2010 Proceeding- General Chairs:
- Xiaofang Zhou,
- Wang-Chien Lee,
- Program Chairs:
- Wen-Chih Peng,
- Xing Xie
Social networking services have become very popular in recent years, especially among younger people. While many people still sit behind a desktop computer to upload photos, write blogs and communicate with friends in the virtual world, an increasing trend enabled by the development of wireless networks and location sensing technologies is to track and share personal location information on the fly with mobile devices. By adding a location dimension, social networking has now been brought from the virtual world back to real life and our real-life experiences can be shared in the virtual world in a convenient fashion. We define Location Based Social Networks (LBSN) as social networking services where people can track and share location-related information with each other, via either mobile or desktop computers. As location is one of the most important aspects in people's everyday lives, a lot of novel application scenarios can be supported by LBSN, e.g., trustworthy location recommendations can be collected and shared within LBSN and used to rank interesting locations, discover new places, people and activities. The objective of this workshop is to provide a single forum for researchers and technologists to discuss the state-of-the-art of LBSN development and applications, present their ideas and contributions, and set future directions in emerging innovative research for location based social networks.
Proceeding Downloads
Measuring geographical regularities of crowd behaviors for Twitter-based geo-social event detection
Recently, microblogging sites such as Twitter have garnered a great deal of attention as an advanced form of location-aware social network services, whereby individuals can easily and instantly share their most recent updates from any place. In this ...
A location predictor based on dependencies between multiple lifelog data
In this paper, we propose a method for predicting future locations of a person by exploiting the person's past lifelog data. To predict the future location of a person has many applications such as the delivery of information related to the predicted ...
Mining user similarity from semantic trajectories
In recent years, research on measuring trajectory similarity has attracted a lot of attentions. Most of similarities are defined based on the geographic features of mobile users' trajectories. However, trajectories geographically close may not ...
Activity identification from GPS trajectories using spatial temporal POIs' attractiveness
GPS (Globe Positioning System) trajectory data provide a new way for city travel analysis others than traditional travel diary data. But generally raw GPS traces do not include information on trip purposes or activities. Earlier studies addressed this ...
Towards location-based social networking services
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 ...
Querying geo-social data by bridging spatial networks and social networks
Recording the location of people using location-acquisition technologies, such as GPS, allows generating life patterns, which associate people to places they frequently visit. Considering life patterns as edges that connect users of a social network to ...
Using location based social networks for quality-aware participatory data transfer
The sensing systems that monitor physical environments rely on communication infrastructures (wired or wireless) to collect data from the sensors embedded in the environment. However, in many urban environments pre-existing communication infrastructures ...
DC2S: a dynamic car sharing system
This paper presents DC2S, a dynamic car sharing system. It aims to solve traffic congestion problem by reducing empty seats traveling. In DC2S, dynamic means pervasive and smart. DC2S involves two main components. One is the pervasive client (mainly ...
Spatio-temporal proximity and social distance: a confirmation framework for social reporting
Social reporting is based on the idea that the members of a location-based social network observe real-world events and publish reports about their observations. Application scenarios include crisis management, bird watching or even some sorts of mobile ...
Anonymizing user location and profile information for privacy-aware mobile services
Due to the growing use of mobile devices, location-based services have become popular. A location service often requires the user's exact location to provide appropriate services and this brings the risk of threats to privacy. In this paper, we propose ...
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Acceptance Rates
| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| LBSN '09 | 15 | 8 | 53% |
| Overall | 15 | 8 | 53% |