ISBN:
9783319478746
Language:
English
Pages:
1 online resource (528 pages)
Series Statement:
Lecture Notes in Computer Science Ser. v.10047
Parallel Title:
Erscheint auch als
DDC:
303.48329999999999
Keywords:
Electronic books
Abstract:
Intro -- Preface -- Organization -- Contents -- Part II -- Contents -- Part I -- Poster Papers: Networks, Communities and Groups -- Towards Understanding User Participation in Stack Overflow Using Profile Data -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Stack Overflow -- 2.2 User Profiles in Social Networks -- 3 Data Collection -- 4 Analysis and Results -- 4.1 Using Reputation Earned by Users -- 4.2 Using Scores Earned by Question and Answer Posts -- 5 Discussion -- 6 Conclusion and Future Work -- References -- Identifying Correlated Bots in Twitter -- 1 Introduction -- 2 Significance of Correlation in Bot Detection -- 3 Empirical Evaluation -- 3.1 Recall Estimates -- 4 Related Work -- 5 Conclusion -- References -- Predicting Online Extremism, Content Adopters, and Interaction Reciprocity -- 1 Introduction -- 2 Data and Preliminary Analysis -- 2.1 Sample Selection and Curation -- 2.2 Twitter Data Collection -- 3 Methodology -- 3.1 Learning Models -- 3.2 Feature Engineering and Feature Selection -- 4 Experiments -- 4.1 T1: Detection of Extremist Supporters -- 4.2 T2: Predicting Extremist Content Adoption -- 4.3 T3: Predicting Interactions with Extremists -- 4.4 Feature Predictive-Power Analysis -- 5 Related Literature -- 6 Conclusions -- References -- Content Centrality Measure for Networks: Introducing Distance-Based Decay Weights -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Concept and Assumption -- 3.2 Score Calculation -- 3.3 Parameter Estimation -- 4 Experiment -- 4.1 Datasets -- 4.2 Results of Estimated Parameters -- 4.3 Results of Centrality Rankings -- 5 Conclusion -- References -- A Holistic Approach for Link Prediction in Multiplex Networks -- 1 Introduction -- 2 Related Work -- 3 Node Similarity Metrics -- 4 Proposed Method -- 4.1 Multiplex Likelihood Assignment and Edge Weighting.
Note:
Description based on publisher supplied metadata and other sources
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