These proceedings contain the papers selected for presentation at the eighth edition of the ACM SIGSPATIAL Workshop on Location-Based Social Networks (LBSN 2015), which is being held in conjunction with the ACM SIGSPATIAL Conference in 2015.
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Utilising Location Based Social Media in Travel Survey Methods: bringing Twitter data into the play
A growing body of literature has been devoted to harnessing the crowdsourcing power of social media by extracting knowledge from the huge amounts of information available online. This paper discusses how social media data can be used indirectly and with ...
ST-Diary: A Multimedia Authoring Environment for Crowdsourced Spatio-Temporal Events
- Akhlaq Ahmad,
- Imad Afyouni,
- Abdullah Murad,
- Md. Abdur Rahman,
- Faizan Ur Rehman,
- Bilal Sadiq,
- Saleh Basalamah,
- Mohamed Ridza Wahiddin
The intensive use of social media through mobile devices has leveraged the development of digital diary applications that keep track of social events as well as geotagged multimedia content. In a large crowd where users with cultural diversity perform ...
LBSN Data and the Social Butterfly Effect (Vision Paper)
LBSN data are well-suited for research questions and perspectives on social or spatial phenomena. Researchers often subset large LBSN datasets into different social networks (using snowball sampling), temporal or spatial granularities, to test for ...
Of Oxen and Birds: Is Yik Yak a useful new data source in the geosocial zoo or just another Twitter?
The landscape of social media applications is littered with novel approaches to using location information. The latest platform to emerge in this geosocial media realm is Yik Yak, an application that allows users to share geo-tagged, (currently) text-...
Low-Complexity Detection of POI Boundaries Using Geo-Tagged Tweets: A Geographic Proximity Based Approach
Users tend to check in and post their statuses in location-based social networks (LBSNs) to describe that their interests are related to a point-of-interest (POI). Since the relevance of the data to the POI varies according to the geographic distance ...
Socio Textual Mapping
Location-based social networks are a source of geo-spatial data enriched by textual information, such as news, travel blogs, tweets and user recommendations. Such data may describe an event, an experience or a point of interest that is relevant to a ...
EBSCAN: An Entanglement-based Algorithm for Discovering Dense Regions in Large Geo-social Data Streams with Noise
The remarkable growth of social networking services on global positioning system (GPS)-enabled handheld devices has produced enormous amounts of georeferenced big data. Given a large spatial dataset, the challenge is to effectively discover dense ...
- Proceedings of the 8th ACM SIGSPATIAL International Workshop on Location-Based Social Networks
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
LBSN '09 | 15 | 8 | 53% |
Overall | 15 | 8 | 53% |