A social network caught in the Web

By Lada A. Adamic, Orkut Buyukkokten, Eytan Adar. First Monday, 2003

325 citations recorded by the source corpus.

We present an analysis of Club Nexus, an online community at Stanford University. Through the Nexus site we were able to study a reflection of the real world community structure within the student body. We observed and measured social network phenomena such as the small world effect, clustering, and the strength of weak ties. Using the rich profile data provided by the users we were able to deduce the attributes contributing to the formation of friendships, and to determine how the similarity of users decays as the distance between them in the network increases. In addition, we found correlations between users' personalities and their other attributes, as well as interesting correspondences between how users perceive themselves and how they are perceived by others.

Subfields: Sociology and Political Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/c409cdbbe65129e7f32dd53af6a10f51b1403f17

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Sociology and Political Science

In Statistical and Nonlinear Physics

Citations in the corpus

Link Prediction in Relational Data (2003, methodology): “The second dataset we used has been collected by a portal website at a large university that hosts an online community for students [1].”
POLYPHONET: an advanced social network extraction system from the web (2006, background): “Some particular social networks on the Web have been investigated in detail: Adamic has classiﬁed the social network at Stanford and MIT students, and has collected relations amongstudentsfromWeblinkstructureandtextinformation[6].”
The Transformation of the Web: How Emerging Communities Shape the Information we Consume (2006, background): “Most popular social networks in use ask users explicitly for personal information (e.g., [Adamic et al. 2003]).”
Wherefore art thou r3579x?: anonymized social networks, hidden patterns, and structural steganography (2007, background): “We describe a family of attacks such that even from a single anonymized copy of a social network, it is possible for an adversary to learn whether edges exist or not between speci.c targeted pairs of nodes.”
Measurement and analysis of online social networks (2007, background): “Researchers have shown that many real-world networks are power-law networks, including Internet topologies [16], the Web [9, 27], social networks [3], neural net-”
Wherefore Art Thou R3579x? Anonymized Social Networks, Hidden Patterns, and Structural Steganography (background): “…most promising opportunities for the study of social networks are emerging from data on domains where users have strong expectations of privacy — these include e-mail and messaging networks, as well as the link structure of closed (i.e. " members-only " ) on-line communities [1] [2] [17] [19] [21].”
How to search a social network (2003, background): “The richness of the profiles allowed for detailed social network analysis, including identifying activities and preferences influencing the formation of friendship (see [1]).”
Social Network Sites: Definition, History, and Scholarship (2007, unknown): “visualization ( Adamic, Buyukkokten, & Adar, 2003; Heer & boyd, 2005; Paolillo & Wright, 2005).”
Vizster: visualizing online social networks (2005, background): “In recent years, such approaches have been effectively used in the analysis of domains such as e-mail communication [7], early online social networks [1], and co-authorship networks in scientific publications [16].”
TUNES THAT BIND? (2009, background): “Some studies report homophily in SNS friendships on other factors including shared relationships and ethnicity (Adamic et al. 2003; boyd & Heer 2006; Hargittai 2007).”
Implicit Structure and the Dynamics of Blogspace (2004, background): “General Terms Measurement, Experimentation, Algorithm Keywords Weblog, information flow, implicit link, ranking”