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<span>Dear Colleagues,</span>
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<div>Apologies for cross-posting. We would like to invite you to submit research articles to the Special issue "Advances in Social Network Analysis – Spatio-Temporal and Semantic Methods" in the Open Access Journal ISPRS International Journal of Geo-Information. <span style="font-family: Calibri, Arial, Helvetica, sans-serif; background-color: rgb(255, 255, 255); display: inline !important">More
information and the full call for papers can be found at <a href="https://www.mdpi.com/journal/ijgi/special_issues/social_spatial" id="LPNoLP307050">
https://www.mdpi.com/journal/ijgi/special_issues/social_spatial</a></span></div>
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<div><span style="font-family: Calibri, Arial, Helvetica, sans-serif; background-color: rgb(255, 255, 255); display: inline !important">Submission deadline: 30 June 2020.</span></div>
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<div>Data from geospatial applications, such as social media, location-based service (LBS) and volunteered geographic information (VGI) platforms, has become a prominent source for modeling human behavior and for better understanding complex social dynamics
in geographic spaces. The massive amount of multi-dimensional data (spatial, temporal, semantic) from these sources is typically unstructured and thus calls for an advance in data representation, modeling, analysis, and visualization for the successful transition
from data to information. This Special Issue is inviting contributions that demonstrate integrated analysis of spatial, temporal, and semantic data from social networks, including their content, linkage, and structure, towards a better understanding of social
behavior, human interaction patterns and the dynamic characteristics of real-world phenomena and events. This involves novel use of machine learning approaches, analysis frameworks, data mining, and (geo-)statistical methods to exploit unstructured content
of social network data. This Special Issue also encourages the demonstration of new analytical tools, discussion of current data privacy and licensing issues, the exploration of data from lesser known social media, LBS, and VGI platforms, and the application
of fusion methods of data across multiple platforms.</div>
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<div>We expect contributions related to the following topics:<br>
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<div>- Location-based social networks<br>
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<div>- Real time data exploration<br>
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<div>- Data mining<br>
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<div>- Data fusion<br>
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<div>- Scalable frameworks<br>
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<div>- Unstructured data<br>
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<div>- Artificial intelligence and machine learning<br>
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<div>- Spatio-temporal analytics<br>
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<div>- Semantic analysis<br>
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<div>- User behavior analysis<br>
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<div>Please feel free to circulate the call within your networks.<br>
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<div>Best wishes,<br>
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<span>Levente Juhász, Hartwig H. Hochmair and Bernd Resch</span></div>
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<span style="margin:0px; font-size:10pt"><b>Dr. Levente Juhász<br>
</b></span><span style="margin:0px; font-size:10pt">Research Associate<br>
</span><span style="margin:0px; font-size:10pt"><a href="http://maps.fiu.edu/gis/about/staff/783/dr.-levente-juhasz" title="http://maps.fiu.edu/gis/about/staff/783/dr.-levente-juhasz" style="margin:0px">GIS Center</a><span> </span>@ Florida International University</span><span style="margin:0px; font-size:10pt"><br>
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<span style="margin:0px; font-size:10pt">E</span><span style="margin:0px; font-size:10pt">: ljuhasz@fiu.edu | </span><span style="margin:0px; font-size:10pt">W: </span><span style="margin:0px; font-size:10pt"><a href="https://blog.jlevente.com/" style="margin:0px">blog.jlevente.com</a></span><br>
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<span style="margin:0px; font-size:10pt">T: (+1) 305-348-6444 |Twitter: <a href="https://twitter.com/juhaszlevi" style="margin:0px">@juhaszlevi</a></span></p>
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