Results 21 to 30 of about 699,381 (334)
Predicting Venues in Location Based Social Network
Computer Science & Information Technology (CS & IT), 2017 The circulation of the social networks and the evolution of the mobile phone devices has led to a big usage of location based social network applications such as Foursquare, Twitter, Swarm and Zomato on mobile phone devices, which signifies a huge dataset containing a blend of information about users behaviors, social society network of each users and ...
Almallah, Omar, ALBAYRAK, Songül
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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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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
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Ensemble mobility predictor based on random forest and Markovian property using LBSN data
Journal of Internet Services and Applications, 2020 The ubiquitous connectivity of Location-Based Systems (LBS) allows people to share individual location-related data anytime. In this sense, Location-Based Social Networks (LBSN) provides valuable information to be available in large-scale and low-cost ...
Felipe Araújo +5 more
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Multi-Source Location Algorithm for Malicious Information in Online Social Network [PDF]
Jisuanji gongcheng, 2019 To address the high complexity of the location algorithm based on the topology of the whole network,which is led by a coverage overlap between malicious information sources,a subgraph division algorithm based on community structure is proposed.The ...
YUAN Deyu, HUANG Shuhua, YE Mengxi, WANG Xiaojuan
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Towards location-based social networking services [PDF]
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks, 2010 Social networking applications have become very important web services that provide Internet-based platforms for their users to interact with their friends. With the advances in the location-aware hardware and software technologies, location-based social networking applications have been proposed to provide services for their users, taking into account
Chi-Yin Chow +2 more
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IEEE Access, 2020 The location-based social network (LBSN) contains a large amount of user check-in data informations, in order to better improve the recommendation performance and avoid the impact of user check-in data sparsity.
Juan Li, Xiaofeng Wang, Wanjing Feng
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Event Detection in Location-Based Social Networks [PDF]
, 2017 With the advent of social networks and the rise of mobile technologies, users have become ubiquitous sensors capable of monitoring various real-world events in a crowd-sourced manner. Location-based social networks have proven to be faster than traditional media channels in reporting and geo-locating breaking news, i.e.
Capdevila Pujol, Joan +2 more
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Socio-spatial influence maximization in location-based social networks [PDF]
, 2019 Identifying influential nodes in social networks is a key issue in many domains such as sociology, economy, biology, and marketing. A common objective when studying such networks is to find the minimum number of nodes with the highest influence.
MALEK, Mohammad Reza +2 more
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Analyzing Social-Geographic Human Mobility Patterns Using Large-Scale Social Media Data
ISPRS International Journal of Geo-Information, 2020 Social media data analytics is the art of extracting valuable hidden insights from vast amounts of semi-structured and unstructured social media data to enable informed and insightful decision-making.
Zeinab Ebrahimpour +4 more
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