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Inferring friendship network structure by using mobile phone data
TLDR
It is demonstrated that it is possible to accurately infer 95% of friendships based on the observational data alone, where friend dyads demonstrate distinctive temporal and spatial patterns in their physical proximity and calling patterns that allow the prediction of individual-level outcomes such as job satisfaction. Expand
Structure and tie strengths in mobile communication networks
TLDR
It is found that, when it comes to information diffusion, weak and strong ties are both simultaneously ineffective, and this coupling significantly slows the diffusion process, resulting in dynamic trapping of information in communities. Expand
The Parable of Google Flu: Traps in Big Data Analysis
Large errors in flu prediction were largely avoidable, which offers lessons for the use of big data. In February 2013, Google Flu Trends (GFT) made headlines but not for a reason that GoogleExpand
The Network Structure of Exploration and Exploitation
TLDR
An agent-based computer simulation model of information sharing in which the less successful emulate the more successful suggests that when agents are dealing with a complex problem, the more efficient the network at disseminating information, the better the short-run but the lower the long-run performance of the system. Expand
Inferring Social Network Structure using Mobile Phone Data
We analyze 330,000 hours of continuous behavioral data logged by the mobile phones of 94 subjects, and compare these observations with selfreport relational data. The information from these two dataExpand
The science of fake news
TLDR
Social and computer science research regarding belief in fake news and the mechanisms by which it spreads is discussed, focusing on unanswered scientific questions raised by the proliferation of its most recent, politically oriented incarnation. Expand
Fake news on Twitter during the 2016 U.S. presidential election
TLDR
Exposure to and sharing of fake news by registered voters on Twitter was examined and it was found that engagement with fake news sources was extremely concentrated and individuals most likely to engage withfake news sources were conservative leaning, older, and highly engaged with political news. Expand
Network Theory and Small Groups
This article describes the network approach to small groups. First, the core constructs that compose social network research are explained. The primary theories that provide the intellectualExpand
Measuring personalization of web search
TLDR
A methodology for measuring personalization in Web search results is developed and it is found that, on average, 11.7% of results show differences due to personalization, but that this varies widely by search query and by result ranking. Expand
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