ISBN:
9783319040486
Language:
English
Pages:
1 Online-Ressource (277 pages)
Series Statement:
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence v.8178
Series Statement:
Lecture Notes in Computer Science Ser. v.8178
Parallel Title:
Print version Hutchison, David Behavior and Social Computing : International Workshop on Behavior and Social Informatics, BSI 2013, Gold Coast, Australia, April 14-17, and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Beijing, China, August 3-9, 2013, Revised Selected Papers
DDC:
302.30113
Keywords:
Information technology-Social aspects-Congresses..
;
Information society-Social aspects-Congresses
;
Electronic books
Abstract:
Front -- Preface -- Organization -- Table of Contents -- Part I: Behavior Analytics -- Mining Frequent Sequences Using Itemset-Based Extension -- 1 Introduction -- 2 Problem Statement and Related Works -- 3 An Itemset-Based Extension Approach -- 4 The FINDER Algorithm -- 5 Experimental Results -- 6 Conclusion -- References -- Network Flow Based Collective Behavior Analysis -- 1 Introduction -- 2 Framework Description -- 2.1 Video Processing -- 2.2 Trajectory Identification -- 2.3 Behavior Analysis -- 3 Testing Examples -- 4 Conclusion -- References -- Design, Conduct and Analysis of a Biased Voting Experiment on Human Behavior -- 1 Introduction -- 2 Experiments Designing and Preparation -- 2.1 Platform Selection -- 2.2 Incentive Mechanism -- 2.3 Subjects Selection -- 2.4 Software -- 2.5 Hardware -- 3 Data Process and Result Analysis -- 3.1 Data Process -- 3.2 Result Analysis -- 4 Conclusions and d Future Work -- References -- Using Mobile Phone Location Data for Urban Activity Analysis -- 1 Introduction -- 2 Preliminaries -- 2.1 Methodology -- 2.2 Data Preparation -- 3 Individual Activity Analysis -- 3.1 Spatio-Temporal Hotspot Sequence -- 3.2 Stability and Periodicity of Individual Activities -- 3.3 Similarity and Difference among Individuals' Activities -- 4 Group Activity Analysis -- 4.1 Base Station Distribution -- 4.2 Geographic Boundary -- 4.3 Group Activity Regularity -- 5 Conclusion and Future Work -- References -- Dynamic User Behavior-Based Piracy Propagation Monitoring in Wireless Peer-to-Peer Networks -- 1 Introduction -- 2 Modeling Dynamic Behaviors and Piracy Propagation -- 2.1 DUB Characterization -- 2.2 UBT and PPA Calculation -- 3 Monitoring Process for Piracy Propagation -- 3.1 Node Ability Calculation Module -- 3.2 REGKM Algorithm for Reclustering -- 4 Experimental Evaluation -- 5 Conclusion -- References
Abstract:
World Expo Problem and Its Mixed Integer Programming Based Solution -- 1 Introduction -- 1.1 PreviousWork -- 1.2 OurWork -- 2 The Graphics Model of the World Expo Problem -- 2.1 Problem Statement -- 2.2 FromMulti-targets to Multi-groups -- 3 Improvements for Practical Applications -- 3.1 Introduce a Super Vertex -- 3.2 The Strategy of Path Clustering -- 4 Experiments -- 4.1 Simulation Results -- 4.2 An Adversary Case ofWorld Expo Problem -- 5 Conclusion -- References -- Part II: Social Analytics -- Semantic Change Computation: A Successive Approach -- 1 Introduction -- 2 Successive View of Semantic Change -- 3 Successive Semantic Change Computation -- 3.1 Time-Unit Based Word Status Measurement -- 3.2 Word Change Pattern Detection -- 4 Experiments and Analyses -- 4.1 Changed vs. Unchanged -- 4.2 Broadening vs. Narrowing -- 4.3 Newly CoinedWords, Metaphorical Change and Metonymic Change -- 5 Conclusions -- References -- A Connectionist Model-Based Approach to Centrality Discovery in Social Networks -- 1 Introduction -- 2 The Connectionist Model -- 3 Centrality Measurement -- 4 Example and Experiments -- 4.1 Independent Cascade Model -- 4.2 A Simple Example -- 4.3 Experiments -- 5 Conclusion -- References -- The Influence in Twitter: Are They Really Influenced? -- 1 Introduction -- 2 Related Work -- 3 Data Set -- 4 Methodology -- 4.1 Problem Statement -- 4.2 Topical Similarity -- 4.3 InterRank -- 5 Evaluation -- 5.1 Effect of Topical Similarity -- 5.2 Comparison between InterRank and PageRank -- 6 Conclusions -- References -- Micro-blog Post Topic Drift Detection Based on LDA Model -- 1 Introduction -- 2 Related Work -- 3 Micro-blog Post Topic Drift Model -- 3.1 Data Description -- 3.2 Topic Drift Model -- 4 LDA Model -- 4.1 Model Description -- 4.2 Parameter Estimation and Gibbs Sampling -- 5 Topic Boundary Identification
Abstract:
5.1 Micro-blog Post Similarity -- 5.2 Topic Boundary Identification -- 6 Topics' Extraction and Evolution -- 7 Experiments and Result -- 8 Conclusions and Future Work -- References -- A Network-Based Approach for Collaborative Filtering Recommendation -- 1 Introduction -- 2 Design of Network-Based Approach -- 2.1 The Item Network and the User Network -- 2.2 Formalization of the New Similarity Metric in the User Network -- 3 Experiments and Evaluation -- 3.1 Experimental Data -- 3.2 Experimental Method -- 3.3 Experimental Results and Performance Evaluation -- 4 Conclusion -- References -- A Novel Framework for Improving Recommender Diversity -- 1 Introduction -- 2 Related Work -- 3 Evaluation Metrics -- 3.1 Accuracy Metrics -- 3.2 Diversity Metrics -- 4 Recommendation Diversity Algorithm -- 4.1 Notations Definitions -- 4.2 Cloud Model -- 4.3 Gaussian Cloud Transformation -- 4.4 Recommendation Diversity Algorithm -- 5 Data Design and Empirical Analysis -- 5.1 Data Design -- 5.2 Empirical Analysis -- 6 Conclusions and Future Work -- References -- RNRank: Network-Based Ranking on Relational Tuples -- 1 Introduction -- 2 Related Work -- 3 Problem Definition -- 4 RNRank: Relational-Network Based Ranking Algorithm -- 4.1 Probabilistic Ranking Model -- 4.2 Posterior ProbabilisticModel -- 4.3 Ranking and Clustering on Target Relation -- 4.4 Ranking and Clustering on Attribute Relations -- 5 Experiment and Evaluation -- 5.1 Datasets -- 5.2 Result Analysis -- 5.3 Clustering Evaluation -- 5.4 Parameters Study -- 6 Conclusions -- References -- Interaction-Based Social Relationship Type Identification in Microblog -- 1 Introduction -- 2 Overview of the Framework -- 2.1 Terminology Definition -- 2.2 Overall Solution Framework -- 3 Community Discovery -- 3.1 The Generative Model UIRCT -- 3.2 Parameter Estimation -- 3.3 User-Community Assignment
Abstract:
