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Analyzing narratives in social networks : taking Turing to the arts / / Zvi Lotker
| Analyzing narratives in social networks : taking Turing to the arts / / Zvi Lotker |
| Autore | Lotker Zvi |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (414 pages) |
| Disciplina | 302.3 |
| Soggetto topico |
Social networks - Data processing
Comunitats virtuals Processament de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-68299-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466393403316 |
Lotker Zvi
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Analyzing narratives in social networks : taking Turing to the arts / / Zvi Lotker
| Analyzing narratives in social networks : taking Turing to the arts / / Zvi Lotker |
| Autore | Lotker Zvi |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (414 pages) |
| Disciplina | 302.3 |
| Soggetto topico |
Social networks - Data processing
Comunitats virtuals Processament de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-68299-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910495161203321 |
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Lotker Zvi
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big data and social media analytics : trending applications / / Mehmet Çakırtaş, Mehmet Kemal Ozdemir, editors
| Big data and social media analytics : trending applications / / Mehmet Çakırtaş, Mehmet Kemal Ozdemir, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (246 pages) |
| Disciplina | 005.7 |
| Collana | Lecture notes in social networks |
| Soggetto topico |
Dades massives
Mineria de dades Comunitats virtuals Big data |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-67044-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- Twenty Years of Network Science: A Bibliographic and Co-authorship Network Analysis -- 1 Introduction -- 2 Scholarly Networks Analysis -- 3 Preliminaries and Data -- 3.1 Co-authorship Network of Network Scientists -- 3.2 Glossary -- 3.3 Data Collection and Preparation -- 4 Analysis of Network Science Papers -- 5 Analysis of the Co-authorship Network -- 6 Conclusion -- References -- Impact of Locational Factors on Business Ratings/Reviews: A Yelp and TripAdvisor Study -- 1 Introduction -- 2 Related Work -- 3 Methodology and Datasets -- 3.1 Methodology -- 3.2 Restaurant Success Metric -- 3.3 Restaurant Dataset -- 3.3.1 Yelp-2019 Dataset -- 3.3.2 TripAdvisor Dataset -- 3.4 Location Dataset -- 4 Effect of Location Parameters on Restaurant Success -- 4.1 Location Characteristic Parameters -- 4.1.1 Living Standard -- 4.1.2 Tourism Significance -- 4.1.3 Business Convenience -- 4.1.4 Combined Parameters -- 4.2 Correlation Metrics -- 4.2.1 Spearman's Correlation -- 4.2.2 Kendall's Correlation -- 4.3 Correlation Results -- 4.3.1 State-Wise Correlation Using All Restaurants -- 4.3.2 Cluster-Wise Correlation Using All Restaurants -- 5 Conclusion -- References -- Identifying Reliable Recommenders in Users' Collaborating Filtering and Social Neighbourhoods -- 1 Introduction -- 2 Related Work -- 3 SN CF Prediction Formulation Foundations -- 4 The Proposed Algorithm and the Partial Prediction Combination Alternatives -- 4.1 The Proposed Algorithm -- 4.2 Alternatives for Combining the CF and SN Partial Predictions -- 4.3 Complexity Analysis -- 5 Experimental Evaluation -- 5.1 Prediction Accuracy Experiments Using the PCC as the Similarity Metric -- 5.2 Prediction Accuracy Experiments Using the CS as the Similarity Metric -- 6 Conclusions and Future Work -- References.
