Applications of Social Media and Social Network Analysis: Lecture Notes in Social Networks
Editat de Przemysław Kazienko, Nitesh Chawlaen Limba Engleză Hardback – 10 iun 2015
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 643.50 lei 6-8 săpt. | |
Springer International Publishing – 13 oct 2016 | 643.50 lei 6-8 săpt. | |
Hardback (1) | 649.75 lei 6-8 săpt. | |
Springer International Publishing – 10 iun 2015 | 649.75 lei 6-8 săpt. |
Din seria Lecture Notes in Social Networks
- 20% Preț: 655.35 lei
- 20% Preț: 990.80 lei
- 18% Preț: 1003.38 lei
- 18% Preț: 917.05 lei
- 20% Preț: 337.52 lei
- 20% Preț: 649.28 lei
- 20% Preț: 996.07 lei
- 15% Preț: 503.83 lei
- 18% Preț: 998.66 lei
- 18% Preț: 728.74 lei
- 20% Preț: 991.60 lei
- 18% Preț: 1106.00 lei
- 20% Preț: 668.57 lei
- 5% Preț: 349.68 lei
- 20% Preț: 339.14 lei
- 20% Preț: 587.59 lei
- 15% Preț: 644.82 lei
- 20% Preț: 628.52 lei
- 15% Preț: 587.72 lei
- 20% Preț: 648.44 lei
- 20% Preț: 570.97 lei
- 20% Preț: 642.52 lei
- 20% Preț: 655.02 lei
- 15% Preț: 643.34 lei
- 20% Preț: 764.43 lei
- 20% Preț: 649.93 lei
- 20% Preț: 649.60 lei
- 20% Preț: 650.08 lei
- 20% Preț: 889.62 lei
- Preț: 389.11 lei
- Preț: 395.09 lei
- 20% Preț: 924.53 lei
- 20% Preț: 341.95 lei
- 20% Preț: 992.76 lei
- 20% Preț: 934.03 lei
- 15% Preț: 641.03 lei
Preț: 649.75 lei
Preț vechi: 812.19 lei
-20% Nou
Puncte Express: 975
Preț estimativ în valută:
124.39€ • 129.79$ • 104.27£
124.39€ • 129.79$ • 104.27£
Carte tipărită la comandă
Livrare economică 13-27 martie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783319190020
ISBN-10: 3319190024
Pagini: 240
Ilustrații: XIII, 240 p. 123 illus., 37 illus. in color.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.54 kg
Ediția:2015
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Social Networks
Locul publicării:Cham, Switzerland
ISBN-10: 3319190024
Pagini: 240
Ilustrații: XIII, 240 p. 123 illus., 37 illus. in color.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.54 kg
Ediția:2015
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Social Networks
Locul publicării:Cham, Switzerland
Public țintă
ResearchCuprins
A Node-Centric Reputation Computation Algorithm on Online Social Networks.- Measuring Centralities for Transportation Networks Beyond Structures.- Indifferent Attachment: The Role of Degree in Ranking Friends.- Analyzing the Social Networks of Contributors in Open Source Software Community.- Precise Modeling Rumor Propagation and Control Strategy on Social Networks.- Studying Graph Dynamics Through Intrinsic Time Based Diffusion Analysis.- A Learning Based Approach for Real-time Emotion Classification of Tweets.- A New Linguistic Approach to Assess the Opinion of Users in Social Network Environments.- Visual Analysis of Topical Evolution in Unstructured Text: Design and Evaluation of TopicFlow.- Explaining Scientic and Technical Emergence Forecasting.- Combining Social, Audiovisual and Experiment Content for Enhanced Cultural Experiences.- Social Network Analysis for Biometric Template Protection.
Textul de pe ultima copertă
This collection of contributed chapters demonstrates a wide range of applications within two overlapping research domains: social media analysis and social network analysis. Various methodologies were utilized in the twelve individual chapters including static, dynamic and real-time approaches to graph, textual and multimedia data analysis. The topics apply to reputation computation, emotion detection, topic evolution, rumor propagation, evaluation of textual opinions, friend ranking, analysis of public transportation networks, diffusion in dynamic networks, analysis of contributors to communities of open source software developers, biometric template generation as well as analysis of user behavior within heterogeneous environments of cultural educational centers. Addressing these challenging applications is what makes this edited volume of interest to researchers and students focused on social media and social network analysis.
Caracteristici
Includes a number of real-world application of methodologies developed for social network analysis Covers application of various analytical methods to social media data Demonstrates applicability of static, dynamic and real time approaches Includes supplementary material: sn.pub/extras