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Discovery of accessible locations using region-based geo-social data
2018
World wide web (Bussum)
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In this light, we propose and study a novel problem of discovering accessible locations in spatial networks using region-based geo-social data. ...
Such massive geo-social data enable many novel application. An emerging one is region-based accessible location discovery. ...
Acknowledgement This paper is partly supported by Natural Science Foundation of P.R.China ...
doi:10.1007/s11280-018-0538-5
fatcat:kmtli36aezevpphs3yhdihcywm
Social Interactions over Location-Aware Multimedia Systems
[chapter]
2015
Multimedia Data Mining and Analytics
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Then, we report some latest methods related to context detection and location-aware multimedia applications. We further present some analysis of geo-social data. ...
In this chapter, we first introduce some examples of location-aware multimedia data and social interaction data. ...
An example is used to explain how to make use of an iterative model for social expertise discovery [10] . ...
doi:10.1007/978-3-319-14998-1_5
fatcat:rukthanbmvckdfaeuaki4yqd4q
Inferring Location Types with Geo-Social-Temporal Pattern Mining
2020
IEEE Access
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The advent of location-based online social networks (LBSNs) has made it much easier to collect voluminous data about users in different locations or spatial regions. ...
In this paper, we propose a pattern mining approach, using the geo-social-temporal data collected from LBSNs, to infer types of different locations. ...
CONCLUSION In this paper, we proposed a geo-social-temporal mining approach to infer location types from location based social networks data. ...
doi:10.1109/access.2020.3018997
fatcat:rz67ryqm7velblvvspez33kzqq
From Research Objects to Research Networks: Combining Spatial and Semantic Search
2016
International Conference Geographic Information Science
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Constraints on data retrieval are based on the types of queries and services that current repositories offer, which contribute to their limited usability. ...
The spatial and semantic discovery of research objects extracted from sources available on the Web can be enabled with georeferenced and annotated metadata. ...
Use Cases Simple extension of metadata enables the combination of spatial and semantic discovery for research objects. ...
dblp:conf/giscience/LafiaS16
fatcat:pvoe6nlwfrctjenrkvy2ddx6k4
Introduction to Data Analytics and Data Mining for Social Media Minitrack
2014
2014 47th Hawaii International Conference on System Sciences
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Using their prototype implementation and a dataset of geo-located Twitter data, the authors evaluate the effectiveness of their strategies. ...
The third paper, "Using large scale aggregated knowledge for social media location discovery," is by Thom, Bosch, Krüger and Ertl. ...
Using their prototype implementation and a dataset of geo-located Twitter data, the authors evaluate the effectiveness of their strategies. ...
doi:10.1109/hicss.2014.183
dblp:conf/hicss/HaughtonXY14
fatcat:p3bhmihvgzbxhlcfojr45ss4iq
Discovery and Integration of Web 2.0 Content into Geospatial Information Infrastructures: A Use Case in Wild Fire Monitoring
[chapter]
2011
Lecture Notes in Computer Science
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In this paper, we present a web service, that implements a standard interface, offers a unique entry point for spatial data discovery, both in GII services and web 2.0 services. ...
We introduce a prototype as proof of concept in a forest fire scenario, where we illustrate how to leverage scientific data and web 2.0 content. ...
to integrate a set of Web 2.0 Services and improve data accessibility. ...
doi:10.1007/978-3-642-23300-5_5
fatcat:yv6cyy5ncbhktm5un62ignilwu
Towards Detecting Social Events by Mining Geographical Patterns with VGI Data
2018
ISPRS International Journal of Geo-Information
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Detecting events using social media data is important for timely emergency response and urban monitoring. ...
Current studies primarily use semantic-based methods, in which "bursts" of certain semantic signals are detected to identify emerging events. ...
We also thank Jittin Chaitamart for providing the valuable sample data.
Conflicts of Interest: The authors declare no conflicts of interest. ...
doi:10.3390/ijgi7120481
fatcat:znrbcoedtndnpbmowfpoitvlom
An Efficient Approach of Travel Recommendation Model from High Dimensional Databases – A Survey
2018
International Journal for Research in Applied Science and Engineering Technology
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The proliferation of digital cameras and the growing practice of online photo sharing using social media sites such as Flickr have resulted in huge volumes of geo tagged photos available on the Web. ...
Based on users' traveling preferences elicited from their travel experiences exposed on social media sites by sharing geo tagged photos, we propose a new method for recommending tourist locations that ...
