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An Empirical Comparison of Big Graph Frameworks in the Context of Network Analysis [article]

Jannis Koch, Christian L. Staudt, Maximilian Vogel, Henning Meyerhenke
2016 arXiv   pre-print
In our experiments a cluster of eight computers running Apache Giraph enables the analysis of a network with about 2 billion edges, which is too large for a single machine of the same type.  ...  The implementations are executed on a computer cluster to evaluate the frameworks' suitability in practice and to compare their performance to that of the single-machine, shared-memory parallel network  ...  Parts of this paper have been published in preliminary form as [Koch et al., 2015] .  ... 
arXiv:1601.00289v1 fatcat:zr3icqvs2fa4vnmjgh2il25e3e

Effectiveness of the Execution and Prevention of Metric-Based Adversarial Attacks on Social Network Data

Nikolaus Nova Parulian, Tiffany Lu, Shubhanshu Mishra, Mihai Avram, Jana Diesner
2020 Information  
The analysis of observed networks oftentimes involves the identification of influential nodes via various centrality measures.  ...  Using correlation analysis on our experimental results, we identify how combining measures with low correlation can aid in reducing the effectiveness of adversarial moves.  ...  Conflicts of Interest: The authors declare no conflict of interest. Abbreviations The following abbreviations are used in this manuscript:  ... 
doi:10.3390/info11060306 fatcat:7f4bzepa2rekblfqoyaaywwjfu

Reference Architecture and Classification of Technologies, Products and Services for Big Data Systems

Pekka Pääkkönen, Daniel Pakkala
2015 Big Data Research  
Additionally, we acknowledge developers and publishers of the reviewed big data use cases, whose publications were used as empirical material in this study.  ...  Acknowledgements The authors acknowledge Markus Meier for design of the reference architecture for big data systems, which inspired the authors for replication and differentiation in this work.  ...  The design was conducted in the empirically-grounded design framework for reference architectures [17, 12] . Big data use cases Many big data use cases have been published.  ... 
doi:10.1016/j.bdr.2015.01.001 fatcat:diyyx34wqzewbcwshq2yezsxm4

Distributed Computing Engines for Big Data Analytics

2019 International journal of recent technology and engineering  
In this paper, empirical study is made on the three frameworks like Hadoop, Apache Spark and Apache Flink with different parameters like type of network, block size of HDFS, input data size and other configuration  ...  This has enabled enterprises to give more value to every piece of data. This in turn led to the increased usage of cloud for both storage and processing.  ...  Figure 5 : 5 Impact of the network with WordCount (a), TeraSort (b) and PageRank (c) As shown inFigure 5, performance comparison in terms of the execution time when different interconnect network is used  ... 
doi:10.35940/ijrte.b3771.078219 fatcat:bbpnou3i2rbtdiqxufjj2kdzwe

A Comparative Analysis of Big Data Frameworks: An Adoption Perspective

Madiha Khalid, Muhammad Murtaza Yousaf
2021 Applied Sciences  
We identify key requirements of a big framework and review each of these frameworks in the perspective of those requirements.  ...  To enhance the clarity of comparison and analysis, we group the logically related features, forming a feature vector.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app112211033 fatcat:mfh3thwe5ngdnolkhc264rkbdi

Social Networks for Threat Perception and Analysis

Pragati Dnyaneshwar Bharsakle
2021 International Journal for Research in Applied Science and Engineering Technology  
Many users of social Network are not aware about the number of security risks in networks such as identity theft, privacy violations, sexual harassment etc,.  ...  In the current era of massive knowledge, high volumes of valuable knowledge is simply collected and generated. Social networks square measure samples of generating sources of those huge knowledge.  ...  Toward this end, we also developed an efficient technique to cluster all the ego-networks in a graph in parallel efficiently.  ... 
doi:10.22214/ijraset.2021.35911 fatcat:ibklet2tebhv5ngo4g73wbvw6q

Benchmarking Graph Data Management and Processing Systems: A Survey [article]

Miyuru Dayarathna, Toyotaro Suzumura
2021 arXiv   pre-print
We conduct an in-depth study of the existing literature on benchmarks for graph data management and processing, covering 20 different benchmarks developed during the last 15 years.  ...  graph stream processing as well as graph based machine learning, iii) benchmarks tend to use conventional metrics despite new meaningful metrics have been around for years, iv) increasing number of big  ...  Angles et al. did one of the significant research in this context which surveyed the graph database models in detail [5] .  ... 
arXiv:2005.12873v4 fatcat:jh3367b4vjaqbgyvaccjnxqjfi

IoT Big-Data Centred Knowledge Granule Analytic and Cluster Framework for BI Applications: A Case Base Analysis