Safe Travelling Period Recommendation to High Attack Risk European Destinations Based on Past Attack Information -- 1 Introduction -- 2 Related Work -- 3 Algorithm Prerequisites -- 4 Prediction Algorithm -- 5 Experimental Results -- 5.1 Number of Attacks as the Evaluation Parameter -- 5.2 Number of Fatalities as the Evaluation Parameter -- 6 Conclusion and Future Work -- References -- Analyzing Cyber Influence Campaigns on YouTube Using YouTubeTracker -- 1 Introduction -- 2 State of the Art in YouTube Analysis -- 3 YouTubeTracker -- 3.1 Tracker Feature -- 3.2 Posting Frequency -- 3.3 Content Analysis -- 3.4 Content Engagement -- 4 Case Study: 2018 Trident Juncture Exercise -- 5 Extended Work -- 5.1 Elasticsearch -- 5.2 2019 Canadian Elections Use-Case -- 5.3 Video Characterization Using T-SNE and Barcode Visualization -- 6 Conclusion and Future Works -- References -- Blog Data Analytics Using Blogtrackers -- 1 Introduction -- 2 State of the Art in Blog Monitoring and Analysis -- 3 Blogtrackers: Analytical Capabilities -- 4 Analysis of Asia-Pacific Blogs: A Case Study -- 5 Conclusion and Future Works -- References -- Using Social Media Surveillance in Order to Enhance the Effectiveness of Crew Members in Search and Rescue Missions -- 1 Introduction -- 2 Related Work -- 2.1 Search and Rescue Missions (SARs) -- 2.2 Social Media in Crisis Situations -- 2.3 Visual Search Principles & -- Patterns -- 3 Problem Statement -- 4 Methodology -- 4.1 Description -- 4.2 Simulation Platform -- 4.3 Scenario -- 5 Experimental Analysis -- 5.1 Experimental Description -- 5.2 Results -- 6 Conclusions -- References -- Visual Exploration and Debugging of Machine Learning Classification over Social Media Data -- 1 Introduction -- 2 Related Work -- 3 SAVIZ: Brief Overview -- 3.1 User Experience -- 4 Conclusion -- References. Efficient and Flexible Compression of Very Sparse Networksof Big Data -- 1 Introduction -- 2 Background and Related Work -- 3 Our Efficient and Flexible Compression Model -- 3.1 Graph Representation of a Social Network -- 3.2 Matrix Representation of a Social Network -- 3.3 Bit Vector Representation of a Follower in a Social Network -- 3.4 Word-Aligned Hybrid (WAH) Compressed Bitmap Representation of a Follower in a Social Network -- 3.4.1 An Example of WAH Compressed Bitmap -- 3.5 Improved Position List Word-Aligned Hybrid (IPLWAH) Compressed Bitmap Representation of a Follower in a Social Network -- 3.5.1 An Example of IPLWAH(1) Compressed Bitmap -- 3.5.2 An Example of IPLWAH(2) Compressed Bitmap -- 3.6 Multi-group Position List Word-Aligned Hybrid (MPLWAH) Compressed Bitmap Representation of a Follower in a Social Network -- 3.6.1 An Example of MPLWAH(2) Compressed Bitmap -- 3.6.2 An Example of MPLWAH(3) Compressed Bitmap -- 3.6.3 Other Examples of MPLWAH(3) Compressed Bitmaps -- 4 Our Data Science Solution for Social Network Mining on MPLWAH Compressed Bitmaps -- 4.1 An Example of Discovering Frequently Followed Groups of Followees from a Social Network Represented by a Collection of MPLWAH(3) Compressed Bitmaps -- 5 Evaluation -- 5.1 Evaluation on Memory Consumption -- 5.2 Evaluation on Runtime -- 5.3 Evaluation on Scalability -- 6 Conclusion -- References -- Weather Big Data Analytics: Seeking Motifs in Multivariate Weather Data -- 1 Introduction -- 2 Related Work -- 3 Temperatures Time Series Analysis and Clustering -- 3.1 Data Acquisition -- 3.2 Data Preparation and Curation -- 3.3 Discretization -- 3.4 LERP-RSA Construction -- 3.5 ARPaD Pattern Discovery -- 3.6 Similarity Meta-analysis -- 4 Experimental Analysis -- 5 Conclusions -- References -- Analysis of Link Prediction Algorithms in Hashtag Graphs -- 1 Introduction. 