Social Media Reading Group

 

Members

Dr.Gita Sukthankar

Mahsa Maghami

Xi Wang

Rahmatollah Beheshti

Erfan Davami

Bulent Tastan

Location

HEC 354

Time

Spring 2012 (Jan 9th Apr 23rd ) Thu: 10:30 am - 12:00 pm

Summer 2012 (May 14th Aug 3rd ) Wed: 10:30 am - 12:00 pm

Fall 2012 (Aug 20th Dec 15th ) Thu: 10:30 am - 12:00 pm

 

Date

Title

Topic

Discussion Leader

Resources

Feb. 9th,2012

 

 

Dr. Sukthankar

 

Feb. 16th, 2012

Book: Networks: An Introduction [Ch.6]

Mathematics of Networks

Xi Wang

 

Feb. 23rd, 2012

Book: Community Detection and

ining in Social Media [Ch.2]

Influence Models

Mahsa Maghami

 

[11]

CompleNet 2012 Presentation

March 1st, 2012

Book: Networks: An Introduction [Ch.7]

Measures and Metrics in Network Theory

Xi Wang

 

March 8th,2012 (Spring Break)

March 15th,2012

[14]

Residential Area Modeling

Rahmatollah Beheshti

 

March 22nd,2012

[3] Chapter 8

Influence Maximization

Mahsa Maghami

 

March 29th,2012

Book: Community Detection and

Mining in Social Media [Ch.3]

Community Detection and Evaluation

Mahsa Maghami

 

April 5th, 2012

Book: Community Detection and

Mining in Social Media [Ch.3]

Community Detection and Evaluation

Mahsa Maghami

 

April 12th, 2012

Book: Community Detection and

Mining in Social Media [Ch.4]

Communities in Heterogeneous Networks

Xi Wang

 

April 19th, 2012

Book: Community Detection and

Mining in Social Media [Ch.5]

Social Media Mining

Mahsa Maghami

 

Summer Semester

April 25th, 2012

Graphical Models in a Nutshell

Graphical Models

Xi wang

 

May 2nd , 2012

Graphical Models in a Nutshell

Graphical Models

Xi wang

 

May 9th , 2012

Review of submitted paper at PRIMA

Pedestrian Control Settings in

Huge-scale Trac Flow

Rahmatollah Beheshti

 

May 16th , 2012

A Review of the Applications of Agent Technology in Traffic and Transportation Systems

Agent Technology

in Traffic and Transportation Systems

Rahmatollah Beheshti

 

May 23rd , 2012 (No meeting)

May 30th , 2012

Practice talk for AAMAS 2012

Human-Robot Interaction for Multi-Robot Manipulation Tasks

Bennie Lewis

 

Identifying Influential Agents in Multi-agent Markets

Gita Sukthanksr

June 6th , 2012

Book: Human Computation book [Part I]

 

Human Computation

Rahmatollah Beheshti

 

June 13th, 2012

Book: Human Computation book [Part II & III]

 

Human Computation

Rahmatollah Beheshti

 

June 20th , 2012

Book: Networks: An Introduction [Ch.8]

 

Xi Wang

 

June 27th , 2012

Selected AAMAS 2012 papers

Influence Maximization

Mahsa Maghami

 

July 4th , 2012 (Independence Day)

July 11th, 2012

Friendship and Mobility: User Movement In Location-Based Social Networks

Human mobility and Communication networks

Erfan Davami

 

July 18th, 2012

An Introduction to MCMC for Machine Learning

MCMC method

Rahmatollah Beheshti

 

July 25th, 2012

An Introduction to MCMC for Machine Learning

MCMC method

Rahmatollah Beheshti

 

Aug 1st, 2012

Supervised Methods for Multi-relational Link Prediction

Multi-relational link prediction

Xi Wang

 

Aug 8th, 2012

Scalable influence maximization for ICM in large-scale social networks

Influence Maximization

Mahsa Maghami

 

Fall Semester

Aug 23rd, 2012

 

General Review of Lab Performance

Gita Sukthankar

 

Aug 30th, 2012

Learning Motion Prediction Models for Opponent Interception

Preparation talk for CIG2012

Bulent Tastan

Slides

Variational MCMC

MCMC method

Rahmatollah Beheshti

Introduction to Variational Methods

Sep 6th , 2012

Learning Motion Prediction Models for Opponent Interception

Preparation talk for CIG2012

Bulent Tastan

Slides

 

Overview of Research Topics in IAL

Gita Sukthankar

 

Sep 13th , 2012 (No Group Meeting)

Sep 20th , 2012

Far Out: Predicting Long Term Human Mobility

Predicting Human Mobility

Erfan Davami

 

Sep 27th , 2012

 

Asana software

Erfan Davami

 

Learning Human Motion Models

AIIDE doctoral consortium talk (Practice Talk)

Bulent Tastan

 

Oct 4th , 2012

Learning Human Motion Models

AIIDE doctoral consortium talk (Practice Talk, second round)

Bulent Tastan

 

Oct 11th ,2012 (No meeting)

Oct. 18th , 2012

Matrix Algorithms and Graph Partitioning

Networks (Part I)

Xi Wang

 

Oct. 25th , 2012

Matrix Algorithms and Graph Partitioning

Networks (Part II)

Xi Wang

 

Nov. 1st , 2012

Mining of Massive Datasets

Chapter 1 & 2

Mahsa Maghami

Link

Nov. 8th , 2012

Mining of Massive Datasets

Chapter 3: Finding Similar Items (Part I)

Erfan Davami

Link

Nov 15th , 2012

Mining of Massive Datasets

Chapter 3: Finding Similar Items (Part II)

Erfan Davami

Link

Background

[1]Networks (M.E.J. Newman)

[2]Community Detection and Mining in Social Media (Chap 2,3, and 5)

[3]Structure and Dynamics of Networked Information (Kempe) (Chap 2, 3, 4, 5, and 8)

Statistical Relational Learning

[4]Graphical Models in a Nutshell

[5]Relational Markov Networks

[6]Probabilistic Relational Models

[7]Relational Dependency Networks

Adaptive Networks

[8]Adaptive Networks: Theories, Models, and Applications (Chap 1 and 2)

Influence Maximization

[9]Influential Nodes in a Diffusion Model for Social Networks

[10]Maximizing the Spread of Influence through a Social Network

[11] Identifying Influential Agents for Advertising in Multi-agent Markets.

Additional Material:

[12]RSiena

(Snijders)

[13]Introduction to Actor-Based Models (Snijders)

[14] Agent-based Modeling of Residential Mobility, Housing choice, and Regeneration.