Popularity, similarity, and the network extraversion bias.

نویسندگان

  • Daniel C Feiler
  • Adam M Kleinbaum
چکیده

Using the emergent friendship network of an incoming cohort of students in an M.B.A. program, we examined the role of extraversion in shaping social networks. Extraversion has two important implications for the emergence of network ties: a popularity effect, in which extraverts accumulate more friends than introverts do, and a homophily effect, in which the more similar are two people's levels of extraversion, the more likely they are to become friends. These effects result in a systematic network extraversion bias, in which people's social networks will tend to be overpopulated with extraverts and underpopulated with introverts. Moreover, the most extraverted people have the greatest network extraversion bias, and the most introverted people have the least network extraversion bias. Our finding that social networks were systematically misrepresentative of the broader social environment raises questions about whether there is a societal bias toward believing other people are more extraverted than they actually are and whether introverts are better socially calibrated than extraverts.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Exploiting Popularity and Similarity for Link Recommendation in Twitter Networks

Twitter functions both as a social network and an information network, where users follow other users to make social connections as well as to receive information. Both popularity and similarity are important factors that drive the growth of the Twitter network. In this paper, we propose two approaches to exploiting both popularity and similarity for link recommendation. The first approach empl...

متن کامل

Coupling effect of nodes popularity and similarity on social network persistence

Network robustness represents the ability of networks to withstand failures and perturbations. In social networks, maintenance of individual activities, also called persistence, is significant towards understanding robustness. Previous works usually consider persistence on pre-generated network structures; while in social networks, the network structure is growing with the cascading inactivity ...

متن کامل

Link Prediction using Network Embedding based on Global Similarity

Background: The link prediction issue is one of the most widely used problems in complex network analysis. Link prediction requires knowing the background of previous link connections and combining them with available information. The link prediction local approaches with node structure objectives are fast in case of speed but are not accurate enough. On the other hand, the global link predicti...

متن کامل

Too Much of a Good Thing? The Relationship Between Number of Friends and Interpersonal Impressions on Facebook

A central feature of the online social networking system, Facebook, is the connection to and links among friends. The sum of the number of one’s friends is a feature displayed on users’ profiles as a vestige of the friend connections a user has accrued. In contrast to offline social networks, individuals in online network systems frequently accrue friends numbering several hundred. The uncertai...

متن کامل

Show me your friends and I will tell you what type of person you are: How one's profile, number of friends, and type of friends influence impression formation on social network sites

This experiment examines how far extraversion of the target (self-generated information), extraversion of the target’s friends (friends-generated information), and number of friends (system-generated information) influence the perceived popularity, communal orientation, and social attractiveness of the target. The warranting principle states that judgments rely more heavily on other-generated t...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Psychological science

دوره 26 5  شماره 

صفحات  -

تاریخ انتشار 2015