October 30, 2014
08:30 – 09:00 Room: Regal Hall 1, 1/F
Opening Ceremony
09:00 – 10:00 Room: Regal Hall 1, 1/F
Keynote Speech 1

Usama Fayyad: BigData, AllData, Old Data: Predictive Analytics in a Changing Data Landscape

Chair: Philip S Yu

Coffee Break
10:20 – 12:20 Room: South Hall 1, B/F

Social Media Analysis

Chair: Huan Liu

Lunch (Venue: Stadium Cafe, 1/F)
13:20 – 14:20 Room: Regal Hall 1, 1/F
Keynote Speech 2

Feiyue Wang: Social Computing and Computational Societies: An ACP based Approach for Smart and Parallel Economic Systems

Chair: Minyi Guo

Coffee Break
14:40 – 16:40 Room: South Hall 1, B/F

Micro-blogging and Mobile Networks

Chair: Hung-Yu Kao

16:45 – 18:25 Room: Regal Hall 1, 1/F
Trends & Controversies Invited Talks

Philip S Yu: Assessing the Longevity of Online Videos: A New Insight of a Video’s Quality
Geoff Webb: Scalable Learning of Bayesian Network Classifiers
Gabriella Pasi: Generating, Communicating, Accessing and Analyzing Data in a Context Aware Perspective
Osmar Zaiane: Why the Worlds of MOOCs and Big Data Do Not Collide?

Chair: Hiroshi Motoda

18:30 – 20.30: Banquet and Conference Center, B/FReception
October 31, 2014
08:30 – 09:30 Room: Regal Hall 1, 1/F
Keynote Speech 3

Dirk P. Kroese: Monte Carlo Methods for Big Data and Big Models

Chair: Geoff Webb

Coffee Break
09:50 – 11:50 Room: South Hall 1, B/F

Machine Learning & Optimization

Chair: Osmar Zaiane

Lunch (Venue: Stadium Cafe, 1/F)
12:50 – 13:50 Room: Regal Hall 1, 1/F
Keynote Speech 4

Ravi Kumar: Some Patterns in Online Behavior

Chair: Xin Yao

Coffee Break
14:00 – 15:30 Room: Regal Hall 1, 1/F
Panel: Harnessing knowledge in Big Data: Issues and Challenges of Data Science

Panelists: Usama Fayyad, Barclays Bank, UK
Masaru Kitsuregawa, National Institute of Informatics, Japan
Ravi Kumar, Google, Mountain View, CA, USA
Hervé Marti, Université de Grenoble 1, France
Geoff Webb, Monash University, Australia
Xin Yao, University of Birmingham, UK
Osmar Zaiane, University of Alberta, Canada

Chair: Pasi Gabriella, Ee-Peng Lim

15:30 – 17:30 Room: South Hall 1, B/F

Complex Network Analysis

Chair: Xin Wang


18:00 – 20:00: Xiaonanguo Restaurant, Pudong(Note: Buses are arranged outside the Hotel at 17:30 to take delegates to the restaurant)

Cruise Tour

20:30 – 22:30: Huangpujiang Cruise Tour, Pudong(Note: Buses are arranged outside the Restaurant at 20:00 to take delegates to the cruise)

November 1, 2014
08:30 – 09:00 Room: Regal Hall 1, 1/F
Award Ceremony & BESC 2015 Introduction
09:00 – 10:00 Room: Regal Hall 1, 1/F
Keynote Speech 5

Ofer Azar: Relative Thinking

Chair: Masaru Kitsuregawa

Coffee Break
10:20 – 12:20 Room: South Hall 1, B/F

Behavior and Economics

Chair: Antoaneta Serguieva

Lunch (Venue: Stadium Cafe, 1/F)
13:20 – 15:20 Room: East Asia Hall, B/F Room: South Hall 1, B/F
Tutorial 1 BESC – SS1, SS3 Combined


Chair: Tong Zhang

Coffee Break
15:40 – 17:40 Room: East Asia Hall, B/F Room: Dynasty Hall, 1/F
Tutorial 2 BESC – SS2


