| Inferences about spatiotemporal variation in dengue virus transmission are sensitive to assumptions about human mobility: a case study using geolocated tweets from Lahore, Pakistan |
13 |
| Can co-location be used as a proxy for face-to-face contacts? |
13 |
| Centrality in modular networks |
13 |
| Tampering with Twitter's Sample API |
12 |
| Understanding predictability and exploration in human mobility |
11 |
| Inferring modes of transportation using mobile phone data |
8 |
| Large-scale and high-resolution analysis of food purchases and health outcomes |
8 |
| Mining large-scale human mobility data for long-term crime prediction |
7 |
| Success in books: a big data approach to bestsellers |
7 |
| Analysis of the Bitcoin blockchain: socio-economic factors behind the adoption |
7 |
| Shopping mall attraction and social mixing at a city scale |
6 |
| Crime event prediction with dynamic features |
6 |
| Social network differences of chronotypes identified from mobile phone data |
6 |
| Analyzing and predicting the spatial penetration of Airbnb in US cities |
6 |
| Quantifying human mobility resilience to extreme events using geo-located social media data |
5 |
| Psychology and morality of political extremists: evidence from Twitter language analysis of alt-right and Antifa |
5 |
| Blockchain inefficiency in the Bitcoin peers network |
5 |
| Travelers or locals? Identifying meaningful sub-populations from human movement data in the absence of ground truth |
5 |
| Academic performance and behavioral patterns |
5 |
| On the predictability of the popularity of online recipes |
4 |
| Feature analysis of multidisciplinary scientific collaboration patterns based on PNAS |
4 |
| Commuting patterns: the flow and jump model and supporting data |
4 |
| Behavioral attributes and financial churn prediction |
4 |
| Segregation in religion networks |
4 |
| Nowcasting earthquake damages with Twitter |
4 |
| Weak signals in the mobility landscape: car sharing in ten European cities |
3 |
| Mapping individual behavior in financial markets: synchronization and anticipation |
3 |
| Understanding news outlets' audience-targeting patterns |
3 |
| Discovering temporal regularities in retail customers' shopping behavior |
3 |
| Collective aspects of privacy in the Twitter social network |
3 |
| Tracing patterns and shapes in remittance and migration networks via persistent homology |
3 |
| A comparison of spatial-based targeted disease mitigation strategies using mobile phone data |
3 |
| Spatio-temporal variations in the urban rhythm: the travelling waves of crime |
3 |
| Prestige drives epistemic inequality in the diffusion of scientific ideas |
3 |
| Mapping the physics research space: a machine learning approach |
3 |
| Social dynamics of financial networks |
3 |
| Dissecting global air traffic data to discern different types and trends of transnational human mobility |
3 |
| Unraveling pedestrian mobility on a road network using ICTs data during great tourist events |
3 |
| Reciprocity and impact in academic careers |
3 |
| Quantifying gender preferences in human social interactions using a large cellphone dataset |
3 |
| Quantifying echo chamber effects in information spreading over political communication networks |
3 |
| Human mobility and innovation spreading in ancient times: a stochastic agent-based simulation approach |
3 |
| Understanding the interplay between social and spatial behaviour |
3 |
| A scalable method to quantify the relationship between urban form and socio-economic indexes |
3 |
| Complex delay dynamics on railway networks from universal laws to realistic modelling |
3 |
| Explore with caution: mapping the evolution of scientific interest in physics |
2 |
| Responsible team players wanted: an analysis of soft skill requirements in job advertisements |
2 |
| Inside 000 living rooms: an assessment of global residential ornamentation using transfer learning |
2 |
| Are the different layers of a social network conveying the same information? |
2 |
| Big data would not lie: prediction of the 2016 Taiwan election via online heterogeneous information |
2 |
