Share This Author
Inferring friendship network structure by using mobile phone data
- N. Eagle, A. Pentland, D. Lazer
- PsychologyProceedings of the National Academy of Sciences
- 8 September 2009
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.
Structure and tie strengths in mobile communication networks
- J. Onnela, J. Saramäki, A. Barabasi
- Computer ScienceProceedings of the National Academy of Sciences
- 13 October 2006
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.
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 Google…
The Network Structure of Exploration and Exploitation
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.
Inferring Social Network Structure using Mobile Phone Data
A new method for precise measurements of large-scale human behavior based on contextualized proximity and communication data alone is presented, and characteristic behavioral signatures of relationships are identified that allowed us to accurately predict 95% of the reciprocated friendships in the study.
The science of fake news
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.
Fake news on Twitter during the 2016 U.S. presidential election
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.
Computational Social Science
It is found that origination rates of marine bivalves increased significantly almost everywhere immediately after the K-Pg mass extinction event, and a distinct pulse of bivalve diversification in the early Cenozoic was concentrated mainly in tropical and subtropical regions.
Life in the network: The coming age of computational social science: Science
Measuring personalization of web search
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.