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Location-Based Social Network Analysis

Encyclopedia of Social Network Analysis and Mining. 2nd Ed., 2017
Shenglin Zhao
openaire   +2 more sources

GeoLife2.0: A Location-Based Social Networking Service

2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware, 2009
GeoLife2.0 is a GPS-data-driven social networking service where people can share life experiences and connect to each other with their location histories. By mining people’s location history, GeoLife can measure the similarity between users and perform personalized friend recommendation for an individual. Later, we can predict the individual’s interest
Yu Zheng 0004   +3 more
openaire   +1 more source

Secure hitch in location based social networks

Computer Communications, 2017
We propose a privacy-preserving proximity based location query (PPLQ) protocol, which enables each querier to get the location information of publisher without violating users location privacy.The proposed protocol utilizes prefix membership verification and predicate encryption technique to achieve the secure multi-dimensional keyword search and ...
Shiwen Zhang 0004   +5 more
openaire   +1 more source

Providing recommendations on location-based social networks

Journal of Ambient Intelligence and Humanized Computing, 2016
During the last decade, in parallel with the rapid growth of mobile communications and devices, location-based social networks have met a tremendous growth with the acceptance of the public being constantly increasing. Users have access to a plethora of venues and points of interest, while they are able to share their visits to various locations along ...
Pavlos Kosmides   +6 more
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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   +5 more
openaire   +4 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
openaire   +1 more source

Community-based influence maximization in location-based social network

World wide web (Bussum), 2021
Xuanhao Chen   +4 more
semanticscholar   +1 more source

Location-Based Emerging Event Detection in Social Networks

2013
This paper proposes a system for the early detection of emerging events by grouping micro-blog messages into events and using the message-mentioned locations to identify the locations of events. In our research we correlate user locations with event locations in order to identify the strong correlations between locations and events that are emerging ...
Sayan Unankard   +2 more
openaire   +2 more sources

Evaluating geo-social influence in location-based social networks

Proceedings of the 21st ACM international conference on Information and knowledge management, 2012
The emerging location-based social network (LBSN) services not only allow people to maintain cyber links with their friends, but also enable them to share the events happening on them at different locations. The geo-social correlations among event participants make it possible to quantify mutual user influence for various events.
Chao Zhang 0014   +4 more
openaire   +1 more source

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