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There is an increasing trend of people leaving digital traces through social media. This reality opens new horizons for urban studies. With this kind of data, researchers and urban planners can detect many aspects of how people live in…

Social and Information Networks · Computer Science 2015-06-02 Silvia Paldino , Iva Bojic , Stanislav Sobolevsky , Carlo Ratti , Marta C. Gonzalez

Pedestrian GPS data are key to a better understanding of micro-mobility and micro-behaviour within a neighbourhood. These data can bring new insights into walkability and livability in the context of urban sustainability. However,…

Physics and Society · Physics 2024-10-14 Ferran Larroya , Roger Paez , Manuela Valtchanova , Josep Perelló

Social Internet content plays an increasingly critical role in many domains, including public health, disaster management, and politics. However, its utility is limited by missing geographic information; for example, fewer than 1.6% of…

Social and Information Networks · Computer Science 2013-11-19 Reid Priedhorsky , Aron Culotta , Sara Y. Del Valle

Understanding the complex dynamics of human navigation and spatial behavior is essential for advancing location-based services, public health, and related fields. This paper investigates the multifaceted relationship between individuals and…

Computers and Society · Computer Science 2025-03-11 Licia Amichi , Gautam Malviya Thakur , Carter Christopher

Modern society habitually uses online social media services to publicly share observations, thoughts, opinions, and beliefs at any time and from any location. These geotagged social media posts may provide aggregate insights into people's…

Social and Information Networks · Computer Science 2014-11-25 Derek Doran , Swapna Gokhale , Aldo Dagnino

Temporal-network models have provided key insights into how time-varying connectivity shapes dynamical processes such as spreading. Among them, the activity-driven model is a widely used, analytically tractable benchmark. Yet many temporal…

Physics and Society · Physics 2025-11-20 Zsófia Simon , Jari Saramäki

Geo-tagged Twitter data has been used recently to infer insights on the human aspects of social media. Insights related to demographics, spatial distribution of cultural activities, space-time travel trajectories for humans as well as…

Social and Information Networks · Computer Science 2019-07-30 Wei Lun Lim , Chiung Ching Ho , Choo-Yee Ting

Great cities connect people; failed cities isolate people. Despite the fundamental importance of physical, face-to-face social-ties in the functioning of cities, these connectivity networks are not explicitly observed in their entirety.…

Physics and Society · Physics 2015-07-21 Aaron Sim , Sophia N Yaliraki , Mauricio Barahona , Michael P H Stumpf

Cyber-physical systems (CPS) integrate sensing, computing, and control to improve infrastructure performance, focusing on economic goals like performance and safety. However, they often neglect potential human-centered (or ''social'')…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Cheyu Lin , John Martins , Katherine A. Flanigan , Ph. D

We observe and report on a systematic relationship between population density and Twitter use. Number of tweets, number of users and population per unit area are related by power laws, with exponents greater than one, that are consistent…

Social and Information Networks · Computer Science 2017-11-28 Rudy Arthur , Hywel Williams

We conduct a detailed investigation of correlations between real-time expressions of individuals made across the United States and a wide range of emotional, geographic, demographic, and health characteristics. We do so by combining (1) a…

Online social networks are growing and becoming denser. The social connections of a given person may have very high variability: from close friends and relatives to acquaintances to people who hardly know. Inferring the strength of social…

Data Structures and Algorithms · Computer Science 2019-02-06 Polina Rozenshtein , Nikolaj Tatti , Aristides Gionis

Social connectivity is the key process that characterizes the structural properties of social networks and in turn processes such as navigation, influence or information diffusion. Since time, attention and cognition are inelastic…

Physics and Society · Physics 2013-04-09 Giovanna Miritello , Rubén Lara , Manuel Cebrián , Esteban Moro

Potentially influential spaces in the spatial networks of cities can be detected by means of the entropy participation ratios. Local (connectivity) and global (centrality) entropies are considered. While the connectivity entropy has a…

Physics and Society · Physics 2007-09-28 D. Volchenkov , Ph. Blanchard

Real-time tweets can provide useful information on evolving events and situations. Geotagged tweets are especially useful, as they indicate the location of origin and provide geographic context. However, only a small portion of tweets are…

Social and Information Networks · Computer Science 2019-10-08 Luke S. Snyder , Morteza Karimzadeh , Ray Chen , David S. Ebert

Understanding the spatial networks formed by the trajectories of mobile users can be beneficial to applications ranging from epidemiology to local search. Despite the potential for impact in a number of fields, several aspects of human…

Social and Information Networks · Computer Science 2015-03-18 Anastasios Noulas , Blake Shaw , Renaud Lambiotte , Cecilia Mascolo

In order to contain the COVID-19 pandemic, countries around the world have introduced social distancing guidelines as public health interventions to reduce the spread of the disease. However, monitoring the efficacy of these guidelines at a…

The urban-rural divide is increasing in modern societies calling for geographical extensions of social influence modelling. Improved understanding of innovation diffusion across locations and through social connections can provide us with…

Physics and Society · Physics 2020-09-16 Balázs Lengyel , Eszter Bokányi , Riccardo Di Clemente , János Kertész , Marta C. González

With the advent of reliable positioning technologies and prevalence of location-based services, it is now feasible to accurately study the propagation of items such as infectious viruses, sensitive information pieces, and malwares through a…

Databases · Computer Science 2012-05-31 Houtan Shirani-Mehr , Farnoush Banaei Kashani , Cyrus Shahabi
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