Fuzzy Modelling for Human Dynamics Based on Online Social Networks

Cuenca-Jara, Jesus; Terroso-Sáenz, Fernando; Valdés-Vela, Mercedes; Skarmeta, Antonio F.

doi:10.3390/s17091949

Cited by 9 publications

(6 citation statements)

References 51 publications

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“…To do so, we used a well-known trip-extraction procedure from tweets Cuenca-Jara, Terroso-Saenz, Valdes-Vela, Gonzalez-Vidal, Skarmeta. (2017); Cuenca-Jara, Terroso-Saenz, Valdes-Vela and Skarmeta. (2017).…”

Section: Comparison Of the Multi-source And Osn-based Mobility Studiesmentioning

confidence: 99%

Can Twitter be a Reliable Proxy to Characterize Nation-wide Human Mobility? A Case Study of Spain

Terroso-Sáenz

Muñoz

Arcas

et al. 2022

Social Science Computer Review

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In recent years, there has been an increasing interest in the exploitation of geo-tagged documents posted on Online Social Networks (OSN) for human-mobility pattern mining. These patterns can ease the development of effective and intelligent location-based systems of different scenarios. However, the validation of OSN geo-data as a reliable source for human mobility has not been fully studied in literature. Therefore, this study proposes a comprehensive comparison of a nation-scale Twitter (TWT) dataset with an official mobility study published by the Spanish Ministry of Development. Both feeds have been compared considering different variables, such as population density and spatial granularity, among others. Results show that TWT can be a reliable source for human-mobility mining but only when certain socioeconomic, temporal, and spatial factors co-occur.

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Section: Comparison Of the Multi-source And Osn-based Mobility Studiesmentioning

confidence: 99%

Can Twitter be a Reliable Proxy to Characterize Nation-wide Human Mobility? A Case Study of Spain

Terroso-Sáenz

Muñoz

Arcas

et al. 2022

Social Science Computer Review

Self Cite

View full text Add to dashboard Cite

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“…Therefore, from these documents it is not feasible to extract mobility flows with the same granularity than with taxis, bikes or FHVs. For that reason, we have followed the approach for OSN-based routes composition proposed in References [34,35]. In a nutshell, this method generates a set of individual OSN trips.…”

Section: Osn Trips Compositionmentioning

confidence: 99%

Land‐use dynamic discovery based on heterogeneous mobility sources

2020

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Nowadays, cities are the most relevant type of human settlement and their population has been endlessly growing for decades. At the same time, we are witnessing an explosion of digital data that capture many different aspects and details of city life. This allows detecting human mobility patterns in urban areas with more detail than ever before. In this context, based on the fusion of mobility data from different and heterogeneous sources, such as public transport, transportnetwork connectivity and Online Social Networks, this study puts forward a novel approach to uncover the actual land use of a city. Unlike previous solutions, our work avoids a time-invariant approach and it considers the temporal factor based on the assumption that urban areas are not used by citizens all the time in the same manner. We have tested our solution in two different cities showing high accuracy rates.

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“…This popularity is due to their easy-to-modify character, in order to create efficient and scalable versions for different types of data, such as data streams [26,27] or big data [28][29][30]. For this reason, heatmap visualizations based on improved KDE methods have been used in a wide range of application fields, including traffic data visualization [31], emotional heatmaps [32], sentiment analysis [33][34][35], or human dynamics in social networks [36], among others. However, although level sets [23] and density pruning techniques [29] are studied for visualization, to the best of our knowledge, three-dimensional (3D) spatiotemporal visualization, as in Figure 9, has not been exploited to date, whereas it can be very useful to locate different spatiotemporal events in the same management panel.…”

Section: Geographical and Spatiotemporal Analysismentioning

confidence: 99%

Statistical, Spatial and Temporal Mapping of 911 Emergencies in Ecuador

2018

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A public safety answering point (PSAP) receives alerts and attends to emergencies that occur in its responsibility area. The analysis of the events related to a PSAP can give us relevant information in order to manage them and to improve the performance of the first response institutions (FRIs) associated to every PSAP. However, current emergency systems are growing dramatically in terms of information heterogeneity and the volume of attended requests. In this work, we propose a system for statistical, spatial, and temporal analysis of incidences registered in a PSAP by using simple, yet robust and compact, event representations. The selected and designed temporal analysis tools include seasonal representations and nonparametric confidence intervals (CIs), which dissociate the main seasonal components and the transients. The spatial analysis tools include a straightforward event location over Google Maps and the detection of heat zones by means of bidimensional geographic Parzen windows with automatic width control in terms of the scales and the number of events in the region of interest. Finally, statistical representations are used for jointly analyzing temporal and spatial data in terms of the "time-space slices". We analyzed the total number of emergencies that were attended during 2014 by seven FRIs articulated in a PSAP at the Ecuadorian 911 Integrated Security Service. Characteristic weekly patterns were observed in institutions such as the police, health, and transit services, whereas annual patterns were observed in firefighter events. Spatial and spatiotemporal analysis showed some expected patterns together with nontrivial differences among different services, to be taken into account for resource management. The proposed analysis allows for a flexible analysis by combining statistical, spatial and temporal information, and it provides 911 service managers with useful and operative information.

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Fuzzy Modelling for Human Dynamics Based on Online Social Networks

Cited by 9 publications

References 51 publications

Can Twitter be a Reliable Proxy to Characterize Nation-wide Human Mobility? A Case Study of Spain

Can Twitter be a Reliable Proxy to Characterize Nation-wide Human Mobility? A Case Study of Spain

Land‐use dynamic discovery based on heterogeneous mobility sources

Statistical, Spatial and Temporal Mapping of 911 Emergencies in Ecuador

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