Ting Wang

17:40 -19:00

Closing Ceremony & BESC 2015 Welcome Drink

BESC – S1: Social Media Analysis
Chair: Huan Liu, Arizona State University, USA

Link Formation in Undergraduate Students Friendship Network

Kun Zhao

On the Importance of Considering Social Capitalism When Measuring Influence on Twitter

Maximilien Danisch, Nicolas Dugué and Anthony Perez

Social Network of the Competing Crowd

Kai Lu, Wenjun Zhou and Xuehua Wang

A Model to Measure Inter-communication between Segregated Communities

Hussein Mohsen

Discovering Evolving Political Vocabulary in Social Media

Aravindan Mahendiran, Wei Wang, Jaime Arredondo, Bert Huang, Lise Getoor, David Mares and Naren Ramakrishnan

BESC – S2: Micro-blogging and Mobile Networks
DSAA – SS8: Computational Intelligence and Applications in Big Data Analysis
Chair: Hung-Yu Kao, National Cheng Kung University, Taiwan

Investigating Sentiment Impact on Information Propagation and its Evolution in Microblog

Zhitao Wang, Zhiwen Yu, Zhu Wang and Bin Guo

Times Makes Heroes or Heroes Shape Their Times? The Emotion Relationship between Elites and Masses on Micro-blogging

Kaisheng Lai, Hao Chen, Limin Qi, Weining Qian and Aoying Zhou

Observation of Tolerance in Dynamic Social Networks Using Mobile Phone Data

Yu Zhang

An Approach for Discovering User Similarity in Social Networks Based on the Bayesian Network and MapReduce

Juan Xu, Kun Yue, Jin Li, Feng Wang, Weiyi Liu

Finding Associations-between-Groups in Multimode Networks (SS8: CIABDA)

Hongmei Chen, Qing Xiao, Dandan Zhang, Lizhen Wang, Lihua Zhou (SS8: CIABDA)

BESC – S3: Machine Learning & Optimization
Chair: Osmar Zaiane, University of Alberta, Canada

Sentiment Analysis Based on Transfer Learning for Chinese Ancient Literature

Huidong Zhao, Bin Wu, Haoyu Wang and Chuan Shi

Maximum Likelihood Estimation Based DINA Model and Q-matrix Learning

Yuan Sun, Shiwei Ye, Huiyang Shi, Haobo Wang and Yi Sun

Bivariate Probability-Based Anomaly Detection

Hua Lou and Ye Zhu

Value Estimates of Water Quality Improvement Using the Double Bounded Dichotomous Choice

Zhijian Cai, Liyong Du, Zhan Jiang, Ling Zhang and Jiameng Yang

BESC – S4: Complex Network Analysis
Chair: Xin Wang, University of Calgary, Canada

Context Specific Entity based Modeling of Organizational Structures

Johannes Schick, Martin Kuboschek and Wolfram-Manfred Lippe

Six Types of Terrorist Networks

Fatih ?zgül and Chris Bowerman

Trends and Behavior of Developers in Open Collaborative Software Projects

Mohammad Allaho and Wang-Chien Lee

Understanding the Evolutionary Dynamics and Adaptation of Complex Networks

Alireza Abbasi

BESC – S5: Behavior and Economics
Chair: Antoaneta Serguieva, University of College London, UK

Geometric Brownian Motion with Itō’s Lemma Approach to Evaluate Market Fluctuations: A Case Study on Colombo Stock Exchange

R.M. Kapila Tharanga Rathnayaka, Wei Jianguo and D.M.K.N Seneviratna

Estimating the Incremental Effects of Interactions for Marketing Attribution

Ritwik Sinha, Shiv Saini and Anandhavelu Natarajan

Discrimination of China’s Stock Price Manipulation Based on Primary Component Analysis

Fengzhao Yang, Hang Yang and Menghan Yang

Trading Volume, Realized Volatility and Signed Jump: Evidence Form China’s Stock Market

Tao Bi and Gong Cheng

The effect of finance leasing efficieny on the agency cost

Xiao Wang

BESC – SS1: BEBD Behavior, Economics & Big Data
SS3 ACEE: Agent-based Computational Economics and Experimental Economics
Chair: Tong Zhang, Southwestern University of Finance and Economics, China

