4,442 Hits in 4.1 sec

RAIST: Learning Risk Aware Traffic Interactions via Spatio-Temporal Graph Convolutional Networks [article]

Videsh Suman, Aniket Bera
2020 arXiv   pre-print
We leverage spatio-temporal graph convolutional network (ST-GCN) to train the graph edges.  ...  A key aspect of driving a road vehicle is to interact with the other road users, assess their intentions and make risk-aware tactical decisions.  ...  Spatio-Temporal Graph Reasoning: With the interaction graphs G 1:Γ formulated, we use spatio-temporal graph convolutional network (ST-GCN) [52] as the graph learning module over them.  ... 
arXiv:2011.08722v1 fatcat:bivvboak3jgqhkintrgvzysok4

Special issue: When social media meets physical world

Rongrong Ji, Yue Gao, Qi Tian, Qionghai Dai, Ralf Steinmetz
2015 Multimedia Systems  
Besides the linking across modalities (tagging and With the advent of Web 2.0 era, there is an explosive growth of social media data available on user-sharing websites such as Flickr, Youtube, and Zooomr  ...  (An incremental probabilistic model for temporal theme analysis of landmarks) further propose a novel Incremental Spatio-Temporal Theme Model (ISTTM), which can incrementally mine temporal themes that  ... 
doi:10.1007/s00530-015-0498-x fatcat:tyzh2f3fofe4rewtl7kqqng3ne

User modeling for point-of-interest recommendations in location-based social networks: the state-of-the-art [article]

Shudong Liu
2017 arXiv   pre-print
, geographical information-based user modeling, spatio-temporal information-based user modeling, and geo-social information-based user modeling.  ...  Location-based social networks(LBSNs)allow users to check-in at a physical location and share daily tips on points-of-interest (POIs) with their friends anytime and anywhere.  ...  Spatio-Temporal information-base d user modeling (1) Time-aware user modeling The time factor is considered a contextual factor and used to enhance the POI recommendation system.  ... 
arXiv:1712.06768v1 fatcat:nzmsjj6kjzby7ldi3czf6zlkye

A Survey on Deep Learning Based Point-Of-Interest (POI) Recommendations [article]

Md. Ashraful Islam, Mir Mahathir Mohammad, Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali
2020 arXiv   pre-print
Location-based Social Networks (LBSNs) enable users to socialize with friends and acquaintances by sharing their check-ins, opinions, photos, and reviews.  ...  for a user.  ...  [84] proposed a model called Geographical-Temporal Awareness Hierarchical Attention Network (GT-HAN) .  ... 
arXiv:2011.10187v1 fatcat:3uampnqerfdvnpuzrxcrsjviwq

Mapping Land Use Dynamics Using the Collective Power of the Crowd [chapter]

Christoph Aubrecht, Joachim Ungar, Dilek Ozceylan Aubrecht, Sérgio Freire, Klaus Steinnocher
2018 Earth Observation Open Science and Innovation  
The presented concepts illustrate the way forward with regard to advanced spatio-temporal decision support for a variety of applications stretching across the traditional LULC domain including improved  ...  A major constraint of location-based social network (LBSN) data and VGI in general is their varying representativeness and partly low and uneven penetration rate across different sectors of society and  ... 
doi:10.1007/978-3-319-65633-5_10 fatcat:nykfoinvmzf7novyikdtwt3dtq

Studying the Spatio-Temporal Dynamics of Small-Scale Events in Twitter

Paul Mousset, Yoann Pitarch, Lynda Tamine
2018 Proceedings of the 29th on Hypertext and Social Media - HT '18  
events that we can identify from users' posts that significantly differ from topic distribution, focus concentration and propagation distance perspectives across time.  ...  repository that collects the work of Toulouse researchers and makes it freely available over the web where possible To cite this version: Mousset, Paul and Pitarch, Yoann and Tamine, Lynda Studying the Spatio-Temporal  ...  Spatio-temporal dynamic trends (RQ2) Here, we cross the spatial and temporal perspectives with the aim of investigating the evolving spatial properties of events across their lifetimes.  ... 
doi:10.1145/3209542.3209561 dblp:conf/ht/MoussetPT18 fatcat:tksqzyhd2zah7myq47xxar2sdi

Ubiquitous Geo-Sensing for Context-Aware Analysis: Exploring Relationships between Environmental and Human Dynamics

Günther Sagl, Thomas Blaschke, Euro Beinat, Bernd Resch
2012 Sensors  
Although such context-aware analysis can potentially enable a more holistic understanding of spatio-temporal processes, it is rarely documented in the scientific literature yet.  ...  Ubiquitous geo-sensing enables context-aware analyses of physical and social phenomena, i.e., analyzing one phenomenon in the context of another.  ...  User-generated traffic in mobile phone networks, what we consider 'large-scale sensors', reflects the spatio-temporal activity of their subscribers.  ... 
doi:10.3390/s120709800 pmid:23012571 pmcid:PMC3444129 fatcat:qlrlpiu65nhjxfacdthlcwtkjm

Diversity in Urban Social Media Analytics [chapter]

Jie Yang, Claudia Hauff, Geert-Jan Houben, Christiaan Titos Bolivar
2016 Lecture Notes in Computer Science  
It is well-known though, that the usage and adoption of social media profoundly differ across user segments, cities, as well as countries.  ...  This paper presents an observational study of the geo-located activities of users across two social media platforms, performed over a period of three weeks in four European cities.  ...  This work was carried out on the Dutch national einfrastructure with the support of SURF Cooperative.  ... 
doi:10.1007/978-3-319-38791-8_19 fatcat:5nzzuruev5hldkybd764zuhiga

