Social Network Based Big Data Analysis and Applications. ([2018])
- Record Type:
- Book
- Title:
- Social Network Based Big Data Analysis and Applications. ([2018])
- Main Title:
- Social Network Based Big Data Analysis and Applications
- Further Information:
- Note: Mehmet Kaya, Jalal Kawash, Suheil Khoury, Min-Yuh Day, editors.
- Editors:
- Kaya, Mehmet
Kawash, Jalal
Khoury, Suheil
Day, Min-Yuh - Contents:
- Intro; Preface; Contents; Twitter as a Source for Time- and Domain-Dependent Sentiment Lexicons; 1 Introduction; 2 Related Work; 3 System Workflow; 3.1 Terms Extraction; 3.1.1 Term Extraction Evaluation; 3.2 Term Sentiment Evaluation; 3.2.1 Ensemble System Evaluation; 4 Lexicons Evaluation; 4.1 Dataset Description; 4.2 Evaluation on Nonfactual Texts; 5 Conclusion and Future Work; References; Hiding in Plain Sight: The Anatomy of Malicious Pages on Facebook; 1 Introduction; 2 Related Work; 3 Scope and Data Collection; 3.1 Scope; 3.2 Establishing Ground Truth; 3.3 Dataset 4 Malicious Pages on Facebook4.1 Spatial Behavior; 4.1.1 Entities; 4.1.2 Content; 4.1.3 Network; 4.1.4 Metadata; 4.2 Temporal Behavior; 4.2.1 Posting Activity; 4.2.2 Attributes over Time; 5 Automatic Detection of Malicious Pages; 5.1 Supervised Learning with Page and Post Features; 5.2 Supervised Learning with Bag-of-Words; 6 Discussion and Limitations; 7 Conclusion and Future Work; References; Extraction and Analysis of Dynamic Conversational Networksfrom TV Series; 1 Introduction; 2 Previous Works; 2.1 Complete Aggregation; 2.2 Time-Slices; 3 Estimating Verbal Interactions 3.1 Scene Co-occurrence3.2 Sequential Estimate of Verbal Interactions; 4 Dynamic Conversational Network for Plot Modeling; 4.1 Narrative Smoothing; 4.2 Narrative Smoothing Illustrated; 5 Experiments and Results; 5.1 Corpus; 5.2 Conversational Interactions; 5.3 Narrative Smoothing; 6 Conclusion and Perspectives; References; Diversity andIntro; Preface; Contents; Twitter as a Source for Time- and Domain-Dependent Sentiment Lexicons; 1 Introduction; 2 Related Work; 3 System Workflow; 3.1 Terms Extraction; 3.1.1 Term Extraction Evaluation; 3.2 Term Sentiment Evaluation; 3.2.1 Ensemble System Evaluation; 4 Lexicons Evaluation; 4.1 Dataset Description; 4.2 Evaluation on Nonfactual Texts; 5 Conclusion and Future Work; References; Hiding in Plain Sight: The Anatomy of Malicious Pages on Facebook; 1 Introduction; 2 Related Work; 3 Scope and Data Collection; 3.1 Scope; 3.2 Establishing Ground Truth; 3.3 Dataset 4 Malicious Pages on Facebook4.1 Spatial Behavior; 4.1.1 Entities; 4.1.2 Content; 4.1.3 Network; 4.1.4 Metadata; 4.2 Temporal Behavior; 4.2.1 Posting Activity; 4.2.2 Attributes over Time; 5 Automatic Detection of Malicious Pages; 5.1 Supervised Learning with Page and Post Features; 5.2 Supervised Learning with Bag-of-Words; 6 Discussion and Limitations; 7 Conclusion and Future Work; References; Extraction and Analysis of Dynamic Conversational Networksfrom TV Series; 1 Introduction; 2 Previous Works; 2.1 Complete Aggregation; 2.2 Time-Slices; 3 Estimating Verbal Interactions 3.1 Scene Co-occurrence3.2 Sequential Estimate of Verbal Interactions; 4 Dynamic Conversational Network for Plot Modeling; 4.1 Narrative Smoothing; 4.2 Narrative Smoothing Illustrated; 5 Experiments and Results; 5.1 Corpus; 5.2 Conversational Interactions; 5.3 Narrative Smoothing; 6 Conclusion and Perspectives; References; Diversity and Influence as Key Measures to Assess Candidates for Hiring or Promotion in Academia; 1 Introduction; 2 Related Work; 3 The Proposed Methodology; 3.1 The Data Set; 3.2 Data Retrieval; 3.3 Influence Values; 3.4 Community Detection 4 Experiments, Results, and Discussion4.1 Influence; 4.2 Communities; 4.3 Limitations; 5 Conclusions and Future Research; References; Timelines of Prostate Cancer Biomarkers; 1 Introduction; 2 Related Work; 3 Approach; 3.1 Data Set; 3.2 Analysis; 3.2.1 Calculating Moving Linear Regression Angle Values; 3.2.2 Weighting the Years; 3.2.3 Calculating the Emerging/Demerging Scores; 3.2.4 Calculating the Memberships; 3.3 Web Portal; 4 Results and Discussion; 5 Conclusion and Future Work; References; Exploring the Role of Intrinsic Nodal Activation on the Spread of Influence in Complex Networks 1 Introduction and Related Work2 Modified Influence Maximization Approach; 2.1 Formulation; 2.2 Algorithm for Mining Influential Nodes Under Intrinsic Activation; 2.3 Content Creators and Engagement in Online Social Networks; 2.4 Optimality of the Influence Maximization Algorithm with Intrinsic Activation; 3 Synthetic Experiments; 3.1 Small Organization Tree; 3.2 Larger Graphs and the Influence Function; 4 Experiments on a Real-World Twitter Dataset; 4.1 Data Collection; 4.2 Influence Spread Results; 5 A Centrality Metric Incorporating Intrinsic Activation; 6 Conclusions; References … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2018
- Extent:
- 1 online resource, illustrations
- Subjects:
- 302.231
Social sciences
Online social networks
Big data
Social sciences—Data processing
Social sciences—Computer programs
Data mining
PSYCHOLOGY / Social Psychology
Big data
Online social networks
Computers -- Database Management -- General
Computers -- Database Management -- Data Mining
Science -- System Theory
Databases
Data mining
Mathematical physics
Social Science -- General
Society & social sciences
Social Sciences
Computational Social Sciences
Big Data
Data Mining and Knowledge Discovery
Applications of Graph Theory and Complex Networks
Electronic books - Languages:
- English
- ISBNs:
- 9783319781969
3319781960 - Related ISBNs:
- 9783319781952
3319781952 - Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF title page (EBSCO, viewed May 17, 2018). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.358698
- Ingest File:
- 02_339.xml