The core component of the system is the data mining query language, based on the proposed framework, and capable of accommodating and combining disparate mining tasks into a multi-step knowledge discovery ...
doi:10.22214/ijraset.2018.4225
fatcat:girdkmqwnrf6vfwl3mxsxzcbem
Home is where your friends are: Utilizing the social graph to locate twitter users in a city
2016
Information Systems
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In addition, even if a mobile device is used, a flawed geo-location service can lead to missing geostamps, or geostamps that are too general to be informative. ...
This is an unrealistic assumption, since Twitter limits the number of data requests per user and charges a subscription fee for unrestricted access. ...
This material is based upon work partially supported by the Office of Naval Research under MURI grant N00014-08-1-1015 The authors would like to thank Myrto Vlazaki and Ioannis Katakis for their their ...
doi:10.1016/j.is.2015.10.011
fatcat:phy7zq6ezfadfdp4dvoamcx2tm
A multi-terabyte relational database for geo-tagged social network data
[article]
2013
arXiv
pre-print
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Despite their relatively low sampling factor, the freely available, randomly sampled status streams of Twitter are very useful sources of geographically embedded social network data. ...
In this paper we present the method of data collection, the database design, the data loading procedure and special treatment of geo-tagged and multi-lingual data. ...
Acknowledgment The authors thank the partial support of the European Union and the Euro- ...
arXiv:1311.0841v2
fatcat:b5iczpmtcnfppeswejlwkfcdta
Using Volunteered Geographic Information and Nighttime Light Remote Sensing Data to Identify Tourism Areas of Interest
2019
Sustainability
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Numerous studies have been accomplished to analyze and evaluate the tourism conditions of a place using free and near-real-time data sources such as social media. ...
Active tweet clusters generated using Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm and building footprint information are used to identify touristic places ...
Acknowledgments: We thank Dhiraj Pahari and Niraj Pahari for assisting us during the data collection and study area surveys. ...
doi:10.3390/su11174718
fatcat:cypm6l5x45hu7kjbqtl2iwdvn4
To Enhance Recommendation by Providing Location Privacy in GeoSocial Application
english
2015
International Journal of Innovative Research in Computer and Communication Engineering
english
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Now a days there are many geo social applications which are based on large extent, so people are more concern about the security of location and respective data stored at that location. ...
User stores encrypted data on the server by using transformations. When user allows recommender then they can access the users location and data. LocX provides more privacy for today's mobile devices. ...
INTRODUCTION Geo social networking is a type of social networking in which geographic services and capabilities such as geo coding (location) and geo tagging (metadata) are used to enable additional social ...
doi:10.15680/ijircce.2015.0305023
fatcat:m3j6x44iejazfgpjo64ebdllri
Clarifying the Role of Distance in Friendships on Twitter: Discovery of a Double Power-Law Relationship
[article]
2015
arXiv
pre-print
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Next, by utilizing geo-tagged mentions delivered by users to determine their locations, we introduce a two-stage distance estimation algorithm. ...
This study analyzes friendships in online social networks involving geographic distance with a geo-referenced Twitter dataset, which provides the exact distance between corresponding users. ...
As follow-up studies, using the data collected from Facebook [2] and three popular online location-based social networks (LBSNs) [3] , it was found that the probability distribution of friendship as ...
arXiv:1510.05763v1
fatcat:lupgtual6jfdfhgvo53qqugzo4
Analyzing The Density of Residents in Shanghai to Examine the Role of Big Data in the Development of Smart Cities
2021
Samvakti Journal of Research in Business Management
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This research may be useful in detecting congested locations in Shanghai so that regulatory or management authorities can better monitor and assist such regions, particularly during festivals, public events ...
This research may be helpful in the creation and upkeep of a smart city. ...
KDE use to discoveries from the geo-place record, as well as the checked-in thickness of operators for a illustration of the overall open in Shanghai. ...
doi:10.46402/2021.02.11
fatcat:sw3q7rkt6nclvnvvutabs6szhi
Location-Based Social Networks: Users
[chapter]
2011
Computing with Spatial Trajectories
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One is modeling the location history of an individual using the individual's trajectory data. ...
In this chapter, we introduce and define the meaning of location-based social network (LBSN) and discuss the research philosophy behind LBSNs from the perspective of users and locations. ...
Representative websites of such location-based social networking services include Flickr, Panoramio, and Geo-twitter. ...
doi:10.1007/978-1-4614-1629-6_8
fatcat:wblv2rposjfijdioqjnnlfluoe
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