Social Multimedia Signals: A Signal Processing Approach to Social Network PhenomenaSpringer, 11. aug. 2014 - 176 sider This book provides a comprehensive coverage of the state-of-the-art in understanding media popularity and trends in online social networks through social multimedia signals. With insights from the study of popularity and sharing patterns of online media, trend spread in social media, social network analysis for multimedia and visualizing diffusion of media in online social networks. In particular, the book will address the following important issues: Understanding social network phenomena from a signal processing point of view; The existence and popularity of multimedia as shared and social media, how content or origin of sharing activity can affect its spread and popularity; The network-signal duality principle, i.e., how the signal tells us key properties of information diffusion in networks; The social signal penetration hypothesis, i.e., how the popularity of media in one domain can affect the popularity of media in another. The book will help researchers, developers and business (advertising/marketing) individuals to comprehend the potential in exploring social multimedia signals collected from social network data quantitatively from a signal processing perspective. |
Innhold
| 1 | |
| 8 | |
3 The World of Signals | 19 |
4 The Network and the Signal | 31 |
Needle in a Haystack | 42 |
The Empirical Judgment | 59 |
7 Following Signal Trajectories | 73 |
8 Capturing CrossDomain Ripples | 95 |
9 Socially Aware Media Applications | 114 |
10 Revelations from Social Multimedia Data | 135 |
11 SocioSemantic Analysis | 143 |
Gazing at Ripples | 161 |
Appendix | 175 |
Andre utgaver - Vis alle
Social Multimedia Signals: A Signal Processing Approach to Social Network ... Suman Deb Roy,Wenjun Zeng Ingen forhåndsvisning tilgjengelig - 2016 |
Social Multimedia Signals: A Signal Processing Approach to Social Network ... Suman Deb Roy,Wenjun Zeng Ingen forhåndsvisning tilgjengelig - 2014 |
Social Multimedia Signals: A Signal Processing Approach to Social Network ... Suman Deb Roy,Wenjun Zeng Ingen forhåndsvisning tilgjengelig - 2014 |
Vanlige uttrykk og setninger
algorithms analysis ARIMA Attention Automaton attention shift Bayesian network bursty categorical affinity chapter cities communities computational cross-domain data instances dataset DBpedia Didier Drogba discuss distribution domain dynamic eigenvectors estimation example extracted Facebook feature filter geospan Google information diffusion label Laplacian matrix Levenshtein distance LinkedIn machine learning macro signals matrix multimedia research nodes observed OSLDA parallel coordinates parameters patterns peak persistence prediction query random real-time recurrence related video represent sampling seed video semantic concepts semantic graphs semantic network Semantic Web semNet shown in Fig signal detection signal processing slots social data social media social multimedia data social multimedia signals social streams social topics social video social web SocialTransfer target technique tion topic modeling topic space topical words training data transfer graph transfer learning trending topics tweets Twitter update user group video popularity video recommendation video search view counts visualization volatility YouTube Zeng
