Results 11 to 20 of about 820 (209)
Significant Geo-Social Group Discovery over Location-Based Social Network
Sensors, 2021 Geo-social community detection over location-based social networks combining both location and social factors to generate useful computational results has attracted increasing interest from both industrial and academic communities.
Wei Li, Sisi Zlatanova
doaj +3 more sources
ISPRS International Journal of Geo-Information, 2015 Due to its relatively high availability and low cost, location-based social network (LBSN) (e.g., Foursquare) data (a popular type of volunteered geographic information) seem to be an alternative or complement to survey data in the study of travel ...
Yeran Sun, Ming Li
doaj +3 more sources
The Detection of Anomalous Users in Location-Based Social Networks by Using Graph Rules [PDF]
مدیریت مهندسی و رایانش نرم, 2022 An analysis of social networks is necessary to detect anomalous users, due to the popularity of these networks. This paper aims to detect anomalous users in location based social networks. For this purpose, an ego graph is computed for each user, and the
Fatemeh Edalati, Morteza Romoozi
doaj +1 more source
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
doaj +1 more source
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.
Martin J. Chorley +2 more
openaire +1 more source
Language Modeling on Location-Based Social Networks [PDF]
ISPRS International Journal of Geo-Information, 2022 The popularity of mobile devices with GPS capabilities, along with the worldwide adoption of social media, have created a rich source of text data combined with spatio-temporal information. Text data collected from location-based social networks can be used to gain space–time insights into human behavior and provide a view of time and space from the ...
Juglar Diaz +2 more
openaire +2 more sources
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
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
JUTI: Jurnal Ilmiah Teknologi Informasi, 2021 Attacks on network security can happen anywhere. Using Geo-Social Networks (GSN), i.e., a graph that combines social network data and spatial information, we can find the potential attackers based on the given location.
Hafara Firdausi +3 more
doaj +1 more source