Visualizing the Hotspots and Emerging Trends of Multimedia Big Data through Scientometrics

Multimedia Big Data, known as the biggest big data, is becoming the forefront of big data research. However, a visualization research on the hotspots and trends of Multimedia Big Data through scientometric is still lacking. Based on the references from SCI-EXPANDED(SCIE), SSCI, CPCI-S, CPCI-SSHSI and arXiv databases in 2008–2017, the hotspots and emerging trends of Multimedia Big Data were identified for the first time by visualizing the co-cited references network, co-occurrence keywords network, burst references, burst keywords, Dual-Map Overlays network and Timeline networks with the information visualization software CiteSpaceV, Google Fusion Tables and Carrot2. The results show that: (1)Multimedia Big Data research has spread across the globe, especially in the United States, China and some European countries; (2)"big data”, “web application”, “data mining”, “virtual screening”, “cloud service”, “structure-activity relationship”, “similarity search problems”, “concept modeling”, etc. are the research hotspots; (3) the research focus evolved mainly from “basic security problems” and “algorithm problems” in the early, to technical problems, then to the applications and social impacts, and to “mobile internet”, “cloud”, “data screening”, “payment security”, etc. till now.(4) The emerging trends mainly include “social influence modeling”, “mobile media cloud”, “video surveillance system”, “semantic relations”, “privacy”, “internet of thing”, “precision medicine”, “parallel massive clustering”, etc.; (5) Multimedia Big Data research is developing toward interdisciplinary, of which “mathematics and systems” is a hot discipline and “medicine and clinical” is an emerging discipline; (6) the fusion development of multimedia big data with smart city, automotive industry, clothing industry and medical industry will be the trends of the times. The paper aims to promote the development of related theories on Multimedia Big Data and provide reference for researchers to identify relevant research directions.

[1]  Ramesh C. Jain,et al.  Guest Editorial Multimedia: The Biggest Big Data , 2015, IEEE Trans. Multim..

[2]  Bo Wang,et al.  Literature retrieval based on citation context , 2014, Scientometrics.

[3]  Henry G. Small,et al.  Citation context analysis of a co-citation cluster: Recombinant-DNA , 1980, Scientometrics.

[4]  Deyu Meng,et al.  Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning , 2016, ArXiv.

[5]  Chaomei Chen,et al.  Patterns of connections and movements in dual‐map overlays: A new method of publication portfolio analysis , 2014, J. Assoc. Inf. Sci. Technol..

[6]  E GARFIELD,et al.  Citation indexes for science; a new dimension in documentation through association of ideas. , 2006, Science.

[7]  Jianhua Ma,et al.  An effective and economical architecture for semantic-based heterogeneous multimedia big data retrieval , 2015, J. Syst. Softw..

[8]  Yifan Li,et al.  Field Studies with Multimedia Big Data: Opportunities and Challenges (Extended Ver , 2017, ArXiv.

[9]  Dawid Weiss,et al.  Conceptual Clustering Using Lingo Algorithm: Evaluation on Open Directory Project Data , 2004, Intelligent Information Systems.

[10]  Xin Li,et al.  A scientometric review of hotspots and emerging trends in additive manufacturing , 2017 .

[11]  Pei-Chun Lee,et al.  Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight , 2010, Scientometrics.

[12]  Lan Chen,et al.  Knowle: A semantic link network based system for organizing large scale online news events , 2015, Future Gener. Comput. Syst..

[13]  Bharat K. Bhargava,et al.  MPEG Video Encryption Algorithms , 2004, Multimedia Tools and Applications.

[14]  Haeng-Kon Kim.  Interconnections of Object Management for U-healthcare Services , 2014, MUE 2014.

[15]  Yannis Avrithis,et al.  Using Visual Context and Region Semantics for High-Level Concept Detection , 2009, IEEE Transactions on Multimedia.

[16]  Eric Torng,et al.  Compressing Network Access Control Lists , 2011, IEEE Transactions on Parallel and Distributed Systems.

[17]  GaoYue,et al.  Recent advances in social multimedia big data mining and applications , 2016 .

[18]  Paolo Nesi,et al.  Ontology Bulding vs Data Harvesting and Cleaning for Smart-city Services , 2014, DMS 2014.

