Results 11 to 20 of about 1,752,389 (321)
Personality and location-based social networks [PDF]
Computers in Human Behavior, 2015 Location-based social networks (LBSNs) are a recent phenomenon for sharing a presence at everyday locations with others and have the potential to give new insights into human behaviour. To date, due to barriers in data collection, there has been little research into how our personality relates to the categories of place that we visit.
Chorley, Martin J. +2 more
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International Journal of Information Management Data Insights, 2023 Point of Interest (POI) recommendation is an important Location-Based Social Network (LBSN) task that has become a hotspot in the past decade. It aims to exploit the user's preferences for venues and recommend the POIs for their next visit.
Malika Acharya +2 more
doaj +1 more source
International Journal of Applied Earth Observations and Geoinformation, 2021 One of the constraints in Wireless Sensor Network (WSN) is the limited power of distributed interconnected sensor nodes over the space. There are several proposed architectures for handling power consumption in a WSN.
Sepehr Honarparvar +3 more
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Concurrency and Computation, 2022 Today, millions of active users spend a percentage of their time on location‐based social networks like Yelp and Gowalla and share their rich information.
S. Safavi, Mehrdad Jalali
semanticscholar +1 more source
USER ACTIVITIES ANALYSIS IN LOCATION BASED SOCIAL NETWORK VIA ASSOCIATION RULES
ICTACT Journal on Soft Computing, 2021 In recent years, the field of the Internet of Things (IoT), including smart and wearable devices, has witnessed a tremendous advancement leading to the collection of a wide variety of information not only about users but also their activities via various
Yahia Belayadi +3 more
doaj +1 more source
Location-Based Social Networking Data [PDF]
Transportation Research Record: Journal of the Transportation Research Board, 2014 Trip distribution is an invaluable portion of the transportation planning process; this distribution leads to the creation of origin–destination (O-D) matrices. Location-based social networking (LBSN) has increased in popularity and sophistication and has emerged as a new travel demand data source.
Peter J. Jin +5 more
openaire +1 more source
An Entity-Based Fine-Grained Geolocalization of User Generated Short Text
IEEE Access, 2020 Recently, the fine-grained geolocalization of user-generated short text (UGST), which can benefit many location-based applications, has been attracting the attention of academica.
Yongjun Li, Wenli Ji, Yao Deng, Xing Gao
doaj +1 more source
Social network user geolocating method based on weighted least squares
网络与信息安全学报, 2022 When providing location-based dating and other location-based services, social networks will confuse the displayed user distance text to protect the user’s location privacy.In order to verify whether the current location confusion mechanism adopted by ...
Wenqi SHI, Xiangyang LUO, Jiashan GUO
doaj +3 more sources
ISPRS Int. J. Geo Inf., 2020 The aim of this study is to analyze and compare the patterns of behavior of tourists and residents from Location-Based Social Network (LBSN) data in Shanghai, China using various spatiotemporal analysis techniques at different venue categories. The paper
Naimat Ullah Khan Khan, W. Wan, Shui Yu
semanticscholar +1 more source
Approaches to estimate location of social network users based on social graph
Труды Института системного программирования РАН, 2018 Many applications require information about the geolocation of users, which is not always available. Among the users of Twitter only about 26% indicate the name of the city in their profiles, about 30% of users of VKontakte leave this field blank.
Y. S. Trofimovich +2 more
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