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  • 1
    ISBN: 9783642247040
    Language: English
    Pages: 1 online resource (356 pages)
    Series Statement: Lecture Notes in Computer Science / Information Systems and Applications, incl. Internet/Web, and HCI
    Series Statement: Lecture Notes in Computer Science Ser. v.6984
    Parallel Title: Erscheint auch als
    DDC: 303.48/33
    Keywords: Information technology ; Social aspects ; Congresses ; Electronic books
    Abstract: Title -- Preface -- Organization -- Table of Contents -- Keynotes -- Digital Media and the Relational Revolution in Social Science -- Using Web Science to Understand and Enable 21st Century Multidimensional Networks -- Data Mining as a Key Enabler of Computational Social Science -- Predicting Market Movements: From Breaking News to Emerging Social Media -- Invited Talks -- Learning Information Di usion Models from Observation and Its Application to Behavior Analysis -- Analysis of Twitter Unfollow: How often Do People Unfollow in Twitter andWhy? -- Network Analysis -- Robustness of Social Networks: Comparative Results Based on Distance Distributions -- Introduction -- Related Work -- Computing the Distance Distribution -- Removal Strategies and Their Analysis -- Some Removal Strategies -- Measures of Divergence -- Experiments -- Discussion -- Conclusions and Future Work -- References -- Endogenous Control of DeGroot Learning -- Introduction -- DeGroot Belief Learning -- Endogenous Control -- BLIFT Algorithm -- Convergence of BLIFT -- Example -- Concluding Remarks -- References -- Mathematical Continuity in Dynamic Social Networks -- Introduction -- Closure -- Neighborhood Closure -- Transformations -- Network Transformations -- Network Growth -- Network Contraction -- Continuity in Practice -- Network Reduction -- Fuzzy Closure -- Summary -- References -- eGovernance and Knowledge Management -- Government 2.0 Collects the Wisdom of Crowds -- An Emerging Wave -- How Does a Government Collect the Wisdom of Crowds? -- Contest -- Wiki -- Social Networking -- Social Voting -- Further Discussions and Conclusions -- References -- Web Searching for Health: Theoretical Foundations for Analyzing Problematic Search Engine Use -- Introduction -- Theoretical Foundations for Problematic Search Engine Use -- Problematic Internet Use -- Cognitive Shift.
    Note: Description based on publisher supplied metadata and other sources
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  • 2
    ISBN: 9783319032603
    Language: English
    Pages: 1 Online-Ressource (508 pages)
    Series Statement: Lecture Notes in Computer Science Ser. v.8238
    Parallel Title: Print version Jatowt, Adam Social Informatics : 5th International Conference, SocInfo 2013, Kyoto, Japan, November 25-27, 2013, Proceedings
    DDC: 303.4833
    Keywords: Information technology-Social aspects-Congresses.. ; Information society-Social aspects-Congresses.. ; Online social networks-Congresses ; Electronic books
    Abstract: Preface -- Organization -- Table of Contents -- Modeling Analogies for Human-Centered Information Systems -- 1 Introduction -- 2 Towards Analogy-Enabled Information Systems -- 3 Adapting Semantics and Data Sources -- 3.1 Relational Databases -- 3.2 Linked Open Data and Ontologies -- 3.3 Unstructured Text and the Social Web -- 4 Conceptual Model for Analogies -- 4.1 System Design -- 4.2 Knowledge Base Primitives -- 4.3 Analogons, General Analogies and 4-Term Analogies -- 4.4 Semantics of Analogy Statements -- 4.5 Normalizing Analogies, Expansions, and Supportive Facts -- 4.6 Analogy Queries -- 5 Case Study: Mining Analogies from the Social Web -- 6 Summary and Outlook -- References -- Resilience of Social Networks under Different Attack Strategies -- 1 Introduction -- 2 Related Work -- 3 DataSets -- 4 Experimentation -- 5 Results and Discussion -- 6 Conclusion -- References -- Changing with Time: Modelling and Detecting User Lifecycle Periods in Online Community Platforms -- 1 Introduction -- 2 Related Work -- 3 Modelling User Lifecycles -- 3.1 Defining Lifecycle Periods -- 3.2 Modelling User Properties -- 3.3 Analysing User Lifecycles -- 4 Lifecycle Period Detection -- 4.1 Feature Engineering -- 4.2 Vector Space Detection Model -- 5 Experiments -- 5.1 Experimental Setup -- 5.2 Detection Results -- 6 Conclusions and Future Work -- References -- Metro: Exploring Participation in Public Events -- 1 Introduction -- 2 Exploring People and Events -- 2.1 Interface Structure -- 2.2 Recommendation Algorithm -- 2.3 Functionalities -- 3 Conclusions and Future Work -- References -- Follow My Friends This Friday! An Analysis of Human-Generated Friendship Recommendations -- 1 Introduction -- 2 Related Work -- 3 A Dataset of Broadcast Friend Recommendations -- 4 Analysis of Broadcast Recommendations -- 4.1 Effect of #FF Recommendation
