Professor Spitzberg awarded the 2015 Gerald R. Miller Outstanding Book Award

Footer Logo 2

Congratulations to Professor Brian Spitzberg for receiving the 2015 Gerald R. Miller Outstanding Book Award from the National Communication Association’s Interpersonal Communication Division!  The title of his book is “The Dark Side of Relationship Pursuit: From Attraction to Obsession and Stalking” (2nd ed.)”  Dr. Spitzberg’s achievement will be honored with a spotlight panel next year, at NCA’s 2016 convention in Philadelphia.

View it on the Wiley Online Library

2015 Best Methods Award at the SM&S International Conference

The HDMA Research Team won the Best Methods Paper Award at the 2015 International Conference of Social Media and Society (July 27 – 29, 2015, Toronto, Canada).  

 

SONY DSC

Dr. Ming-Hsiang Tsou accepting the award at the 2015 SM&S International Conference

2015-07-29 17.56.54

 

Authors: Ming-Hsiang Tsou, Chin-Te Jung, Christopher Allen, Jiue-An Yang, Jean-Mark Gawron, Brian H. Spitzberg & Su Han “Social Media Analytics and Research Test-bed (SMART Dashboard)”

http://dl.acm.org/citation.cfm?doid=2789187.2789196

Abstract:

We developed a social media analytics and research testbed (SMART) dashboard for monitoring Twitter messages and tracking the diffusion of information in different cities. SMART dashboard is an online geo-targeted search and analytics tool, including an automatic data processing procedure to help researchers to  1) search tweets in different cities;  2) filter noise (such as removing redundant retweets and using machine learning methods to improve precision);  3) analyze social media data from a spatiotemporal perspective, and  4) visualize social media data in various ways (such as weekly and monthly trends, top URLs, top retweets, top mentions, or top hashtags). By monitoring social messages in geo-targeted cities, we hope that SMART dashboard can assist researchers investigate and monitor various topics, such as flu outbreaks, drug abuse, and Ebola epidemics at the municipal level.

GeoViewer for the 2015 Nepal Earthquake

HDMA GeoViewer for Nepal Earthquake Disaster Response and Assistance

 

Free and open web app to track real-time messages, pictures, and locations from social media (Twitter) for disaster response and assistance efforts.

Screen Shot 2015-04-26 at 2.02.08 PM

http://vision.sdsu.edu/ec2/geoviewer/nepal-kathmandu#

 

The Center for Human Dynamics in the Mobile Age (HDMA) at San Diego State University developed a web-based social media mapping application, called “GeoViewer”, which can visualize the location-based social media (Twitter) in various cities and locations. This tool has collected real-time location-based tweets in Nepal and nearby areas since April 25, 2015. Users can search for the most recent tweets or historical tweets (since 4/25) by using keywords, spatial boundaries, or time. The mapping functions include hot spots, cluster maps, two base maps (OpenStreetMap and ESRI Satellite imagery layers) with adjustable transparency settings.

The GeoViewer [Geo-targeted Event Observation (GEO) Viewer] has been developed mainly by Dr. Calvin Jung (Chief Data Scientist at HDMA center) with the founding support from National Science Foundation (Award# 1416509 and #1028177), San Diego State University, and the collaboration with the County of San Diego, Office of Emergency Services (contact: Robert Barreras). Please use the GeoViewer and give us feedback about how to improve the tool for the future disaster response and assistance.

 

For more information, please download and read: GeoViewer: April 2015 Nepal Earthquake: A Case Study for Use in Disaster Management

 

 

Social Media Analytics Tools for AAG

The Center for Human Dynamics in the Mobile Age (HDMA) at San Diego State University has developed two innovative social media analytics tools for the coming 2015 AAG Annual Meeting in Chicago, April 21-25, 2015. The SMART dashboard can summarize hot topics, voices, retweets, and persons related to 2015 AAG event. The GeoViewer can visualize the location-based social media in Chicago nearby the Conference hotel (Hyatt Regency Hotel) and what are the hot events and voices in the neighborhood. These tools are free and public accessible.

Let’s use the #AAG2015 and #HDMA to provide the two cool tools developed by us!

Give them a look!

