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Entertainment

Published on December 18, 2007

Author: Jacqueline

Source: authorstream.com

Friendster and Publicly Articulated Social Networking, A Social Network Caught in the Web:  Friendster and Publicly Articulated Social Networking, A Social Network Caught in the Web By: Mitch Lederman Date:4/12/07 Shivnath Babu What is Friendster?:  What is Friendster? Friendster Its an online dating site utilizing social networks to encourage friend-of-friend connections. Built under the assumption that friends-of-friends are more likely to be good dates than strangers Built to compete with Match.com Friendster only allows you to access those friends with four degrees Friendster encourages users to join even if they are not looking for a dates, under the assumption that they know a wide variety of friends who are looking and would serve as a connecter and recommender. Friendster’s major growth:  Friendster’s major growth Launched its public beta in the fall of 2002 As of early January 2004, the site is still in beta and has amassed over five million registered accounts and is still growing The value of the network:  The value of the network Friendster assumes that users will define their identity by their profile to ensure meaningful connections. The users will see the value in connecting to actual friends. Is the value of the network good? Many Problems? Friendster fails to recognize that publicly articulated social networks and identities are not identical to the private articulation. Public identities are not the same as private ones Problems cont…:  Problems cont… Relationship indicators in Friendster are binary: Friend or not No way to tell what the weight of the relationship is. Some list anyone as friends, some stick to a conservative definition, most list anyone they know and don’t dislike. This means that people indicated as Friends even though the user does not know or trust them Because of this weakness, the weight of a friend connection is often devalued because trust cannot be guaranteed. Publicly articulated social networks disempower the person performing. Presentation of self:  Presentation of self Friendster Profile (Presenting themselves based on specific time and audience) Demographic information Interest and self-description Pictures Friend listings Testimonials Context is missing Individual is constructing a profile for a potential date and also one must consider all the friends, colleagues, or other relations who might appear on the site. Social Appropriateness Truth One is simply performing for the public, but in doing so, one obfuscates quirks that often make one interesting to a potential suitor. Making it so confusing as to be difficult to understand behaviors that make one interest Teachers fear the presence of their students on Friendster Everyday activity we present different information depending on audience Friendster as a site of connection:  Friendster as a site of connection People use Friendster to connect to others for a variety of reasons. Connect with people that they know, reconnect with long lost friends, and colleagues. (Individual connections) Private elite clubs and pub gatherings Memorials Communication Auctioning connections on EBay Women advertise their porn sites by attracting potential clients Fraudster profiles to deal drugs, using the bulletin board to announce events Many are using Friendster for its intended purpose: dating. Dating falls into three categories Dating Categories:  Dating Categories Hookups Three to four degrees away Direct Pestering Look at friends’ friends and bug the intermediary about potential compatibility. Familiar Strangers Strangers that one sees regularly but never connects with. Browsing site, users find people they often see out and look at their profile. Then by that, they can send them a message or approach offline. Fakesters:  Fakesters “Fake Personas” Three forms of Fakesters Cultural characters that represent shared reference points with which people can connect (God, George Bush, Tim McGraw) Community characters that represent external collections of people to help congregate known groups (Duke University, San Francisco, Burning Man) Passing characters meant to be perceived as real (duplicates of people on the system) Fake female character “Fraudsters” Fakester Dilemma:  Fakester Dilemma Company has never approved of this behavior (collapse network &devalue meaning of connections between people) Most people love fakesters Tension between company and users Company outraged users by deleting fake profiles “Fakester Revolution” Site became less interesting when Fakesters removed Is anything actually real on friendster? Learning from Friendster:  Learning from Friendster Major problem around publicly articulated information Reshaped how groups of people verbally identify relationships Importance of creative play in social interaction Club Nexus:  Club Nexus Stanford in the fall of 2001, reflection of the real world community structure System to serve communication needs of Stanford online community Send e-mail and invitations, chat, post events, buy and sell used goods, and search for people with similar interests. Attracted over 2,000 students early on. How they connect people User registration and data:  User registration and data 1st step-enter name, e-mail addresses, birthdays, major, year in school, home country and state, phone number-etc. 2nd step-users asked to list their friends at Stanford- “buddies” 3rd step-list interests and hobbies 4th step-select adjectives to describe personalities, what they look for in friendship-etc. Using data, they were able to deduce attributes contributing to the formation of friendships Network Analysis:  Network Analysis Nexus Net-large social network with 2,469 users and 10,119 links between them. Number of buddies a user has is distributed unevenly- most users had just one buddy, some had dozens of friends, and one had more than a hundred. Small world effect- distance between two users, measured in number of hops along the Nexus Net is only four on average. Counterintuitive aspect: people tend to socialize in smaller cliques, yet they are separated by only a small number of hops. Separated/far away/not connected to many other people because in a small clique. How can be separated by only a small distance? Properties of individual profiles:  Properties of individual profiles Z-score- (number observed)-(number expected)/(standard deviation) Used z-scores to characterize the relationship between different attributes the users chose. Also, they indicate how likely it is to find a connection between two attributes by chance. Ex-Funny and enjoy watching comedies Personality and preferences (factors influencing friendships) Used this analysis to find correlations between users personalities and preferences. Described attractive=appearance is important Described funny=sought laughter in relationships Described weird= weird friends, spend time alone and at home Described successful- activities, fulfilling commitments Homophily Properties of individual profiles cont.:  Properties of individual profiles cont. Academic major and personality Examined relationship between persons academic major and what adjectives they chose to describe themselves Physics, math, engineer majors-nerdy stereotype, learning, weird. English majors-reading. Undeclared-doing anything exciting Gender differences Examined how gender influences personality and preferences. Men-Football, war movies, sex, activities Women-gymnastics, romance movies, trust, socialize Association by similarity:  Association by similarity Tendency of individuals sharing interests to associate with one another Activities or interests shared by smaller subset of people showed stronger association ratios than very generic activities that could be enjoyed by many. Ballroom dancing vs. partying Duke Football vs. Football Similarity and distance Similarity with a friend decreases as distance between users increases Higher likelihood we share a characteristic with a friends’ friend than we share it with someone four hops away. Nexus Karma:  Nexus Karma By e-mail as a new feature-users who were ranked by three buddies were sent an e-mail to do the same. Users could rank how trusty, nice, sexy, and cool their buddies were. Some variably in scores given Demonstrates a clear correspondence between the way that individuals perceive themselves and the way that they are perceived by others. Described responsible-received higher trusty scores Described attractive-higher sexy scores How does this relate to Google?:  How does this relate to Google? How we interact with people socially on the social networks has a lot of information. Profiles Registration Friends Pictures Google=make worlds information accessible. Need to improve indexing and storing for all this information (not indexing images of me on facebook nor my information)-Google desktop is helping Study on Club Nexus done by Orkut Buyukkokten helped him start Orkut.com, which is a social network associated with Google.

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