2 Background and Motivation -- 3 Foundation of the Hashtag Graph -- 3.1 Unweighted Heuristic Link Prediction Methods -- 3.2 Edge-Weighted Heuristic Link Prediction Methods -- 3.3 Graph Neural Network Link Prediction with SEAL -- 3.3.1 SEAL -- 3.3.2 Node Labelling -- 3.4 Other Heuristic Link Prediction Methods -- 3.4.1 Katz Index -- 3.4.2 SimRank -- 3.4.3 Rooted PageRank -- 4 Methodology: Vertex-and-Edge-Weighted Heuristic Link Prediction Methods -- 5 Experimental Setup -- 5.1 Data Collection -- 5.2 Data Pre-processing -- 6 Results -- 6.1 Heuristic Link Prediction Methods -- 6.2 SEAL -- 7 Conclusions and Future Research -- References. |
| Record Nr. | UNISA-996466404703316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Big data and social media analytics : trending applications / / Mehmet Çakırtaş, Mehmet Kemal Ozdemir, editors
| Big data and social media analytics : trending applications / / Mehmet Çakırtaş, Mehmet Kemal Ozdemir, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (246 pages) |
| Disciplina | 005.7 |
| Collana | Lecture notes in social networks |
| Soggetto topico |
Dades massives
Mineria de dades Comunitats virtuals Big data |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-67044-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- Twenty Years of Network Science: A Bibliographic and Co-authorship Network Analysis -- 1 Introduction -- 2 Scholarly Networks Analysis -- 3 Preliminaries and Data -- 3.1 Co-authorship Network of Network Scientists -- 3.2 Glossary -- 3.3 Data Collection and Preparation -- 4 Analysis of Network Science Papers -- 5 Analysis of the Co-authorship Network -- 6 Conclusion -- References -- Impact of Locational Factors on Business Ratings/Reviews: A Yelp and TripAdvisor Study -- 1 Introduction -- 2 Related Work -- 3 Methodology and Datasets -- 3.1 Methodology -- 3.2 Restaurant Success Metric -- 3.3 Restaurant Dataset -- 3.3.1 Yelp-2019 Dataset -- 3.3.2 TripAdvisor Dataset -- 3.4 Location Dataset -- 4 Effect of Location Parameters on Restaurant Success -- 4.1 Location Characteristic Parameters -- 4.1.1 Living Standard -- 4.1.2 Tourism Significance -- 4.1.3 Business Convenience -- 4.1.4 Combined Parameters -- 4.2 Correlation Metrics -- 4.2.1 Spearman's Correlation -- 4.2.2 Kendall's Correlation -- 4.3 Correlation Results -- 4.3.1 State-Wise Correlation Using All Restaurants -- 4.3.2 Cluster-Wise Correlation Using All Restaurants -- 5 Conclusion -- References -- Identifying Reliable Recommenders in Users' Collaborating Filtering and Social Neighbourhoods -- 1 Introduction -- 2 Related Work -- 3 SN CF Prediction Formulation Foundations -- 4 The Proposed Algorithm and the Partial Prediction Combination Alternatives -- 4.1 The Proposed Algorithm -- 4.2 Alternatives for Combining the CF and SN Partial Predictions -- 4.3 Complexity Analysis -- 5 Experimental Evaluation -- 5.1 Prediction Accuracy Experiments Using the PCC as the Similarity Metric -- 5.2 Prediction Accuracy Experiments Using the CS as the Similarity Metric -- 6 Conclusions and Future Work -- References.