Research on the Factors of Transfer Pricing of Chinese Enterprises

Hui Cheng and Zhanxia Wu

The Automatic Indexing of Cooking Video by Using Caption-Recipe Alignment

Kyeong-Jin Oh, Myung-Duk Hong, Sang-Yong Sim and Geun-Sik Jo

Formation of Tectonic Wave Networks: Dynamics of the Mexican Payment System Structure

Biliana Alexandrova-Kabadjova, Antoaneta Serguieva and Liliana Garcia-Ochoa

Supply Uncertainty in Commodity Contracting – An Agent-based Model

Tong Zhang and Yu Wu

Heterogeneity in Experienced-Weighted Attraction Learning and Its Relation to Cognitive Ability

Shu-Heng Chen and Ye-Rong Du

A Method to Identify the AVI-type Blocks Based on Their Four-character Codes and C4.5 Algorithm

Jun Pan, Liying Liu, Guozi Sun and Yanbin Tang

BESC – SS2: KACADMSS Knowledge Acquisition, Causality Analysis and Data Mining in Social Systems
Chair: Ting Wang, China University of Politics and Law, China

A Meta-Ontology for Knowledge Acquisition and Exploitation of Collaborative Social Systems

Matthieu Lauras, Frédérick Bénaben, Sébastien Truptil, Lamothe Jacques, Guillaume Mace Ramete and Aurélie Montarnal

Friend Recommendation of Microblog in Classification Framework: Using Multiple Social Behavior Features

Siyao Han and Yan Xu

Application of Supervised Learning in the Exploring Research on Employment Quality for College Graduates

Ting Wang

Comuptional Reasoning and Learning for Smart Manufacturing under Realistic Conditions

Shuhui Qu, Raymond Jian, Tianshu Chu, Jie Wang and Tian Tan

Secrets of Success: Innovation in the Silicon Valley

Ting Wang, Ling Wang and Tiffany Chen

Tutorial 1: Network Mining and Analysis for Social Applications

Lecturer: Feida Zhu

Date: November 1, 2014, 13:20 – 15:20

Room: East Asia Hall, B/F


The recent blossom of social network and communication services in both public and corporate settings have generated a staggering amount of network data of all kinds. Unlike the bio-networks and the chemical compound graph data often used in traditional network mining and analysis, the new network data grown out of these social applications are characterized by their rich attributes, high heterogeneity, enormous sizes and complex patterns of various semantic meanings, all of which have posed significant research challenges to the graph/network mining community. In this tutorial, we aim to examine some recent advances in network mining and analysis for social applications, covering a di- verse collection of methodologies and applications from the perspectives of network patterns, relationship mining and identity linkage. We would present the problem setting, the research challenges, the recent research advances and some future directions for each perspective.


Feida Zhu is an assistant professor at the School of Information Systems of SingaporeManagement University (SMU). He has founded and managed as Academic Director the Pinnacle Lab a joint lab with China Ping An Insurance Group to focus on social media mining and analysis for finance innovation. He obtained his Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign (UIUC) in 2009. His current research interests include large-scale data mining, graph/network mining and social network analysis. His research on large-scale frequent pattern mining has won the Best Student Paper Awards at 2007 IEEE International Conference on Data Engineering (ICDE) and 2007 Pacific- Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

Tutorial 2: Harvesting, Integrating, Maintaining and Leveraging Knowledge Graphs

Lecturer: Seung-won Hwang

Date: November 1, 2014, 15:40 – 17:40

Room: East Asia Hall, B/F


Knowledge graphs have served as an integral component of modern search engines and software in general. However, it is non-trivial to harvest, cleanse, and integrate web-scale knowledge graphs, which has been actively studied in diverse fields of computer science. This two-hour tutorial will cover recent work on broad issues of harvesting, integrating, maintain, and leveraging knowledge graphs.


Seung-won Hwang is an associate professor of computer science and engineering in POSTECH, Korea. Her recent research projects have been integrating multiple knowledge graphs for data-driven understanding of entities. Her recent findings have been published at database and NLP venues, including ACL, TKDE, TOIS, TODS, SIGMOD, VLDB, and ICDE.