Results 131 to 140 of about 3,208 (177)
Information SystemsSome of the next articles are maybe not open access.
Related searches:
Related searches:
SIGSPATIAL Special, 2012
Social networks have been prevalent on the Internet, attracting many professionals from a variety of fields. By adding a location dimension, we can bring online social networks back to the physical world and share our real-life experiences in the virtual world conveniently.
Yu Zheng, Mohamed F. Mokbel
openaire +1 more source
Social networks have been prevalent on the Internet, attracting many professionals from a variety of fields. By adding a location dimension, we can bring online social networks back to the physical world and share our real-life experiences in the virtual world conveniently.
Yu Zheng, Mohamed F. Mokbel
openaire +1 more source
IEEE Internet of Things Journal
Trajectory data analysis is crucial in various applications but presents significant privacy risks, as location data can reveal sensitive information. Existing privacy protection methods, such as spatiotemporal K-anonymity and L-diversity, are vulnerable
Minhong Dong +7 more
semanticscholar +1 more source
Trajectory data analysis is crucial in various applications but presents significant privacy risks, as location data can reveal sensitive information. Existing privacy protection methods, such as spatiotemporal K-anonymity and L-diversity, are vulnerable
Minhong Dong +7 more
semanticscholar +1 more source
Social-IFD: Personalized Influential Friends Discovery Based on Semantics in LBSN
ICC 2020 - 2020 IEEE International Conference on Communications (ICC), 2020Social influence is a hot topic in social network research, and this paper focuses on how to search for the most influential friends for a target user. The key point is to measure the influence between different users, such as adjacent users and the non ...
Xiang Pan, Ruimin Hu, Dengshi Li
semanticscholar +1 more source
SIGSPATIAL Special, 2010
Social networking services have become extremely popular in recent years, especially among young people. However, they are still rooted in the virtual world. People usually need to sit behind a desktop computer to upload photos, write blogs and communicate with friends. The development of wireless networks and location sensing technologies have made it
openaire +1 more source
Social networking services have become extremely popular in recent years, especially among young people. However, they are still rooted in the virtual world. People usually need to sit behind a desktop computer to upload photos, write blogs and communicate with friends. The development of wireless networks and location sensing technologies have made it
openaire +1 more source
A model for profit maximization in LBSNs
2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA), 2016Profit Maximization is the problem of finding an optimal strategy to maximize the expected total profit earned by the end of an influence diffusion process under a given propagation model. In the previous works the strategy of influencing the most profitable (influential) users in a social network in order to start the viral marketing campaign has been
Mahnoosh Fatahi, Farhad Mardukhi
openaire +1 more source
Synergizing LLM Agents and Knowledge Graph for Socioeconomic Prediction in LBSN
arXiv.orgThe fast development of location-based social networks (LBSNs) has led to significant changes in society, resulting in popular studies of using LBSN data for socioeconomic prediction, e.g., regional population and commercial activity estimation. Existing
Zhilun Zhou +5 more
semanticscholar +1 more source
Detecting overlapping communities in LBSNs by fuzzy subtractive clustering
Social Network Analysis and Mining, 2018With the increasing popularity of location-based social networks (LBSNs), community detection has emerged as an important and practical issue. One of the main shortcomings of the previous methods is that cluster’s centers have been selected randomly in clustering the communities; therefore, different results are obtained in each execution.
Mohammad Ghane’i-Ostad +2 more
openaire +1 more source
Investigating City Characteristics Based on Community Profiling in LBSNs
2012 Second International Conference on Cloud and Green Computing, 2012While the detection of social subgroups (i.e., communities) has always been a fundamental task in social network analysis, few efforts has been made to characterize the detected community. Meanwhile, to effectively facilitate applications based on the community structure, it is very important to understand the features of each community.
Wang Z. +5 more
openaire +1 more source
A Personalized Geographic-Based Diffusion Model for Location Recommendations in LBSN
2014 9th Latin American Web Congress, 2014Location Based Social Networks (LBSN) have emerged with the purpose of allowing users to share their visited locations with their friends. Foursquare, for instance, is a popular LBSN where users endorse and share tips about visited locations. In order to improve the experience of LBSN users, simple recommender services, typically based on geographical ...
Iury Nunes, Marinho, Leandro Balby
openaire +1 more source