    Abstract: 4.2 Repeated Recommendations -- 5 Recommender System -- 5.1 Features for Ranking Recommendations -- 5.2 EvaluationMethodology -- 5.3 Results -- 6 Conclusions -- References -- A Divide-and-Conquer Approach for Crowdsourced Data Enumeration -- 1 Introduction -- 2 Related Work -- 3 Microtask-Based Crowdsourcing -- 3.1 Microtask-Based Crowdsourcing Framework -- 3.2 Task Representation -- 4 Data Enumeration in the Microtask-Based Crowdsourcing Framework -- 4.1 Problems -- 5 ProposedMethod -- 5.1 Task Generation Plan -- 5.2 Task Generation Algorithm -- 6 Evaluation -- 6.1 Theoretical Analysis -- 6.2 Experimental Settings -- 6.3 Results of the Experiment -- 7 Summary -- References -- Social Listening for Customer Acquisition -- 1 Introduction -- 2 Architecture and Algorithm -- 2.1 Data Collection and Processing -- 2.2 Social Network Marketing -- 3 Demonstration Cases -- 4 Conclusions -- References -- Passive Participation in Communities of Practice: Scope and Motivations -- 1 Theoretical Background -- 1.1 Research Setting: Social Workers' Online Communities of Practice -- 2 Methodology -- 3 Passive Participation in Social Workers' Communities of Practice: Findings -- 3.1 Insecurity and Concerns of Criticism -- 3.2 Lack of Time and Motivation -- 3.3 Concern from Possible Lack of Feedback and Reciprocation -- 3.4 Reasons Related to Status and Expertise -- 3.5 Sense of Redundancy -- 3.6 Dislike of Technology -- 3.7 The Visual Aspect- "Not Facebook-ish Enough" -- 4 Discussion and Conclusions -- References -- An Ontology-Based Approach to Sentiment Classification of Mixed Opinions in Online Restaurant Reviews -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Datasets -- 3.2 Proposed Approach -- 4 Results -- 5 Discussion and Conclusion -- References -- A Novel Social Event Recommendation Method Based on Social and Collaborative Friendships
    Abstract: 1 Introduction -- 2 Related Work -- 3 The Proposed Event Recommendation Method -- 3.1 Acquaintance Identification -- 3.2 Recommendation Generation -- 4 Experiments -- 4.1 Dataset and Performance Metrics -- 4.2 System Component Evaluation -- 4.3 Comparison with Other Recommendation Methods -- 5 Concluding Remarks -- References -- Factors That Influence Social Networking Service Private Information Disclosure at Diverse Openness and Scopes -- 1 Introduction -- 2 Related Work -- 3 Openness Score and Explanatory Variables -- 4 Method -- 4.1 Data Collection Method Used for Public Data -- 4.2 Data Collection Method Used for Survey Data -- 5 Results -- 6 Discussions -- 7 Conclusion -- References -- An Approach to Building High-Quality Tag Hierarchies from Crowdsourced Taxonomic Tag Pairs -- 1 Introduction -- 2 Related Work -- 3 Tag Hierarchies Leaning from Taxonomic Tag Pairs -- 4 Empirical Study -- 4.1 Evaluation Methodology -- 5 Results and Analysis -- 5.1 Results of Semantic Evaluation -- 5.2 Results of Structural Evaluation -- 5.3 Results of Usability Evaluation -- 6 Discussion and Conclusion -- References -- Automating Credibility Assessment of Arabic News -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Crawler and Parser -- 3.2 Feature Extraction -- 3.3 Preprocessing -- 3.4 Classification -- 4 Results and Evaluation -- 4.1 Data Description -- 4.2 Results for "When?" -- 4.3 Results for "Source Info" -- 4.4 Credibility Score Per News Site -- 5 Conclusion -- References -- Polarity Detection of Foursquare Tips -- 1 Introduction -- 2 Related Work -- 3 Overview of Datasets -- 4 Polarity Detection -- 4.1 Supervised Methods -- 4.2 Unsupervised Method -- 5 Experimental Results -- 6 Conclusions and Future Work -- References -- The Study of Social Mechanisms of Organization, Boundary Capabilities, and Information System -- 1 Introduction
    Abstract: 2 Theory and Hypotheses -- 2.1 Boundary Capabilities -- 2.2 Organizational Mechanisms -- 2.3 Information System -- 3 Methodology -- 3.1 Data Collection Procedure -- 3.2 Measurements -- 4 Data Analysis and Results -- 4.1 Non-response Bias -- 4.2 Analysis of Measurement Model -- 4.3 Assessment of Structural Model -- 5 Discussion -- 5.1 Implications -- 5.2 Conclusion -- References -- Predicting User's Political Party Using Ideological Stances -- 1 Introduction -- 2 Related Work -- 3 Problem Setting -- 4 Solution -- 4.1 Ideological Stance Prediction -- 4.2 Party Prediction -- 5 Experiments -- 5.1 Dataset -- 5.2 Evaluation Criteria -- 5.3 Ideological Stance Prediction Experiments -- 5.4 Party Prediction Experiments -- 