Rhythms of social interaction: messaging within a massive online network

By Scott A. Golder, Dennis M. Wilkinson, Bernardo A. Huberman. arXiv.org, 2006

692 citations recorded by the source corpus.

College students spend a significant amount of time using online social net- work services for messaging, sharing information, and keeping in touch with one another (e.g. [3, 10]). As these services represent a plentiful source of electronic data, they provide an opportunity to study dynamic patterns of social interactions quickly and exhaustively. In this paper, we study the social net- work service Facebook, which began in early 2004 in select universities, but grew quickly to encompass a very large number of universities. Studies have shown that, as of 2006, Facebook use is nearly ubiquitous among U. S. college students with over 90% active participation among undergraduates [5, 16].

Subfields: Communication, Sociology and Political Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/5b1580a9c636dfb02a891e1b8af9c99fa156449c

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Citations in the corpus

What's in a crowd? Analysis of face-to-face behavioral networks (2010, background): “Mobile devices such as cell phones make it possible to investigate mobility patterns and their predictability (Gonza´lez et al., 2008; Song et al., 2010).”
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].”
Extracting Diurnal Patterns of Real World Activity from Social Media (2013, background): “Golder et al. (2007) found consistent weekly and seasonal patterns of social interaction among college students on Facebook.”
Predicting tie strength with social media (2009, neutral): “In terms of age and number of friends, previous empirical work suggests that our participants fall within the mainstream of Facebook users [14, 35].”
Social Networks that matter: Twitter under the Microscope (2008, background): “For example, a recent study of Facebook showed that users only poke and message a small number of people while they have a large number of declared friends [2].”
Social Network Sites: Definition, History, and Scholarship (2007, neutral): “For instance, Golder, Wilkinson, and Huberman (2007) examined an anonymized dataset consisting of 362 million messages exchanged by over four million Facebook users for insight into Friending and messaging activities.”
Comparison of online social relations in volume vs interaction: a case study of cyworld (2008, methodology): “The undulating pattern with daily peaks is the same as in literature [18, 27].”
The Faces of Facebookers: Investigating Social Enhancement and Social Compensation Hypotheses; Predicting FacebookTM and Offline Popularity from Sociability and Self-Esteem, and Mapping the Meanings of Popularity with Semantic Networks (2008, background): “They report that Golder et al. (2007) examined a large number of Facebook users’ messages for insight into friending and messaging activities.”
Changes in use and perception of facebook (2008, methodology): “Golder, Wilkinson and Huberman [13] examined messages and “pokes” sent on the Facebook network, using data collected directly from Facebook servers between February 2004 and March 2006.”
The Benefits of Facebook "Friends: " Social Capital and College Students' Use of Online Social Network Sites (2007, background): “…student perceptions of instructor presence and self-disclosure (Hewitt & Forte, 2006; Mazer, Murphy, & Simonds, 2007), temporal patterns of use (Golder, Wilkinson, & Huberman, 2007), and the relationship between proﬁle structure and friendship articulation (Lampe, Ellison, & Steinﬁeld, 2007).”
Comparing Community Structure to Characteristics in Online Collegiate Social Networks (2008, background): “Lampe et al. [55] explored the relationship between profile elements and number of Facebook friends, and other scholars have examined the importance of geography [59] and online message activity [ 37 ] to online friendship formation.”
TUNES THAT BIND? (2009, background): “communication is widely used in local relationships. Golder et al (2007) reported that slightly”
Digital Footprints: Opportunities and Challenges for Online Social Research (2014, methodology): “For example, Golder et al. (2007) showed that private messaging by nonfriends took place primarily at late-night hours, Traud et al. (2010) compared the network structures of multiple universities, and Mayer & Puller (2008) modeled tie formation within one university.”