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Enhancing Marine Data Transmission with Socially-Aware Resilient Vessel Networks [article]

Ruobing Jiang, Chao Liu
2022 arXiv   pre-print
To efficiently manage opportunistic vessel-to-vessel (V2V) connections for optimal routing, Social Network Analysis (SNA) on historical vessel interactions is applied for vessel familiarity measurement  ...  In this paper, Resilient Vessel Network (RVN) is proposed to fundamentally enhance BMD transmission.  ...  Community-based Routing in RVNs We propose socially aware routing to improve data forwarding efficiency by optimizing the familiarity of relays with data targets.  ... 
arXiv:2204.11654v1 fatcat:t7xphe6u7naxllphfm52x5uq6a

A Study on the Collection Site Profiling and Issue-detection Methodology for Analysis of Customer Feedback on Social Big Data

Eun-Jee Song, Min-Shik Kang
2014 International Journal of Smart Home  
As competition among the corporations in the service industry is growing fiercer, efficient management of customer feedback is necessary in order to grasp customer needs, which change day by day.  ...  This paper proposes a methodology which detects issues by analyzing diverse data patterns as a method for analyzing the Big Data of social media.  ...  Introduction With ever-developing technology of networks, online users can express their opinions in a variety of spaces such as message boards in websites, blogs, cafes and social service networks (SNS  ... 
doi:10.14257/ijsh.2014.8.6.16 fatcat:k7fidatfe5anjoa7ixupdsfiza

Data Analytics to Examine Trending Topics for Indonesian Election 2019

Firman Arifin, Budi Nur Iman, Budi Nur Iman, Elly Purwantini, Elly Purwantini, Mochamad Hariadi, Mochamad Hariadi, Muhammad Anshari, Muhammad Anshari
2019 INOVTEK Polbeng - Seri Informatika  
Utilizing big data analytics from social media provide an important source of information that candidates can utilize, manage and even engage them in targeted political campaigning agenda.  ...  One of the source in big data is social media's interactions. Social media empowers public to participate proactivelyin the campaigning activities.  ...  ACKNOWLEDGEMENT This research was supported in part by the Ministry of Research, Technology and Higher Education.  ... 
doi:10.35314/isi.v4i2.984 fatcat:j6dpyi2r4rg5nox2lkakffiv6a

A Comprehensive Review on Sustainable Aspects of Big Data Analytics for Smart Grid

Vinoth Kumar Ponnusamy, Padmanathan Kasinathan, Rajvikram Madurai Elavarasan, Vinoth Ramanathan, Ranjith Kumar Anandan, Umashankar Subramaniam, Aritra Ghosh, Eklas Hossain
2021 Sustainability  
The current research work deals with the achievement of sustainability in the smart grid and efficient data management using big data analytics, that has social, economic, technical and political impacts  ...  Finally, the work discusses the challenges and future directions to improve smart grid technologies with big data analytics in action.  ...  Further, through target 12.3, i.e., efficient utilization of natural resources with the integration of renewable sources in the smart grid, SDG 7 has a considerable influence.  ... 
doi:10.3390/su132313322 fatcat:sb2v2q32nnc3fklnd3354tusta

IEEE Access Special Section Editorial: Cloud-Fog-Edge Computing in Cyber–Physical–Social Systems (CPSS)

Md. Arafatur Rahman, Zahir Tari, Dakai Zhu, Francesco Piccialli, Xiaokang Wang
2020 IEEE Access  
The article titled ''Targeted influence maximization based on cloud computing over big data in social networks,'' by Chen et al., proposes a targeted influence maximization solution for social network  ...  Thus, knowing how to deal with CPSS big data efficiently is the key to providing services for users.  ... 
doi:10.1109/access.2020.3042584 fatcat:zwqibk22qzh7nedoz7b5dlbimu

Realtime analysis of information diffusion in social media

Io Taxidou, Peter Fischer
2013 Proceedings of the VLDB Endowment  
Our high level goal is to investigate how information diffuses in real time on the underlying social network and the role of different users in the propagation process.  ...  From a conceptual point of view, we are interested both in the structural, sociological and temporal aspects of information diffusion in social media with a twist on the real time factor of what is happening  ...  Infrastructures that target Big Data provide only partial support for the requirements of real-time social media analysis.  ... 
doi:10.14778/2536274.2536328 fatcat:icunoeezlbcmha2wipnxave5pq

A Survey on Securing and Optimizing Health Care Bigdata

K. Kavitha, D. Anuradha, P. Pandian
2018 International Journal of Engineering & Technology  
And also, to minimize the cost spent by patient and energy wasted.  ...  evolve the ways in which the valuable Big-data can be optimized to improve the Big-data analysis.  ...  Once the data are shared the corresponding doctor can access the data in social network and can decrypt the content.  ... 
doi:10.14419/ijet.v7i4.10.21212 fatcat:wtbgnsobgbhdtdbmylnizdwp6q