4 Community Profiling -- 5 Experiment -- 5.1 Datasets -- 5.2 Result Analysis -- 6 Related Work -- 7 Conclusion and Future Work -- References -- Part III: Socio-Behavioral Analytics -- Personalized Recommendation Based on Behavior Sequence Similarity Measures -- 1 Introduction -- 2 Related Work -- 3 User Behavior Sequence Similarity Measurement -- 3.1 User Behavior Sequence -- 3.2 Analysis on the Length of User Behavior Pattern -- 4 Recommendation Based on BSSM -- 4.1 LCBC -- 4.2 MRBC -- 4.3 CCBC -- 5 Experiments and Results -- 5.1 Experiment Datasets -- 5.2 Experiment on LCBC -- 5.3 Experiment on MRBC -- 5.4 Experiment on CCBC -- 5.5 Testing Experiment on CCBC -- 5.6 Experiment Results Analysis -- 6 Conclusions -- References -- Detecting Spam Community Using Retweeting Relationships - A Study on Sina Microblog -- 1 Introduction -- 2 Microblog Dataset and Analysis -- 2.1 Microblog Dataset -- 2.2 Data Statistics and Analysis -- 3 Supervised Spammer Detection -- 3.1 Our Observations -- 3.2 Feature Set Extraction -- 4 Experiment and Analysis -- 4.1 Dataset Description -- 4.2 Experiment Setting -- 4.3 Classification Comparison -- 4.4 Spam and Promoting Community Detection -- 5 Related Work -- 5.1 Review Spam -- 5.2 Microblog Spam -- 6 Conclusions -- References -- Cooperative Community Detection Algorithm Based on Random Walks -- 1 Introduction -- 2 Some Definition -- 3 Cooperative Community Detection Algorithm Based on Random Walks -- 3.1 Calculation Similarity between Nodes via Random Walks -- 3.2 Community Detection Method -- 3.3 Performance Improving via Cooperative Method -- 4 Experimental Results -- 4.1 Accuracy -- 4.2 Modularity -- 5 Conclusion and Future Works -- References -- An Actor Network-Based Approach to Pirates Community Discovery in Peer-to-Peer Network -- 1 Introduction -- 2 Related Work -- 3 Actor Network-Based Model
Abstract:
3.1 Content Similarity Graph and Actor-Network Theory -- 3.2 ANM Architecture -- 3.3 Pirates Community Discovery Process -- 3.4 ANMGN Algorithm -- 4 Experimental Evaluation -- 4.1 Tests on Karate Club Network of Zachary -- 4.2 Working with Computer Generated Network -- 5 Conclusion -- References -- Suggestions for Fresh Search Queries by Mining Mircoblog Topics -- 1 Introduction -- 2 Related Work -- 2.1 Query Suggestion -- 2.2 Social Media -- 3 Suggestion Flowchart -- 4 Offline Processing -- 4.1 Extracting Microblog Data by Crawling -- 4.2 Text Processing -- 4.3 Discussions -- 5 Experiment -- 5.1 Data Set and Evaluation Method -- 5.2 Experimental Results -- 5.3 Discussions -- 6 Conclusions and Future Work -- References -- Learn to Rank Tweets by Integrating Query-Specific Characteristics -- 1 Introduction -- 2 Related Work -- 3 Combined LTR by Integrating Query-Specific Aspects -- 3.1 GeneralModel -- 3.2 Query-Specific Ranking Model -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Results and Discussion -- 5 Conclusions and Future Work -- References -- Exploration on Similar Spatial Textual Objects Retrieval -- 1 Introduction -- 2 Preliminaries -- 2.1 Problem Definition -- 2.2 Spatial Proximity and Textual Similarity -- 2.3 A General Framework -- 3 Proposed Approach -- 3.1 Baseline Strategy -- 3.2 Semantic Aware Strategy -- 4 Experimental Evaluation -- 4.1 Effectiveness Evaluation -- 4.2 Efficiency Evaluation -- 5 Related Work -- 6 Conclusion and Future Work -- References -- Indicating Important Parts in Searched Web Pages by Retrieval Keywords -- 1 Introduction -- 2 Reasons Why Retrieval Keywords Are Not Found Easily on Searched Web Pages -- 2.1 Keywords Do Not Exist on Web Pages but Synonyms Exist -- 2.2 Keywords Do Not Appear on the Display Areas of Web Pages -- 2.3 Parts of Web Pages Containing Keywords Are Not in Display State
Abstract:
3 Implemented Software
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