Representation and Analytical Models for Location-based Social Media Data and Tracking Data
Special Issue of International Journal of Geographical Information Science
Call for Submissions
The theme and scope
The advent of the age of location-based big data has brought about many research challenges for GIScientists. The classic geographical data representation models may not be able to capture all important aspects of the large volume of enriched location-based data and relationships among them. Similarly, such data have imposed tremendous challenges on the analytical approaches to the analysis and modeling of them. This special issue invites submissions that describes innovative research or review papers about representation models and/or analytical methods for location-based social media data or tracking data.
The special issue will tap into the pool of full paper submissions to the International Symposium on Location-based Social Media Data and Tracking Data (LSMTD), but it is open to all interested scholars. The pre-conference symposium will be held in Washington, DC, July 1-2, 2017 in DC. Please refer to http://gam.icaci.org/symposium-2017/ for more details of the event. While the symposium is broadly targeted for a wide range of research related to location-based social media data and tracking data, this special issue will focus on the themes of representation models or analytical models for such data.
The special issue will place emphasis on innovative research on representation models and analytical approaches to studying location-based big data. Example topics include, but are not limited to, the following:
- Data models for the representation of social media data or tracking data
- Geo-ontology for social media data or tracking data
- Complexity science approaches to studying location-based big data. The methods may be drawn from complex networks, power law statistics, fractal geometry, and scaling hierarchy, to name a few examples.
- Agent-based simulations of human mobility and interaction patterns using location-based big data
- Scalability issues with social media data or tracking data
- Big data analytics of social media data or tracking data
- Place modelling and understanding using social media data or tracking data
- Big data approach to studying urban dynamics
- Data models that address quality or privacy issues of location-based big data
Submissions to the special issue are open to all scholars, regardless of their participation in the symposium. All submissions should be made at https://easychair.org/conferences/?conf=lsmtd2017 by Feb. 15, 2017. The website provides options for both symposium participants and non-participants. Authors of suitable topics will be invited to submit full papers for consideration for the SI.
Authors who do not plan to attend the symposium are asked to submit a short abstract of no more than 250 words.
In either case, an invitation of a full paper submission will be made to authors of the described studies that fit the theme of the SI. Submissions of full papers can be made via the journal’s Manuscript submission site (https://mc.manuscriptcentral.com/ijgis). Please note that the invitation does not guarantee publication in the SI. All submissions will go through the standard IJGIS double-blind peer review process.
- Abstracts Due :
Feb. 15th, 2017Mar. 1, 2017
- Decisions on abstracts:
March 15th, 2017Mar. 30, 2017
- Full Papers Due: July 15th, 2017
Special Issue Guest Editors
- Xiaobai Angela Yao, University of Georgia, USA. Email: firstname.lastname@example.org
- Haosheng Huang, University of Zurich, Switzerland. Email: email@example.com
- Bin Jiang, University of Gävle, Sweden. Email:firstname.lastname@example.org
- Jukka Krisp, Augsburg University, Germany. Email:email@example.com
- Anthony Stefanidis, George Mason University, USA. Email:firstname.lastname@example.org