From context to content

Marc Davis, Simon King, Nathan Good, Risto Sarvas
2004 Proceedings of the 12th annual ACM international conference on Multimedia - MULTIMEDIA '04  
In particular, combining and sharing spatial, temporal, and social contextual metadata from a given user and across users allows us to make inferences about media content.  ...  This paper describes a method for generating metadata for photos using spatial, temporal, and social context.  ...  By choosing temporal, spatial, and social context, we were able to use the existing camera phone and network infrastructure to gather this information for a given user and across groups of users, algorithmically  ... 
doi:10.1145/1027527.1027572 dblp:conf/mm/DavisKGS04 fatcat:s2updw55cbd2dd4af7v4dqr75e

Spatio-Temporal Analytics for Exploring Human Mobility Patterns and Urban Dynamics in the Mobile Age

Song Gao
2014 Spatial Cognition and Computation  
In this research, we present a spatio-temporal analytical framework including spatiotemporal visualization (STV), space-time kernel density estimation (STKDE), and spatio-temporal-autocorrelation-analysis  ...  We also investigated several statistical measures that extend the classic spatial association indices for spatio-temporal autocorrelation analysis.  ...  It could help the identification of individual-based spatio-temporal recurring trends and group-based similarity patterns.  ... 
doi:10.1080/13875868.2014.984300 fatcat:g3nxghutend3lgik5hrwyqti6u

Social media data for conservation science: A methodological overview

Tuuli Toivonen, Vuokko Heikinheimo, Christoph Fink, Anna Hausmann, Tuomo Hiippala, Olle Järv, Henrikki Tenkanen, Enrico Di Minin
2019 Biological Conservation  
Specifically, we (i) describe what kind of relevant information can be retrieved from social media platforms, (ii) provide a detailed overview of advanced methods for spatio-temporal, content and network  ...  Combined with other data sources and carefully considering the biases and ethical issues, social media data can provide a complementary and cost-efficient information source for addressing the grand challenges  ...  Spatio-temporal analysis Spatio-temporal analyses of social media data take advantage of the geographic information and timestamp elements of social media posts (see Section 3.3).  ... 
doi:10.1016/j.biocon.2019.01.023 fatcat:nxs2oh6cfbaeln2jiyg4zg5uby

Re-Identification Risk versus Data Utility for Aggregated Mobility Research Using Mobile Phone Location Data

Ling Yin, Qian Wang, Shih-Lung Shaw, Zhixiang Fang, Jinxing Hu, Ye Tao, Wei Wang, Wei-Xing Zhou
2015 PLoS ONE  
The first step is to apply two reported attack models, the top N locations and the spatio-temporal points, to evaluate the re-identification risks in Shenzhen City, a metropolis in China.  ...  The aim of this study is to reveal the re-identification risks from a Chinese city's mobile users and to examine the quantitative relationship between re-identification risk and data utility for an aggregated  ...  This finding raises awareness that the re-identification risks in call detail records vary across regions, and therefore that methods and institutions of protecting privacy when sharing detailed individual  ... 
doi:10.1371/journal.pone.0140589 pmid:26469780 pmcid:PMC4607417 fatcat:tr36cmffovbgrc2qwudgwrfkxe

2020 Index IEEE Transactions on Emerging Topics in Computing Vol. 8

2021 IEEE Transactions on Emerging Topics in Computing  
., Earthquake Prediction Based on Spatio-Temporal Data Mining: An LSTM Network Approach; TETC Jan.  ...  -March 2020 126-136 Earthquake Prediction Based on Spatio-Temporal Data Mining: An LSTM Network Approach. Wang, Q., +, TETC Jan.  ... 
doi:10.1109/tetc.2021.3055725 fatcat:fmc4ufjcezbtrfuxeig5m35bo4

Twitris: A System for Collective Social Intelligence [chapter]

Amit Sheth, Ashutosh Jadhav, Pavan Kapanipathi, Chen Lu, Hemant Purohit, Gary Alan Smith, Wenbo Wang
2014 Encyclopedia of Social Network Analysis and Mining  
system for collective intelligence," (1343041), and "PFI:AIR -TT: Market Driven Innovations and Scaling up of Twitris -A System for Collective Social  ...  This work was partially supported by these NSF funded grants: "SoCS: Social Media Enhanced Organizational Sensemaking in Emergency Response" (IIS1111182), "I-Corps: Towards Commercialization of Twitrisa  ...  Twitris v2 research that focused on coordination during disasters also led to integratingTwitris: A System for Collective Social Intelligence, Fig. 5 Twitris v1 user interface with spatio-temporal slice  ... 
doi:10.1007/978-1-4614-6170-8_345 fatcat:zvgnhydcfzdqnlrkspcv43ifzq

PlanetSense: A Real-time Streaming and Spatio-temporal Analytics Platform for Gathering Geo-spatial Intelligence from Open Source Data [article]

Gautam S. Thakur, Budhendra L. Bhaduri, Jesse O. Piburn, Kelly M. Sims, Robert N. Stewart, Marie L. Urban
2015 arXiv   pre-print
Albeit, if this approach has proven effective in several cases, such as land use identification and route mapping, it has severely restricted the ability of researchers to inculcate current information  ...  , we propose PlanetSense, a platform for geospatial intelligence that is built to harness the existing power of archived data and add to that, the dynamics of real-time streams, seamlessly integrated with  ...  AGI data is mainly contributed through the use of online social networks, such as Twitter and Facebook, where the users of these tools share responses, concerns, information etc. that can provide an additional  ... 
arXiv:1507.05245v1 fatcat:taioonemgzf5rhpoceg27kgnb4
« Previous Showing results 1 — 15 out of 4,442 results