Bio-Inspired ICT for Big Data Management in Healthcare [chapter]

Alessandro Di Stefano, Aurelio La Corte, Pietro Lió, Marialisa Scatá
2015 Studies in Big Data  
Following a bio-inspired approach to ICT, we can relate Big Data and the data intensive computing issues in the future vision of a smart healthcare.  ...  the connectedness and social contagion processes.  ...  Through exploiting the social and comorbidity map, the target is to study this reciprocal influence.  ... 
doi:10.1007/978-3-319-23742-8_1 fatcat:ulinqn4n6vggdk7d5dk3w5ktr4

Social Engineering Attacks: A Survey

Fatima Salahdine, Naima Kaabouch
2019 Future Internet  
Social engineering is one of the biggest challenges facing network security because it exploits the natural human tendency to trust.  ...  This paper provides an in-depth survey about the social engineering attacks, their classifications, detection strategies, and prevention procedures.  ...  Whaling phishing is a spear phishing attack targeting high profiles in companies named big fishes.  ... 
doi:10.3390/fi11040089 fatcat:sboj52i2pvcvrev6powu63zlo4

Business Intelligence and Analytics

Ee-Peng Lim, Hsinchun Chen, Guoqing Chen
2013 ACM Transactions on Management Information Systems  
In this article, we will categorize BIA research activities into three broad research directions: (a) big data analytics, (b) text analytics, and (c) network analytics.  ...  The new insights can be used for improving products and services, achieving better operational efficiency, and fostering customer relationships.  ...  (b) How can one distinguish social influence from selection in networks?  ... 
doi:10.1145/2407740.2407741 fatcat:enjlhfzqfnfqvlv63axun5dvee

Ultra-Dense HetNets Meet Big Data: Green Frameworks, Techniques, and Approaches [article]

Yuzhou Li, Yu Zhang, Kai Luo, Tao Jiang, Zan Li, Wei Peng
2017 arXiv   pre-print
In view of these, this article first develops a big-data-aware artificial intelligent based framework for energy-efficient operations of Ud-HetNets.  ...  However, counter to the 5G vision, ultra-dense deployment of networks would significantly increase energy consumption and thus decrease network energy efficiency suffering from the conventional worst-case  ...  For these targets, Ud-HetNets of big data should discern network patterns and perceive user behaviors to make adaptive and proactive decisions for energy-efficient network control, optimization, and management  ... 
arXiv:1709.08797v1 fatcat:th6dj26ua5gnbkip7shv7o6oby

Big Data Analytics Implications for Smart Tourism Destinations Towards the Enrichment of Content Tourism

N. Padmaja, T. Sudha
2019 Asian Journal of Computer Science and Technology  
Smart tourism has huge amount of Social Big data available from tourists can cherish the value conception process for a Smart Tourism Destination.  ...  emergence of new business models, exploitation of Big Data in the context of information-intensive industries and mainly in Tourism.  ...  Most of this data is of an external nature, in the form of Twitter or other social networking feeds.  ... 
doi:10.51983/ajcst-2019.8.s3.2114 fatcat:yopht3hu3jhr7b4pixcy4halge

A Novel Framework for Mobile Telecom Network Analysis using Big Data Platform

M. M. Abo Khedra, A. A., Hedi HAMDI, Hesham A.
2020 International Journal of Advanced Computer Science and Applications  
Social Network Analysis measures the interconnection between humans, entities or communities and the streaming of messages between them.  ...  be targeted by specific marketing campaigns.  ...  Social Network Analysis Due to the big size of social network data, there is a need for a big data architecture to host the data and make the analysis on top of it.  ... 
doi:10.14569/ijacsa.2020.0110863 fatcat:cc36totvi5hw3prfnlc4ziao3a

Outbreak minimization v.s. influence maximization: an optimization framework

Chun-Hung Cheng, Yong-Hong Kuo, Ziye Zhou
2020 BMC Medical Informatics and Decision Making  
spread over social networks.  ...  It shares similarity with the famous influence maximization problem studied in the field of social network analysis, whose objective is to identify a group of influential individuals to maximize the influence  ...  In the IM problem, a user can influence others through social connections, making influence spread over social networks.  ... 
doi:10.1186/s12911-020-01281-0 pmid:33066791 fatcat:eyyoyc4t25forio4u3ixfjezba

Analytic surveillance: Big data business models in the time of privacy awareness

Eva-Patricia Fernández-Manzano, María-Isabel González-Vasco
2018 El Profesional de la Informacion  
Big collections of data are indeed an inviting target for hackers.  ...  In fact, social networks' knowledge of its users allows for the targeting of specific communities, so tech-companies such as Facebook, Twitter, or Google bet for launching audiovisual content into market  ... 
doi:10.3145/epi.2018.mar.19 fatcat:ffi7tmlqdrhkfkkuhp5ega472m
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