Safe Travelling Period Recommendation to High Attack Risk European Destinations Based on Past Attack Information -- 1 Introduction -- 2 Related Work -- 3 Algorithm Prerequisites -- 4 Prediction Algorithm -- 5 Experimental Results -- 5.1 Number of Attacks as the Evaluation Parameter -- 5.2 Number of Fatalities as the Evaluation Parameter -- 6 Conclusion and Future Work -- References -- Analyzing Cyber Influence Campaigns on YouTube Using YouTubeTracker -- 1 Introduction -- 2 State of the Art in YouTube Analysis -- 3 YouTubeTracker -- 3.1 Tracker Feature -- 3.2 Posting Frequency -- 3.3 Content Analysis -- 3.4 Content Engagement -- 4 Case Study: 2018 Trident Juncture Exercise -- 5 Extended Work -- 5.1 Elasticsearch -- 5.2 2019 Canadian Elections Use-Case -- 5.3 Video Characterization Using T-SNE and Barcode Visualization -- 6 Conclusion and Future Works -- References -- Blog Data Analytics Using Blogtrackers -- 1 Introduction -- 2 State of the Art in Blog Monitoring and Analysis -- 3 Blogtrackers: Analytical Capabilities -- 4 Analysis of Asia-Pacific Blogs: A Case Study -- 5 Conclusion and Future Works -- References -- Using Social Media Surveillance in Order to Enhance the Effectiveness of Crew Members in Search and Rescue Missions -- 1 Introduction -- 2 Related Work -- 2.1 Search and Rescue Missions (SARs) -- 2.2 Social Media in Crisis Situations -- 2.3 Visual Search Principles & -- Patterns -- 3 Problem Statement -- 4 Methodology -- 4.1 Description -- 4.2 Simulation Platform -- 4.3 Scenario -- 5 Experimental Analysis -- 5.1 Experimental Description -- 5.2 Results -- 6 Conclusions -- References -- Visual Exploration and Debugging of Machine Learning Classification over Social Media Data -- 1 Introduction -- 2 Related Work -- 3 SAVIZ: Brief Overview -- 3.1 User Experience -- 4 Conclusion -- References. Efficient and Flexible Compression of Very Sparse Networksof Big Data -- 1 Introduction -- 2 Background and Related Work -- 3 Our Efficient and Flexible Compression Model -- 3.1 Graph Representation of a Social Network -- 3.2 Matrix Representation of a Social Network -- 3.3 Bit Vector Representation of a Follower in a Social Network -- 3.4 Word-Aligned Hybrid (WAH) Compressed Bitmap Representation of a Follower in a Social Network -- 3.4.1 An Example of WAH Compressed Bitmap -- 3.5 Improved Position List Word-Aligned Hybrid (IPLWAH) Compressed Bitmap Representation of a Follower in a Social Network -- 3.5.1 An Example of IPLWAH(1) Compressed Bitmap -- 3.5.2 An Example of IPLWAH(2) Compressed Bitmap -- 3.6 Multi-group Position List Word-Aligned Hybrid (MPLWAH) Compressed Bitmap Representation of a Follower in a Social Network -- 3.6.1 An Example of MPLWAH(2) Compressed Bitmap -- 3.6.2 An Example of MPLWAH(3) Compressed Bitmap -- 3.6.3 Other Examples of MPLWAH(3) Compressed Bitmaps -- 4 Our Data Science Solution for Social Network Mining on MPLWAH Compressed Bitmaps -- 4.1 An Example of Discovering Frequently Followed Groups of Followees from a Social Network Represented by a Collection of MPLWAH(3) Compressed Bitmaps -- 5 Evaluation -- 5.1 Evaluation on Memory Consumption -- 5.2 Evaluation on Runtime -- 5.3 Evaluation on Scalability -- 6 Conclusion -- References -- Weather Big Data Analytics: Seeking Motifs in Multivariate Weather Data -- 1 Introduction -- 2 Related Work -- 3 Temperatures Time Series Analysis and Clustering -- 3.1 Data Acquisition -- 3.2 Data Preparation and Curation -- 3.3 Discretization -- 3.4 LERP-RSA Construction -- 3.5 ARPaD Pattern Discovery -- 3.6 Similarity Meta-analysis -- 4 Experimental Analysis -- 5 Conclusions -- References -- Analysis of Link Prediction Algorithms in Hashtag Graphs -- 1 Introduction. 2 Background and Motivation -- 3 Foundation of the Hashtag Graph -- 3.1 Unweighted Heuristic Link Prediction Methods -- 3.2 Edge-Weighted Heuristic Link Prediction Methods -- 3.3 Graph Neural Network Link Prediction with SEAL -- 3.3.1 SEAL -- 3.3.2 Node Labelling -- 3.4 Other Heuristic Link Prediction Methods -- 3.4.1 Katz Index -- 3.4.2 SimRank -- 3.4.3 Rooted PageRank -- 4 Methodology: Vertex-and-Edge-Weighted Heuristic Link Prediction Methods -- 5 Experimental Setup -- 5.1 Data Collection -- 5.2 Data Pre-processing -- 6 Results -- 6.1 Heuristic Link Prediction Methods -- 6.2 SEAL -- 7 Conclusions and Future Research -- References. |