[19]  Xue Chen,et al.  Building Association Link Network for Semantic Link on Web Resources , 2011, IEEE Transactions on Automation Science and Engineering.

[20]  Ying Sun,et al.  The application of weighted co-occurring keywords time gram in academic research temporal sequence discovery , 2013, ASIST.

[21]  Aurora González-Teruel,et al.  Mapping recent information behavior research: an analysis of co-authorship and co-citation networks , 2015, Scientometrics.

[22]  Ha Jin Kim,et al.  Content- and proximity-based author co-citation analysis using citation sentences , 2016, J. Informetrics.

[23]  Huafeng Xu,et al.  A self-organizing principle for learning nonlinear manifolds , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[24]  Meen Chul Kim,et al.  Orphan drugs and rare diseases: a scientometric review (2000 – 2014) , 2014 .

[25]  Lan Chen,et al.  Semantic Link Network-Based Model for Organizing Multimedia Big Data , 2014, IEEE Transactions on Emerging Topics in Computing.

[26]  Mohan S. Kankanhalli,et al.  Guest editorial: Privacy-aware multimedia surveillance systems , 2011, Multimedia Systems.

[27]  Mor Naaman,et al.  Robust detection of hyper-local events from geotagged social media data , 2013, MDMKDD '13.

[28]  J. Neale,et al.  Interactive channel for multimedia satellite networks , 2001, IEEE Commun. Mag..

[29]  James She,et al.  Connection discovery using shared images by Gaussian relational topic model , 2016, 2016 IEEE International Conference on Big Data (Big Data).

[30]  Cees Snoek,et al.  Adding semantics to image-region annotations with the Name-It-Game , 2011, Multimedia Systems.

[31]  Dimitris K. Agrafiotis,et al.  Conformational Sampling by Self-Organization , 2003, J. Chem. Inf. Comput. Sci..

[32]  Chaomei Chen,et al.  CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature , 2006, J. Assoc. Inf. Sci. Technol..

[33]  Lin Li,et al.  Multi-modal Multimedia Big Data Analyzing Architecture and Resource Allocation on Cloud Platform , 2017, Neurocomputing.

[34]  Chen Yu,et al.  The methodology function of Cite Space mapping knowledge domains , 2015 .

[35]  Lifeng Wu,et al.  The process of criminal investigation based on grey hazy set , 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

[36]  Jun Li,et al.  Data restoration based on Gaussian noisy and motion-blurred snapshots in multimedia big data , 2018, Multimedia Tools and Applications.

[37]  Tiejun Huang,et al.  Detecting Rare Actions and Events from Surveillance Big Data with Bag of Dynamic Trajectories , 2015, 2015 IEEE International Conference on Multimedia Big Data.

[38]  Dawid Weiss,et al.  Carrot and Language Properties in Web Search Results Clustering , 2003, AWIC.

[39]  Jon M. Kleinberg,et al.  Bursty and Hierarchical Structure in Streams , 2002, Data Mining and Knowledge Discovery.

[40]  Ben Shneiderman,et al.  Graph Analytics-Lessons Learned and Challenges Ahead , 2011, IEEE Computer Graphics and Applications.

[41]  Audilio Gonzales-Aguilar,et al.  Carrot2: búsqueda y visualización de la información , 2012 .

[42]  Dimitris K. Agrafiotis,et al.  Stochastic proximity embedding , 2003, J. Comput. Chem..

[43]  Gang Hua,et al.  Multimedia Big Data Computing , 2015, IEEE Multim..

[44]  Arif Ghafoor,et al.  A Framework for Composition and Enforcement of Privacy-Aware and Context-Driven Authorization Mechanism for Multimedia Big Data , 2015, IEEE Transactions on Multimedia.

[45]  John R. Smith.  Riding the multimedia big data wave , 2013, SIGIR.

[46]  Miao,et al.  Microblog Burst Keywords Detection Based on Social Trust and Dynamics Model , 2014 .

[47]  Alberto Del Bimbo,et al.  Multimedia Big Data , 2015, IEEE Multim..

[48]  Yue Gao,et al.  Recent advances in social multimedia big data mining and applications , 2015, Multimedia Systems.

[49]  Lionel M. Ni,et al.  A Reliability-oriented Transmission Service in Wireless Sensor Networks , 2007, 2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems.