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From Security to Community Detection in Social Networking Platforms / / edited by Panagiotis Karampelas, Jalal Kawash, Tansel Özyer
| From Security to Community Detection in Social Networking Platforms / / edited by Panagiotis Karampelas, Jalal Kawash, Tansel Özyer |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (242 pages) |
| Disciplina | 302.231 |
| Collana | Lecture Notes in Social Networks |
| Soggetto topico |
Data mining
Social sciences—Data processing Social sciences—Computer programs Big data Application software Statistical physics Dynamical systems Data Mining and Knowledge Discovery Computational Social Sciences Big Data/Analytics Computer Appl. in Social and Behavioral Sciences Complex Systems |
| ISBN | 3-030-11286-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter1. Real-world application of ego-network analysis to evaluate environmental management structures -- Chapter2. An Evolutionary Approach for Detecting Communities in Social Networks -- Chapter3. On Detecting Multidimensional Communities -- Chapter4. Derivatives in Graph Space with Applications for Finding and Tracking Local Communities -- Chapter5. Graph Clustering Based on Attribute-aware Graph Embedding -- Chapter6. On Counting Triangles through Edge Sampling in Large Dynamic Graphs -- Chapter7. Generation and Corruption of Semi-structured and Structured Data -- Chapter8. A Data Science Approach to Predict the Impact of Collateralization on Systemic Risk -- Chapter9. Mining actionable information from security forums: the case of malicious IP addresses -- Chapter10. Temporal Methods to Detect Content-Based Anomalies in Social Media. |
| Record Nr. | UNINA-9910337847603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Online Social Media Analysis and Visualization / / edited by Jalal Kawash
| Online Social Media Analysis and Visualization / / edited by Jalal Kawash |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (243 p.) |
| Disciplina |
004
006.312 519.5 621 |
| Collana | Lecture Notes in Social Networks |
| Soggetto topico |
Application software
Statistics Physics Data mining Computer Appl. in Social and Behavioral Sciences Statistics for Social Sciences, Humanities, Law Applications of Graph Theory and Complex Networks Data Mining and Knowledge Discovery |
| ISBN | 3-319-13590-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Identifying Event-Specific Sources from Social Media -- Demographic and Psychographic Estimation of Twitter Users Using Social Structures -- Say It with Colors: Language-Independent Gender Classification on Twitter -- TUCAN: Twitter User Centric Analyzer -- Evaluating Important Factors and Effective Models for Twitter Trend Prediction -- Rings: a Visualization Mechanism to Enhance the User Awareness on Social Networks -- Friends and Circles – A Design Study for Contact Management in Egocentric Online Social Networks -- Genetically Optimized Realistic Social Network Topology Inspired by Facebook -- A Workbench for Visual Design of Executable and Re-usable Network Analysis Workflows -- On the Usage of Network Visualization for Multiagent System Verification. |
| Record Nr. | UNINA-9910298995103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Prediction and Inference from Social Networks and Social Media / / edited by Jalal Kawash, Nitin Agarwal, Tansel Özyer
| Prediction and Inference from Social Networks and Social Media / / edited by Jalal Kawash, Nitin Agarwal, Tansel Özyer |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (IX, 225 p. 82 illus., 54 illus. in color.) |
| Disciplina | 303.49 |
| Collana | Lecture Notes in Social Networks |
| Soggetto topico |
Data mining
Physics Computers and civilization User interfaces (Computer systems) Data Mining and Knowledge Discovery Applications of Graph Theory and Complex Networks Computers and Society User Interfaces and Human Computer Interaction |
| ISBN | 3-319-51049-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter1. Having Fun?: Personalized Activity-based Mood Prediction in Social Media -- Chapter2. Automatic Medical Image Multilingual Indexation through a Medical Social Network -- Chapter3. The Significant Effect of Overlapping Community Structures in Signed Social Networks -- Chapter4. Extracting Relations Between Symptoms by Age-Frame Based Link Prediction -- Chapter5. Link Prediction by Network Analysis -- Chapter6. Structure-Based Features for Predicting the Quality of Articles in Wikipedia -- Chapter7. Predicting Collective Action from Micro-Blog Data -- Chapter8. Discovery of Structural and Temporal Patterns in MOOC Discussion Forums -- Chapter9. Diffusion Process in a Multi-Dimension Networks: Generating, Modelling and Simulation. |
| Record Nr. | UNINA-9910254833903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation [[electronic resource] /] / edited by Mehmet Kaya, Şuayip Birinci, Jalal Kawash, Reda Alhajj
| Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation [[electronic resource] /] / edited by Mehmet Kaya, Şuayip Birinci, Jalal Kawash, Reda Alhajj |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (245 pages) |
| Disciplina | 302.30285 |
| Collana | Lecture Notes in Social Networks |
| Soggetto topico |
Sociophysics
Econophysics Social sciences—Data processing Social sciences—Computer programs Big data Application software Data-driven Science, Modeling and Theory Building Computational Social Sciences Big Data/Analytics Computer Appl. in Social and Behavioral Sciences |
| ISBN | 3-030-33698-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996418439103316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation / / edited by Mehmet Kaya, Şuayip Birinci, Jalal Kawash, Reda Alhajj
| Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation / / edited by Mehmet Kaya, Şuayip Birinci, Jalal Kawash, Reda Alhajj |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (245 pages) |
| Disciplina | 302.30285 |
| Collana | Lecture Notes in Social Networks |
| Soggetto topico |
Sociophysics
Econophysics Social sciences—Data processing Social sciences—Computer programs Big data Application software Data-driven Science, Modeling and Theory Building Computational Social Sciences Big Data/Analytics Computer Appl. in Social and Behavioral Sciences |
| ISBN | 3-030-33698-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910369930703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Social Network Based Big Data Analysis and Applications / / edited by Mehmet Kaya, Jalal Kawash, Suheil Khoury, Min-Yuh Day
| Social Network Based Big Data Analysis and Applications / / edited by Mehmet Kaya, Jalal Kawash, Suheil Khoury, Min-Yuh Day |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (X, 249 p. 89 illus., 77 illus. in color.) |
| Disciplina | 302.30285 |
| Collana | Lecture Notes in Social Networks |
| Soggetto topico |
Social sciences—Data processing
Social sciences—Computer programs Big data Data mining Physics Computational Social Sciences Big Data Data Mining and Knowledge Discovery Applications of Graph Theory and Complex Networks |
| ISBN | 3-319-78196-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter1. Twitter as a Source for Time and Domain Dependent Sentiment Lexicons -- Chapter2. Hiding in Plain Sight: The Anatomy of Malicious Pages on Facebook -- Chapter3. Extraction and Analysis of Dynamic Conversational Networks from TV Series -- Chapter4. Diversity and Influence as Key Measures to Assess Candidates for Hiring or Promotion in Academia -- Chapter5. Timelines of Prostate Cancer Biomarkers -- Chapter6. Exploring the Role of Intrinsic Nodal Activation on the Spread of Influence in Complex Networks -- Chapter7. Influence and Extension of the Spiral of Silence in Social Networks: A Data-driven Approach -- Chapter8. Prepaid or Postpaid? That is the question.\\ Novel Methods of Subscription Type Prediction in Mobile Phone Services -- Chapter9. Dynamic Pattern Detection for Big Data Stream Analytics -- Chapter10. Community-based Recommendation for Cold-Start Problem: A Case Study of Reciprocal Online Dating Recommendation -- Chapter11. Combining Feature Extraction and Clustering for Better Face Recognition. |
| Record Nr. | UNINA-9910300584803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||