5.5 Discussion -- 6 Conclusion -- References -- A Fast Method for Detecting Communities from Tripartite Networks -- 1 Introduction -- 2 Related Works -- 2.1 Newman-Girvan Modularity -- 2.2 Tripartite Modularity -- 2.3 Modularity Optimization -- 3 OurMethod -- 3.1 Fast Unfolding for Edges -- 3.2 Merging Task 2 and Task 3 -- 4 Experiments on Synthetic Tripartite Networks -- 5 Experiment on a Real Tripartite Network -- 6 Conclusions -- References -- Predicting Social Density in Mass Events to Prevent Crowd Disasters -- 1 Human Crowd Density and Safety -- 2 Approximating Human Density - A Data Collection Approach -- 3 Towards the Prediction of Crowd Densities -- 3.1 A Human Crowd Density Flow Network -- 3.2 Prediction Approaches -- 3.3 Results -- 4 Future Work and Conclusion -- References -- Modeling Social Capital in Bureaucratic Hierarchy for Analyzing Promotion Decisions -- 1 Introduction -- 2 A Hybrid Mutliplex Network Model of Social Capital in Bureaucratic Career System -- 2.1 A Network Model of Superior-Subordinate Relationship -- 2.2 A Network Model of Bureaucratic Seniority -- 2.3 A Network Model of Career Distinction
    Abstract: 2.4 Social Capital Evaluation for Bureaucratic Promotion Decisions -- 3 Experimental Evaluation -- 4 Conclusions -- References -- Information vs Interaction: An Alternative User Ranking Model for Social Networks -- 1 Introduction -- 2 ProposedSolution -- 2.1 Preliminaries -- 2.2 Model -- 2.3 Inference -- 3 Empirical Evaluation -- 3.1 Data Set -- 3.2 Comparison with Related Algorithms -- 3.3 Retweet Behaviour Prediction -- 4 Related Work -- 5 Discussion -- 6 Conclusions and Future Work -- References -- Feature Extraction and Summarization of Recipes Using Flow Graph -- 1 Introduction -- 2 Feature Types and Their Importances of Recipe -- 3 Pre-processing for Recipes -- 3.1 Recipe Tree: The Work-Flow Format of a Recipe -- 3.2 Tree Mapping Algorithms -- 4 Generation of General Recipe Tree -- 4.1 Framework -- 4.2 Transformation to Ordered Tree -- 4.3 Node-to-Node Mapping between Two Trees -- 4.4 Recipe Tree Integration -- 4.5 Characteristic Feature Extraction -- 5 Experiments and Results -- 5.1 Recipe Data Set -- 5.2 Examples of Transformation to Ordered Trees -- 5.3 Node-to-node Mapping -- 5.4 Recipe Tree Integration -- 5.5 General Recipe Tree of Ten Recipes -- 5.6 Characteristic Features of Each Recipe -- 6 Discussions -- 7 Conclusions -- References -- Unsupervised Opinion Targets Expansion and Modification Relation Identification for Microblog Sentiment Analysis -- 1 Introduction -- 2 Related Work -- 3 The Proposed Approach -- 3.1 Topic-Specific Target Expansion -- 3.2 Modification Relation Identification -- 3.3 Opinion Score Estimation -- 4 Experiments and Discussions -- 4.1 The Effects of Named Entity Recognition -- 4.2 The Effects of Co-occurrence Analysis -- 4.3 The Effects of Synonym Finding -- 4.4 Comparing with Content Classification -- 5 Conclusion -- References -- Pilot Study toward Realizing Social Effect in O2O Commerce Services
    Abstract: 1 Introduction
    URL: Volltext  (lizenzpflichtig)
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  • 3
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Chapman and Hall/CRC | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (232 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Computational Trust Models and Machine Learning provides a detailed introduction to the concept of trust and its application in various computer science areas, including multi-agent systems, online social networks, and communication systems. Identifying trust modeling challenges that cannot be addressed by traditional approaches, this book: Explains how reputation-based systems are used to determine trust in diverse online communities Describes how machine learning techniques are employed to build robust reputation systems Explores two distinctive approaches to determining credibility of resources—one where the human role is implicit, and one that leverages human input explicitly Shows how decision support can be facilitated by computational trust models Discusses collaborative filtering-based trust aware recommendation systems Defines a framework for translating a trust modeling problem into a learning problem Investigates the objectivity of human feedback, emphasizing the need to filter out outlying opinions Computational Trust Models and Machine Learning effectively demonstrates how novel machine learning techniques can improve the accuracy of trust assessment.
    Note: Online resource; Title from title page (viewed October 29, 2014) , Mode of access: World Wide Web.
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