| Record Nr. | UNINA-9910490024903321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Event attendance prediction in social networks / / Xiaomei Zhang, Guohong Cao
| Event attendance prediction in social networks / / Xiaomei Zhang, Guohong Cao |
| Autore | Zhang Xiaomei |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (59 pages) |
| Disciplina | 004.65 |
| Collana | SpringerBriefs in statistics |
| Soggetto topico |
Mineria de dades
Comunitats virtuals Context-aware computing Data mining |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-89262-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466565603316 |
|
Zhang Xiaomei
|
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Event attendance prediction in social networks / / Xiaomei Zhang, Guohong Cao
| Event attendance prediction in social networks / / Xiaomei Zhang, Guohong Cao |
| Autore | Zhang Xiaomei |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (59 pages) |
| Disciplina | 004.65 |
| Collana | SpringerBriefs in statistics |
| Soggetto topico |
Mineria de dades
Comunitats virtuals Context-aware computing Data mining |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-89262-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910520081903321 |
|
Zhang Xiaomei
|
||
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Information refinement technologies for crisis informatics : user expectations and design principles for social media and mobile apps / / Marc-André Kaufhold
| Information refinement technologies for crisis informatics : user expectations and design principles for social media and mobile apps / / Marc-André Kaufhold |
| Autore | Kaufhold Marc-André |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Wiesbaden, Germany : , : Springer Vieweg, , [2021] |
| Descrizione fisica | 1 online resource (XLIV, 381 p. 52 illus.) |
| Disciplina | 302.30285 |
| Soggetto topico |
Crisis management - Information technology
Online social networks Gestió de la crisi Tecnologia de la informació Comunitats virtuals |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-658-33341-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Outline -- Part II: Theoretical and Empirical Findings -- Part III: Design and Evaluation Findings -- Part IV: Conclusion and Outlook. |
| Record Nr. | UNISA-996466413403316 |
|
Kaufhold Marc-André
|
||
| Wiesbaden, Germany : , : Springer Vieweg, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Information refinement technologies for crisis informatics : user expectations and design principles for social media and mobile apps / / Marc-André Kaufhold
| Information refinement technologies for crisis informatics : user expectations and design principles for social media and mobile apps / / Marc-André Kaufhold |
| Autore | Kaufhold Marc-André |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Wiesbaden, Germany : , : Springer Vieweg, , [2021] |
| Descrizione fisica | 1 online resource (XLIV, 381 p. 52 illus.) |
| Disciplina | 302.30285 |
| Soggetto topico |
Crisis management - Information technology
Online social networks Gestió de la crisi Tecnologia de la informació Comunitats virtuals |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-658-33341-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Outline -- Part II: Theoretical and Empirical Findings -- Part III: Design and Evaluation Findings -- Part IV: Conclusion and Outlook. |
| Record Nr. | UNINA-9910483108703321 |
|
Kaufhold Marc-André
|
||
| Wiesbaden, Germany : , : Springer Vieweg, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
