Social Network Based Big Data Analysis and Applications, Mehmet Kaya, Jalal Kawash, Suheil Khoury, Min-Yuh Day, editors

Resource Information

The instance Social Network Based Big Data Analysis and Applications, Mehmet Kaya, Jalal Kawash, Suheil Khoury, Min-Yuh Day, editors represents a material embodiment of a distinct intellectual or artistic creation found in Sydney Jones Library, University of Liverpool. This resource is a combination of several types including: Instance, Electronic.

Image

http://covers.openlibrary.org/b/isbn/9783319781952-M.jpg?default=false

Label

Social Network Based Big Data Analysis and Applications, Mehmet Kaya, Jalal Kawash, Suheil Khoury, Min-Yuh Day, editors

Statement of responsibility

Mehmet Kaya, Jalal Kawash, Suheil Khoury, Min-Yuh Day, editors

Instantiates

• Social Network Based Big Data Analysis and Applications

Publication

• Cham, Switzerland, Springer, 2018

Antecedent source

unknown

Bibliography note

Includes bibliographical references and index

Carrier category

online resource

Carrier category code

• cr

Carrier MARC source

rdacarrier

Color

multicolored

Content category

text

Content type code

• txt

Content type MARC source

rdacontent

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 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

Dimensions

unknown

Extent

1 online resource

File format

unknown

Form of item

online

Isbn

9783319781952

Level of compression

unknown

Media category

computer

Media MARC source

rdamedia

Media type code

• c

Other control number

10.1007/978-3-319-78196-9

Other physical details

illustrations.

Quality assurance targets

not applicable

Record ID

b5573669

Reformatting quality

unknown

Sound

unknown sound

Specific material designation

remote