 

  1. 2015 AAG SMART Dashboard:

    http://vision.sdsu.edu/hdma/smart/aag2015

    You can use our SMART dashboard to find out the most popular web stories, tweets, people, and topics during the AAG meeting. The lists are dynamics updated daily (2AM in Pacific Time) by search related keywords using the Twitter Search APIs.

    Screen Shot 2015-04-22 at 4.19.04 PM

  2. GeoViewer for Chicago neighborhood near the 2015 AAG conference:

    http://vision.sdsu.edu/ec2/geoviewer/aag2015

    You can use the tools to search for GPS- tagged tweets in Chicago for specific keywords within a time frame or within a spatial polygon. The database is updated every 1 minute (Real-time) by using the Streaming APIs. Since we cannot control the contents of tweets or images from Twitter servers. Please be aware that some inappropriate pictures may be displayed in the Viewer. Users can select the display of tweets by text-only or image-only or both.

    Screen Shot 2015-04-22 at 4.20.46 PM

 

Feedback and Suggestions about SMART dashboard and GeoViewer: hdmasdsu@gmail.com

UCSD iDash Project

http://idash.ucsd.edu/events/webinars/tracking-disease-outbreaks-and-health-disparities-using-big-data-social-media-social

 

Real time public health data capture using Big Data and social media are now at the forefront of behavioral measurement, disease surveillance, and health promotion in many public health research activities. Public health research community is now rapidly reexamining the role of dynamic environmental-behavioral interactions and how both elements of this interaction can be modified to promote optimal health in the areas of obesity, cancer, HIV, influenza, alcohol and drug misuse research.There is a great opportunity for geographers and GIS specialists to collaborate with public health researchers and practitioners to develop comprehensive research framework, web maps, and visualization tools to promote health behaviors, detect disease outbreaks, and prevent health problems.

This webinar will discuss the impacts of big data and social media to disease outbreak surveillance and health disparities problems. Several web applications developed by the Center of Human Dynamics in the Mobile Age (HDMA) (http://humandynamics.sdsu.edu/research.html(link is external)) at San Diego State University will be introduced to demonstrate the value of social media analytics, including SMART dashboard for city-level flu outbreak monitoring tasks and GeoViewer for studying environmental-behavioral interactions

 

View the slides

Watch the webinar

Workshop on Location-based Social Media Data

March 13-14, 2015* Athens, Georgia, USA     http://research.franklin.uga.edu/iclsm

Title: Spatiotemporal Modeling and Analytic Tools for Geo-targeted Social Media Data (Workshop at the International Conference on Location-based Social Media Data)

March 12, 2015 (Thursday), 3pm – 5pm.

Organizers: Dr. Xinyue Ye and Dr. Ming-Hsiang Tsou

This workshop will focus on the introduction of several research tools for spatiotemporal modeling and analytics of geo-targeted social media data, such as information diffusion modeling over time and space, the connection between online activities and real world human behaviors, and new knowledge discovery tools or machine learning functions. This workshop is one of the outreach activities for the NSF-IBSS (Interdisciplinary Behavioral and Social Science Research) project, entitled “IBSS: Spatiotemporal Modeling of Human Dynamics Across Social Media and Social Networks” (2014-2018, Award # 1416509). Project website: http://socialmedia.sdsu.edu/

 

The detail agenda for this two hour workshops is

  1. New NSF IBSS project introduction and collaboration opportunities (10 minutes, Ming)
  2. Introduction to the HDMA GitHub with Social Media APIs (10 minutes, Ming)
  3. Demo of SMART dashboard and GEO Viewers. (15 minutes, Ming)
  4. Social Media Analysis and Simulation Tools (25 minutes, Xinyue Ye)
  5. Python Programming for Twitter APIs and Web Map Application. (20 minutes, Su Han, Ph.D. student from SDSU/UCSB).
  6. Panel Discussion (40 minutes): (5 minutes short talks from each panelist, 20 minutes Group discussion)

Chair: Ming-Hsiang Tsou

Panelist:

  • Shih-Lung Shaw
  • Xinyue Ye
  • Bin Jiang
  • Xiaobai Yao

 

Total: 120 minutes (Two hours).