Implicit Structure and the Dynamics of Blogspace

By Eytan Adar. 2004

307 citations recorded by the source corpus.

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Citations in the corpus

Patterns of temporal variation in online media (2011, background): “” [22] Temporal variation of named entities and general themes (like, “economy” or “Obama”) exhibits variations at even larger temporal scale [3, 14, 31].”
Conversations in the Blogosphere: An Analysis "From the Bottom Up" (2005, background): “Adar, Zhang, Adamic, and Lukose (2004) identify blogs that initiate "information epidemics" and visualize the paths specific infections take through blogspace (see also Gruhl, Guha, Liben-Nowell, & Tomkins, 2004).”
Using a model of social dynamics to predict popularity of news (2010, background): “Researchers are using this data to study a variety of topics, including detecting [1, 20] and influencing [6, 12] trends in public opinion, and dynamics of information flow in groups [25, 19].”
The predictive power of online chatter (2005, background): “The structure and evolution of blogs were explored in [16, 17, 18, 1 ].”
Tracking information epidemics in blogspace (2005, methodology): “Finally, we have begun using this and related inference techniques to produce novel ranking algorithms for blog search tools [3] and in the study of meme “mutations.”
Structure and evolution of blogspace (2004, background): “com; for more on the structure and dynamics of blogspace, see [1, 3, 4, 7].”
Blogging Practices: An Analytical Framework (2007, background): “Several other studies and experiments have shown that the power law distribution of incoming links exists on various levels of the blogosphere, with consequences for the epidemic-like diffusion of information (Adar & Adamic, 2005; Adar et al., 2004; Wu & Huberman, 2004).”
The convergence of social and technological networks (2008, background): “2, 14 Large-scale social contagion data also provides the opportunity to identify highly influential sets of people in a social network—the set of people who would trigger the largest cascade if they were to adopt an innovation.”
Google's PageRank and Beyond (2006, background): “Notable artifacts that belong in our information retrieval museum are a few lists of individual library holdings, sorted by title and also author, as well as examples of the Dewey decimal system (1872), the card catalog (early 1900s), microfilm (1930s), and the MARC (MAchine Readable Cataloging) sys”
The structure of information pathways in a social communication network (2008, background): “Examples of this include cascades of e-mail recommendations for products [21], cascades of references among bloggers [3, 13, 23], the spread of e-mail chain letters [24], and the search for distant targets in a social network [8, 29].”
Can cascades be predicted? (2014, background): “Such cascades have been identified in settings including blogging [1, 13, 21], e-mail [12, 22], product recommendation [20], and social sites such as Facebook and Twitter [9, 18].”