2013, ISBN: 9783709113455
[ED: Hardcover], [PU: Springer / Springer Vienna / Springer, Wien], The study of social networks was originated in social and business communities. In recent years, social network researc… Más…
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2013, ISBN: 9783709113455
[ED: Gebunden], [PU: Springer Wien], The study of social networks was originated in social and business communities. In recent years, social network research has advanced significantly th… Más…
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The Influence of Technology on Social Network Analysis and Mining Tansel Özyer (u. a.) Buch Lecture Notes in Social Networks Englisch 2013 Springer Wien EAN 9783709113455 - encuadernado, tapa blanda
2013, ISBN: 9783709113455
[ED: Gebunden], [PU: Springer Wien], The study of social networks was originated in social and business communities. In recent years, social network research has advanced significantly th… Más…
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The Influence of Technology on Social Network Analysis and Mining Tansel Özyer (u. a.) Buch Lecture Notes in Social Networks Englisch 2013 - encuadernado, tapa blanda
2013, ISBN: 9783709113455
[ED: Gebunden], [PU: Springer Wien], The study of social networks was originated in social and business communities. In recent years, social network research has advanced significantly th… Más…
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ISBN: 9783709113455
[ED: Buch], [PU: Springer-Verlag KG], Neuware - The study of social networks was originated in social and business communities. In recent years, social network research has advanced signi… Más…
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2013, ISBN: 9783709113455
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Özyer, Tansel:
The Influence of Technology on Social Network Analysis and Mining / Tansel Özyer (u. a.) / Buch / Lecture Notes in Social Networks / Englisch / 2013 / Springer Wien / EAN 9783709113455 - encuadernado, tapa blanda2013, ISBN: 9783709113455
[ED: Gebunden], [PU: Springer Wien], The study of social networks was originated in social and business communities. In recent years, social network research has advanced significantly th… Más…
The Influence of Technology on Social Network Analysis and Mining Tansel Özyer (u. a.) Buch Lecture Notes in Social Networks Englisch 2013 Springer Wien EAN 9783709113455 - encuadernado, tapa blanda
2013
ISBN: 9783709113455
[ED: Gebunden], [PU: Springer Wien], The study of social networks was originated in social and business communities. In recent years, social network research has advanced significantly th… Más…
The Influence of Technology on Social Network Analysis and Mining Tansel Özyer (u. a.) Buch Lecture Notes in Social Networks Englisch 2013 - encuadernado, tapa blanda
2013, ISBN: 9783709113455
[ED: Gebunden], [PU: Springer Wien], The study of social networks was originated in social and business communities. In recent years, social network research has advanced significantly th… Más…
ISBN: 9783709113455
[ED: Buch], [PU: Springer-Verlag KG], Neuware - The study of social networks was originated in social and business communities. In recent years, social network research has advanced signi… Más…
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Detalles del libro - The Influence of Technology on Social Network Analysis and Mining Tansel zyer Editor
EAN (ISBN-13): 9783709113455
ISBN (ISBN-10): 3709113458
Tapa dura
Año de publicación: 2013
Editorial: Springer Vienna Core >2
643 Páginas
Peso: 1,152 kg
Idioma: Englisch
Libro en la base de datos desde 2009-02-15T19:33:21-06:00 (Mexico City)
Página de detalles modificada por última vez el 2024-01-31T13:39:46-06:00 (Mexico City)
ISBN/EAN: 9783709113455
ISBN - escritura alterna:
3-7091-1345-8, 978-3-7091-1345-5
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: reus, arno, gerhard wagner, wägner, reuse, reuß, tan, tans, reuser
Título del libro: net, mini, network, social analysis, the influence, infl, mining
Datos del la editorial
Autor: Tansel Özyer; Jon Rokne; Gerhard Wagner; Arno H.P. Reuser
Título: Lecture Notes in Social Networks; The Influence of Technology on Social Network Analysis and Mining
Editorial: Springer; Springer Wien
643 Páginas
Año de publicación: 2013-03-29
Vienna
Impreso en
Idioma: Inglés
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XXIII, 643 p.
