Results 251 to 260 of about 231,718 (305)

Leveraging the power of groups for forced migrant populations impacted by war and torture: Strengthening family and social resources among Syrian refugees in Jordan. [PDF]

Psychol Trauma
Bunn M, Haidar A, Golden S, Hall BJ.
europepmc   +1 more source

HyAR-PPO: Hybrid Action Representation Learning for Incentive-Driven Task Offloading in Vehicular Edge Computing. [PDF]

Sensors (Basel)
Wang W, Li M, Wu H.
europepmc   +1 more source

Lived experiences of older adults and caregivers on social networks, social support from Chengalpattu, Tamil Nadu: a qualitative study using the Convoy Model of Social Relations. [PDF]

BMC Geriatr
Sivakumar SP, Palanisamy B, Sree S.
europepmc   +1 more source

Using Instagram for public education in trauma prevention: experience of an academic Trauma League. [PDF]

Trauma Surg Acute Care Open
Dos Santos HAF, Aguilar JMH, Dos Santos AVQ, Boaventura AP, Calderan TRA, Fraga GP.   +5 more
europepmc   +1 more source

Location Influence in Location-based Social Networks

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
Location-based social networks (LBSN) are social networks complemented with location data such as geo-tagged activ- ity data of its users. In this paper, we study how users of a LBSN are navigating between locations and based on this information we select the most influential locations.
Muhammad Aamir Saleem, Rohit Kumar 0002, Toon Calders, Xike Xie, Torben Bach Pedersen   +4 more
openaire   +3 more sources

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Recommendations in location-based social networks: a survey

GeoInformatica, 2015
Recent advances in localization techniques have fundamentally enhanced social networking services, allowing users to share their locations and location-related contents, such as geo-tagged photos and notes. We refer to these social networks as location-based social networks (LBSNs).
Jie Bao, David Wilkie, Mohamed F Mokbel   +2 more
exaly   +2 more sources

Query Processing in Location-Based Social Networks

, 2018
This thesis studied location based queries on social networks. By exploiting spatial and social data, social networks can offer many interesting services such as in public health, disaster management, tourism, marketing etc. Social relationships play a vital role in our daily lives to enable us in making right decisions in various activities and events
AMMAR SOHAIL (5986988)
openaire   +2 more sources

Predicting Visitors Using Location-Based Social Networks

2018 19th IEEE International Conference on Mobile Data Management (MDM), 2018
Location-based social networks (LBSN) are social networks complemented with users' location data, such as geo-tagged activity data. Predicting such activities finds application in marketing, recommendation systems, and logistics management. In this paper, we exploit LBSN data to predict future visitors at given locations. We fetch the travel history of
Muhammad Aamir Saleem, Felipe Soares Da Costa, Peter Dolog, Panagiotis Karras, Torben Bach Pedersen, Toon Calders   +5 more
openaire   +5 more sources

Analysis of a Location-Based Social Network

2009 International Conference on Computational Science and Engineering, 2009
Location-based Social Networks (LSNs) allow users to see where their friends are, to search location-tagged contentwithin their social graph, and to meet others nearby. The recent availability of open mobile platforms, such as Apple iPhones and Google Android phones, makes LSNs much more accessible to mobile users.To study how users share their ...
Nan Li, Guanling Chen
openaire   +1 more source