Elisabeth zu Erbach-Schoenberg
Datos Biográficos
| ID | 6542679 |
|---|---|
| NOMBRE | Elisabeth zu Erbach-Schoenberg |
| NOMBRES | Elisabeth zu |
| APELLIDO | Erbach-Schoenberg |
| FIRMA | ZU ERBACH-SCHOENBERG E |
| AFILIACIONES | University of Southampton |
| ORCID | 0000-0002-5315-4041 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2013 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2022 |
| ÍNDICE H | 0 |
Exploring methods for mapping seasonal population changes using mobile phone data
Data accurately representing the population distribution at the subnational level within countries is critical to policy and decision makers for many applications. Call data records (CDRs) have shown great promise for this, providing much higher temporal and spatial resolutions compared to traditional data sources. For CDRs to be integrated with other data and in order to effectively inform and support policy and decision making, mobile phone use…
Mobility and phone call behavior explain patterns in poverty at high-resolution across multiple settings
Call detail records (CDRs) from mobile phone metadata are a promising data source for mapping poverty indicators in low- and middle-income countries. These data provide information on social networks, call behavior, and mobility patterns in a population, which are correlated with measures of socioeconomic status. CDRs are passively collected and provide information with high spatial and temporal resolution. Identifying features from these data th…
A Model of Spatially Constrained Social Network Dynamics
Social networks characterize the set of relationships among a population of social agents. As such, their structure both constrains and is constrained by social processes such as partnership formation and the spread of information, opinions, and behavior. Models of these coevolutionary network dynamics exist, but they are generally limited to specific interaction types such as games on networks or opinion dynamics. Here we present a dynamic model…
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A Model of Spatially Constrained Social Network Dynamics
Social networks characterize the set of relationships among a population of social agents. As such, their structure both constrains and is constrained by social processes such as partnership formation and the spread of information, opinions, and behavior. Models of these coevolutionary network dynamics exist, but they are generally limited to specific interaction types such as games on networks or opinion dynamics. Here we present a dynamic model…
Mobility and phone call behavior explain patterns in poverty at high-resolution across multiple settings
Call detail records (CDRs) from mobile phone metadata are a promising data source for mapping poverty indicators in low- and middle-income countries. These data provide information on social networks, call behavior, and mobility patterns in a population, which are correlated with measures of socioeconomic status. CDRs are passively collected and provide information with high spatial and temporal resolution. Identifying features from these data th…
Exploring methods for mapping seasonal population changes using mobile phone data
Data accurately representing the population distribution at the subnational level within countries is critical to policy and decision makers for many applications. Call data records (CDRs) have shown great promise for this, providing much higher temporal and spatial resolutions compared to traditional data sources. For CDRs to be integrated with other data and in order to effectively inform and support policy and decision making, mobile phone use…
Computer Science (3 obras) · Population (3 obras) · Cluster analysis (2 obras) · Geography (2 obras) · Human Mobility and Location-Based Analysis (2 obras) · Mobile phone (2 obras) · Telecommunications (2 obras) · Artificial Intelligence (1 obras) · Assortativity (1 obras) · Biology (1 obras)