BB; Hardcover, Softcover / Informatik, EDV/Allgemeines, Lexika; Informatik; Verstehen; Computer Science; EA; BC
The study of social networks was originated in social and business communities. In recent years, social network research has advanced significantly; the development of sophisticated techniques for Social Network Analysis and Mining (SNAM) has been highly influenced by the online social Web sites, email logs, phone logs and instant messaging systems, which are widely analyzed using graph theory and machine learning techniques. People perceive the Web increasingly as a social medium that fosters interaction among people, sharing of experiences and knowledge, group activities, community formation and evolution. This has led to a rising prominence of SNAM in academia, politics, homeland security and business. This follows the pattern of known entities of our society that have evolved into networks in which actors are increasingly dependent on their structural embedding General areas of interest to the book include information science and mathematics, communication studies, business and organizational studies, sociology, psychology, anthropology, applied linguistics, biology and medicine.
EgoClustering: Overlapping Community Detection via Merged Friendship-Groups.- Optimization Techniques for Multiple Centrality Computations.- Application of social network metrics to a trust-aware collaborative model for generating personalized user recommendations.- TweCoM: topic and context mining from Twitter.- Pixel-Oriented Network Visualization. Static Visualization of Change in Social Networks.- Building Expert Recommenders from Email-Based Personal Social Networks.- A local structure-based method for nodes clustering. Application to a large mobile phone social network.- Virus Propagation Modeling in Facebook.- Comparing and visualizing the social spreading of products on a large social network.- Engagingness and Responsiveness Behavior Models on the Enron Email Network and its Application to Email Reply Order Prediction.- Efficient Extraction of High-Betweenness Vertices from Heterogeneous Networks.- Cross-Domain Analysis of the Blogosphere for Trend Prediction.- Informative Value of Individual and Relational Data Compared Through Business-Oriented Community Detection.- Clustering Social Networks Using Distance-Preserving Subgraph.- Extraction of Spatio-Temporal Data for Social Networks.- Detecting Communities in Massive Networks Efficiently with Flexible Resolution.- Detecting Emergent Behavior in Social Network of Agents.- Factors enabling information propagation in a Social Network Site.- Learning from the Past: An Analysis of Person Name Corrections in the DBLP Collection and Social Network Properties of Affected Entities.- Towards Leader based Recommendations.- Enhancing Child Safety in MMOs.- An Adaptive Framework for Discovery and Mining of User Profiles from Social Web-Based Interest Communities.- DB2SNA: an All-in-one Tool for Extraction and Aggregation of underlying Social Networks from Relational Databases.- Extending Social Network Analysis with Discourse Analysis - Combining Relational with Interpretive Data.- How Latent Class Models Matter to Social Network Analysis and Mining: Exploring the Emergence of Community.- Integrating Online Social Network Analysis in Personalized Web Search.- Evolution of Online Forum Communities.- Movie Rating Prediction with Matrix Factorization Algorithm.
The study of social networks was originated in social and business communities. In recent years, social network research has advanced significantly; the development of sophisticated techniques for Social Network Analysis and Mining (SNAM) has been highly influenced by the online social Web sites, email logs, phone logs and instant messaging systems, which are widely analyzed using graph theory and machine learning techniques. People perceive the Web increasingly as a social medium that fosters interaction among people, sharing of experiences and knowledge, group activities, community formation and evolution. This has led to a rising prominence of SNAM in academia, politics, homeland security and business. This follows the pattern of known entities of our society that have evolved into networks in which actors are increasingly dependent on their structural embedding General areas of interest to the book include information science and mathematics, communication studies, business and organizational studies, sociology, psychology, anthropology, applied linguistics, biology and medicine.
Provides applications of social network analysis Provides insights into cyber anthropology Covers influential aspects of social media in numerous contexts Includes supplementary material: sn.pub/extras
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