• Publications
  • Influence
The political blogosphere and the 2004 U.S. election: divided they blog
TLDR
Differences in the behavior of liberal and conservative blogs are found, with conservative blogs linking to each other more frequently and in a denser pattern. Expand
Friends and neighbors on the Web
TLDR
It is shown that some factors are better indicators of social connections than others, and that these indicators vary between user populations. Expand
Exposure to ideologically diverse news and opinion on Facebook
TLDR
Examination of the news that millions of Facebook users' peers shared, what information these users were presented with, and what they ultimately consumed found that friends shared substantially less cross-cutting news from sources aligned with an opposing ideology. Expand
The dynamics of viral marketing
TLDR
While on average recommendations are not very effective at inducing purchases and do not spread very far, this work presents a model that successfully identifies communities, product, and pricing categories for which viral marketing seems to be very effective. Expand
The role of social networks in information diffusion
TLDR
It is shown that, although stronger ties are individually more influential, it is the more abundant weak ties who are responsible for the propagation of novel information, suggesting that weak ties may play a more dominant role in the dissemination of information online than currently believed. Expand
Search in Power-Law Networks
TLDR
A number of local search strategies that utilize high degree nodes in power-law graphs and that have costs scaling sublinearly with the size of the graph are introduced and demonstrated on the GNUTELLA peer-to-peer network. Expand
Knowledge sharing and yahoo answers: everyone knows something
TLDR
This paper analyzes YA's forum categories and cluster them according to content characteristics and patterns of interaction among the users, finding that lower entropy correlates with receiving higher answer ratings, but only for categories where factual expertise is primarily sought after. Expand
Expertise networks in online communities: structure and algorithms
TLDR
This study analyzes the Java Forum, a large online help-seeking community, using social network analysis methods and tests a set of network-based ranking algorithms on this large size social network in order to identify users with high expertise. Expand
How to search a social network
TLDR
It is found that small world search strategies using a contact’s position in physical space or in an organizational hierarchy relative to the target can effectively be used to locate most individuals, but in the online student network, where the data is incomplete and hierarchical structures are not well defined, local search strategies are less effective. Expand
Can cascades be predicted?
TLDR
This work develops a framework for addressing cascade prediction problems, and finds that the relative growth of a cascade becomes more predictable as the authors observe more of its reshares, that temporal and structural features are key predictors of cascade size, and that initially, breadth, rather than depth, is a better indicator of larger cascades. Expand
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