Hsien-Tsung Chang, Nilamadhab Mishra, Chung-Chih Lin, Yong Deng
2015 PLoS ONE  
The objective of the present work is to inspect the structural analysis and clustering of complex knowledge granules in an IoT big-data environment.  ...  The analysis and discussion presented here show that the proposed framework and mechanism can be implemented to extract knowledge granules from an IoT big-data array in such a way as to present knowledge  ...  Performed the experiments: NM CCL HTC. Analyzed the data: NM CCL HTC. Contributed reagents/materials/analysis tools: NM CCL HTC. Wrote the paper: NM CCL HTC.  ... 
doi:10.1371/journal.pone.0141980 pmid:26600156 pmcid:PMC4657997 fatcat:urz3w5eperds5m3k55weszxacu

Developments in computational intelligence and machine learning

Michael Biehl, Alessandro Ghio, Frank-Michael Schleif
2015 Neurocomputing  
Verleysen for his support with respect to this special issue and, most importantly, for organizing the outstanding series of ESANN conferences, which enjoys an ever-increasing recognition under his leadership  ...  The support by Elsevier as a publisher is greatly acknowledged, in particular we would like to express thanks to Chandini Emmanuel and Vera Kamphuis from the Elsevier editorial office. We thank Prof.  ...  To avoid the negative effects of distance concentration, the previously suggested use of fractional norms is studied by the authors in an empirical analysis.  ... 
doi:10.1016/j.neucom.2015.03.062 fatcat:22634p5p3vbunf2qo2cm4k2nvi

Why High-Performance Modelling and Simulation for Big Data Applications Matters [chapter]

Clemens Grelck, Ewa Niewiadomska-Szynkiewicz, Marco Aldinucci, Andrea Bracciali, Elisabeth Larsson
2019 Msphere  
Moreover, we provide an overview on the state of the art in the various research areas concerned.  ...  Modelling and Simulation (M&S) offer adequate abstractions to manage the complexity of analysing big data in scientific and engineering domains.  ...  We would like to thank all members of the COST Action for their direct or indirect contributions to this work and the success of the COST Action in general. We  ... 
doi:10.1007/978-3-030-16272-6_1 fatcat:3zyj3266mzhffeic5rlqqe7mx4

Research themes in big data analytics for policymaking: Insights from a mixed‐methods systematic literature review

Arho Suominen, Arash Hajikhani
2021 Policy & Internet  
The use of big data and data analytics are slowly emerging in public policy-making, and there are calls for systematic reviews and research agendas focusing on the impacts that big data and analytics have  ...  This paper examines the nascent field of big data and data analytics in public policy by reviewing the literature with bibliometric and qualitative analyses.  ...  Table 4 highlights that the majority of the articles are narratives and not based on an empirical setting, framework, or variables.  ... 
doi:10.1002/poi3.258 fatcat:i5vizgzcgvhrpiemf6wn24lwaq

Networking of Theories in the Tradition of TME [chapter]

Angelika Bikner-Ahsbahs
2016 ICME-13 Topical Surveys  
Since all three theories share an epistemological sensitivity, the comparison of the three relevant concepts, context in AiC, milieu in TDS and dialectic media-milieu in ATD, was related to the epistemological  ...  In their example, a student explored the graph of the exponential function and how it develops for big x towards infinity.  ... 
doi:10.1007/978-3-319-42589-4_5 fatcat:khzxvf7i7rbkhgkp3qi4rfhw2m

Guiding Software Developers by Social Networking Application Plug-in using the Multiple Bridge Source Repository through a Data Mining Integrated Approach [article]

Anjela Diana Corraya, Mousumi Akter Sumi, Sadia Islam Shachi, Ziaur Rahman
2020 arXiv   pre-print
In today's world, social networking is an important (power full) medium of mass communication.  ...  In our work, we have proposed a framework and model to help those apps developers through a user assistance plug-in tool that is able to provide identical API usage patterns and sequences in response to  ...  Result Analysis of Empirical Study results using graph. From the above graph we can say that SNAP system faces less difficulty  ... 
arXiv:2006.13493v1 fatcat:rhasg3mxuveuxazheqvijs7wvi

Special Issue on "Algorithm Engineering: Towards Practically Efficient Solutions to Combinatorial Problems"

Mattia D'Emidio, Daniele Frigioni
2019 Algorithms  
In this regard, we solicited contributions from all most prominent areas of applied algorithmic research, which include but are not limited to graphs, databases, computational geometry, big data, networking  ...  The purpose of this special issue of Algorithms was to attract papers presenting original research in the area of algorithm engineering.  ...  staff of the MDPI journal Algorithms for their assistance in the timely management of the review process and for their continuous support.  ... 
doi:10.3390/a12110229 fatcat:gf7jx6brtzdcjarzxm5zw4leqe

Demystifying Prescriptive Analytics Frameworks and Techniques

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
The prescriptive analytics is a later stage of the Big data analytics which is not just anticipating what the event will happen as in the predictive analytics but also suggests the decision options and  ...  The paper discusses the techniques and methods, frameworks, and domain applications of prescriptive analytics.  ...  The 5W1H framework approaches the context of prescriptive analytics with six basic questions such as what, when, where, who, why, and how [14] .  ... 
doi:10.35940/ijitee.f4546.049620 fatcat:aage3lyfdfc3pfrhmtpv63ciha
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