information comes from they do not often touch people. The new long-range contacts are more likely to share the information that the social network can be a sharing new ideas,Automatic door, new products and discuss current events highlight the powerful medium.

this study that, Facebook is not a lot of people think that echo chamber - but online social networks to promote new information and different perspectives of the spread.

social network information dissemination path

family's economic and social Pok Mark Ge Lannuo Witt (Mark Granovetter) are the first to use social networks to understand the mode of information dissemination, and the method is extended to the open one. His 1973 paper,

To explain this phenomenon, Granovetter uses social networking social graph to illustrate how and the interlinkages between access to information (Figure 1). When a person in close contact with two people interact, the two men may also interact. Therefore, people tend to form close-knit

Figure 1: We have strong relationships with a core group composed of links with groups of people frequently, there is also a weak relationship between infrequent contact. Granovetter on

these structures and the relationship between access to information? Because these groups of people know each other, no one knows the information can spread quickly to other people in the group. Relative to the whole social network of people, this close-knit social circle smaller, and specific to future job opportunities, it is difficult to provide new clues.

Granovetter relations with frequent exchanges and social structure to explain: why the work from those exchanges of information but does not frequent the weak relationship. By eliminating the gap between the intensive group, the weak relationship helps to pass the new information. Strength of weak ties that spawned many of the social network model of the popular view of information dissemination.

people to class together

wider dissemination of information, what is the situation? Circulating on the Internet such as news? To understand the information in society more general means of communication, a very important point is not simply consider the contact between people, to promote the dissemination of information should also be considered common. The discovery is the largest social network homogeneity (homophily), which has a similar personality interrelated tendencies. People can be in the workplace, occupation, Pok schools, clubs, hobbies, political beliefs, and other factors with each other, homogeneity for any of you can think of social networking: a close friend, colleague, with curb, or even people who share the ride.

Today, these similarities not only to determine the frequency of contact between people and explore the topic, they also decided to look for as an individual what information in the network. Homogeneity that is similar to one another in regular contact, and may consume more of the same information. Exchange fewer individuals are more likely to vary, and consume more different information. Figure 2 illustrates this view.

Figure 2: Communication through online social networking information. Our studies suggest that strong ties similar to each other, and are more likely to access the same site. The weak relationship between the difference larger, and tend to visit different sites.

interest and new ideas

online social networks in order to understand how it affects the dissemination of information, we use the News Feed of the random variable to determine: when a person sees a friend posted content, share the content of the the likelihood. We found that people share a strong relationship between the release of Facebook content is higher than the likelihood of weak ties.

Figure 3: People are more likely to share a strong relationship between the release of information in the News Feed (web link). Strength of the relationship between two individuals is a person get from Facebook friends to measure the number of comments. We also discussed the number of messages in the paper, the film also appear in the Zhao and the number of articles published in the discussion of other ways to measure.

on the strong relationship between the flow of information increases, there are many possible explanations. One reason is: between close friends are more likely to resemble each other, and thus find each other to share the contents of the more interesting. Another explanation is: strong ties are more influential, so people are more likely to result from a close friend to share the information.

how we increase the dissemination of information on the Facebook side were studied. That is, if a friend on Facebook shared information, as you see in the News Feed to share this information will increase the probability of how many times? The following figures reveal the multiplier effect of this relationship with friends correlation between the intensity.

Figure 4: The propagation of weak ties is unlikely to see that people had the information. The figures reveal, as seen in the News Feed in the relationship between strong ties and weak release of information, and increase the probability of sharing.

We found a weak relationship between the sharing of information then less likely to be confined to a small area. Therefore, to see the contents of a weak relationship between the share will lead to a possibility to share this information nearly 10 times. In contrast, strong ties shared by the content of only 6-fold increase. In short, weak ties are most likely to provide some of their friends had difficulty in obtaining information.

weak ties together

Finally, we began to study how the effects of these networks to shape the overall information dissemination. Although a person more likely to share a single piece of information from a close friend, but a collection of weak ties, but shoulders the majority of information dissemination responsibilities.

Let us assume an example (Figure 5). For example, a person with 100 friends and weak ties and strong ties 10 friends. Suppose you are a friend to share a strong relationship between a high probability of release of information, approximately 50%, but weak relationship is much lower, only 15%. Therefore, by the strong ties and weak ties are the amount of information transmitted 10 × 0.50 = 5 and 100 × 0.15 = 15. So overall, it is ultimately a weak relationship from friends there to share more information.

Figure 5: People are more likely to share information from strong ties, but because of larger base, Facebook is still in the dissemination of information from the majority of weak ties. These figures show that, despite the strong relationship between the individual influence (orange) more, but overall, the majority still come from the influence of weak ties.

Therefore, the results of this operation and the number of curb our hypothetical example is very similar to: Most people are weak relations contact friends, if you use the experience of relationship strength and its corresponding probability distribution of the same operation on will find that most of the weak relationship contributed to the dissemination of information.

Conclusion

us on Facebook to share and consume information that is actually more than the more traditional concept of diversity. Compared with close friend, and we see more from the long-distance communication contact information. Because of these long-range contacts are usually with our differences, so we consume much of the information and share ideas from different people.

This may reassure those who worry that social networking is just an Our first study the influence of social networks on a large scale to quantify, and that online social networks can serve as a sharing new ideas, new products, important news and current affairs media. (Book Yu)

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