2016 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation
June 28 – July 1, 2016, UCDC Center, Washington DC, USA

Tuesday, June 28

Time Tutorial Sessions
Registration begins at 8am
Morning Tutorials
8:30am - 11:30am

Deep Learning Applied
Alexander G. Ororbia II, Pennsylvania State University

Dynamic & Geo-Spatial Network Visualization and Analysis
L. Richard Carley, Carnegie Mellon University & Netanomics

Generative models for social network data
Kevin S. Xu, University of Toledo & James R. Foulds, University of California, San Diego

11:30am - 12pmLunch (box lunches available for those attending a tutorial or presenting a tutorial)
Afternoon Tutorials
12:00pm - 3:00pm

An Introduction to Computational Urban Science
Konstantinos Pelechrinis, University of Pittsburgh & Daniele Quercia, Bell Labs

Identifying Covert or Hidden Groups in Twitter
Lieutenant Colonel Matthew Benigni & Kathleen M. Carley, Carnegie Mellon University

Challenges in Detecting Events with Social Media Data: Collecting, Modeling, and Exploring
Fred Morstatter, Arizona State University and Kenneth Joseph, Carnegie Mellon University and Sumeet Kumar, Carnegie Mellon University

Late Afternoon Tutorials
3:30pm - 6:30pm

Misinformation in Social Media: Diffusion, Detection and Intervention
Liang Wu, Fred Morstatter, and Huan Liu, Arizona State University

Network Analytics in ORA
Geoffrey Morgan & Kathleen M. Carley, Carnegie Mellon University

Analyzing User behaviors via Data Visualization Techniques
Nan Cao, NYU ShangHai / NYU Tandon School of Engineering & Yu-Ru Lin, University of Pittsburgh

Wednesday, June 29

(Download a PDF of the agenda here.)
Time Sessions
Registration begins at 8am
Plenary Session Methodology: 3 Talks
9:00-9:10
Welcome & Introduction
9:10-9:30
Spot the Hotspot: Wi-Fi Hotspot Classification from Internet Traffic
9:30-9:50
I2Rec: An Interative and Interactive Recommendation Framework for Event-Based Social Networks
9:50-10:10
Modeling Influenza by Modulating Flu Awareness
10:10-10:30
Break
Keynote
10:30-Noon
5-minutes Intro
50-minutes Talk
30-minutes Questions
Dr. Alex Levis
Professor of Electrical, Computer and Systems Engineering
George Mason University
Fairfax, VA

"Multi-Formalism Modeling of Complex Strategic Problems"

Noon - 1:30pm Lunch - Sponsor funding panel
Plenary Session
Information, systems, and network sciences: 5 Talks
1:30-1:50pm
The Implications for Network Structure of Dynamic Feedback between Influence and Selection
1:50-2:10pm
Leveraging Network Dynamics for Improved Link Prediction
2:10-2:30pm
Dynamic Directed Influence Networks: A Study of Campaigns on Twitter
2:30-2:50pm
Link Prediction via Multi-Hashing Framework
2:50-3:10pm
TELELINK: Link Prediction in Social Network Based on Multiplex Cohesive Structures
3:10-3:20pm
Presentation of Best Paper Awards
3:20-3:50pm
Break
Plenary Session
Military and intelligence applications: 5 Talks
3:50-4:10pm
Saint or Sinner? Language-action Cues for Modeling Deception Using Support Vector Machines
4:10-4:30pm
The Geography of Conflict Diamonds: The Case of Sierra Leone
4:30-4:50pm
From Tweets to Intelligence: Understanding the Islamic Jihad Support Community on Twitter
4:50-5:10pm
Be Alert and Stay the Course: An Agent-based Model Exploring Maritime Piracy Countermeasures
5:10-5:30pm
How People Talk About Armed Conflicts: An Analysis of Reddit Data
6 - 8pm
No Host Social at The Front Page², 1333 New Hampshire Ave.

Thursday, June 30

Time Sessions
Registration begins at 8am
Plenary Session
Health sciences: 3 Talks
9:00-9:10
Welcome & Introduction
9:10-9:30
Social Position Predicting Physical Activity Level in Youth: An Application of Hidden Markov Modeling on Network Statistics
9:30-9:50
Incorporating disgust as disease-avoidant behavior in an agent-based epidemic model
9:50-10:10
Modeling Social Capital as Dynamic Networks to Promote Health Equity
10:10-10:30
Break
Keynote
10:30am-noon
5-minutes Intro
50-minutes Talk
30-minutes Questions
Tina Eliassi-Rad
Associate Professor of Computer Science
Northeastern University
Boston, MA

"So Many Choices, So Few Guidelines: Sifting through Functions on Networks"

12 - 1:30pm Lunch (Networking roundtables / tentative)
Plenary Session
Methodology: 5 Talks
1:30-1:50
Formality Identification in Social Media Dialogue
1:50-2:10
Identifying political "hot" spots through massive media data analysis
2:10-2:30
Contextual Sentiment Analysis
2:30-2:50
Validating the Voice of the Crowd during Disasters
2:50-3:10
Toward a Bayesian Network Model of Events in International Relations
3:10-3:30
Break
Plenary Session
Behavioral and social sciences: 4 Talks
3:50-4:10
Improving Donation Distribution for Crowdfunding: An Agent-based Model
4:10-4:30
An Agent-based Framework for Active Multi-level Modeling of Organizations
4:30-4:50
Modeling and Simulation of Sectarian Tensions in Split Communities
4:50-5:10
The Role of Reciprocity and Directionality of Friendship Ties in Promoting Behavioral Change
5:10-5:50
Introduction to data challenge with 1-minute elevator speech on each submission
6:00 - 8:00pm Poster Session and Reception and vote for challenge problem

Friday, July 1

Time Sessions
8:50-9:00
Welcome & Introduction
Keynote
9-10:30am
5-minutes Intro
50-minutes Talk
30-minutes Questions
Pamela I. Blechinger
Director, U.S. Army Training and Doctrine
Command Analysis Center (TRAC)
Fort Leavenworth, Kansas

"Models and Simulations in support of Army Acquisition"

10:30-11:00 Break
Plenary Session
Military and intelligence applications: 3 Talks
11:00-11:20
Sensing Distress Following a Terrorist Event
11:20-11:40
Conversational Non-player Characters for Virtual Training
11:40-12:00
Holy Mackerel!: An Exploratory Agent-based Model of Illicit Fishing and Forced Labor
12:00-1:30 General Lunch (on your own) = Separate Societal Business Meeting
Plenary Session
Behavioral and social sciences: 5 Talks
1:30-1:50
Exploratory Models of Trust with Empirically-inferred Decision Trees
1:50-2:10
Predicting Privacy Attitudes Using Phone Meta-data
2:10-2:30
A Preliminary Study of Mobility Patterns in Urban Subway
2:30-2:50
An Agent-based Dynamic Model of Politics, Fertility and Economic Development
2:50-3:10
On Discrimination Discovery Using Causal Networks
3:10-3:50
Break
Plenary Session
Information, systems, and network sciences: 5 Talks
3:50-4:10
Trust Dynamics Predict Transfer of Learning Effects
4:10-4:30
Electricity Demand and Population Dynamics Prediction from Mobile Phone Metadata
4:30-4:50
Detecting Communities by Sentiment Analysis of Controversial Topics
4:50-5:10
Event Detection from Blogs using Large Scale Analysis of Metaphorical Usage
5:10-5:30
"With your help... we begin to heal": Social Media Expressions of Gratitude in the Aftermath of Disaster