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.
| ISBN: | 9783319364414 |
| Publication date: | 13th October 2016 |
| Author: | Przemyslaw Kazienko, Nitesh Chawla |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Paperback |
| Pagination: | 240 pages |
| Series: | Lecture Notes in Social Networks |
| Genres: |
Data mining Expert systems / knowledge-based systems Combinatorics and graph theory Computer applications in the social and behavioural sciences |