Download Fundamentals of Big Data Network Analysis for Research and by Hyunjoung Lee, Il Sohn PDF

By Hyunjoung Lee, Il Sohn

Fundamentals of huge info community research for learn and Industry

Hyunjoung Lee, Institute of eco-friendly know-how, Yonsei collage, Republic of Korea

Il Sohn, Material technology and Engineering, Yonsei collage, Republic of Korea


Presents the technique of massive facts research utilizing examples from learn and industry

There are quite a lot of information in all places, and the facility to select the most important details is more and more very important. opposite to well known trust, now not all info turns out to be useful; mammoth information community research assumes that facts isn't just huge, but additionally significant, and this e-book makes a speciality of the elemental suggestions required to extract crucial details from monstrous datasets.

Featuring case reports drawn mostly from the iron and metal industries, this ebook deals functional assistance in order to let readers to simply comprehend titanic information community research. specific cognizance is paid to the technique of community research, delivering details at the approach to info assortment, on study layout and research, and at the interpretation of results.  various courses together with UCINET, NetMiner, R, NodeXL, and Gephi for community research are lined in detail.

Fundamentals of massive facts community Analysis for learn and Industry appears to be like at monstrous facts from a clean standpoint, and offers a brand new method of facts analysis.


This book:

  • Explains the fundamental ideas in realizing gigantic facts and filtering significant data
  • Presents titanic info research in the networking perspective
  • Features technique acceptable to investigate and industry
  • Describes intimately the social dating among sizeable info and its implications
  • Provides perception into settling on styles and relationships among doubtless unrelated significant data



Fundamentals of huge facts community Analysis for study and Industry will end up a worthwhile source for analysts, learn engineers, business engineers, advertising and marketing execs, and any contributors facing collected huge info whose curiosity is to investigate and establish capability relationships between information sets.


Show description

Read or Download Fundamentals of Big Data Network Analysis for Research and Industry PDF

Similar database storage & design books

Expert One-on-One: Microsoft Access Application Development

This booklet teaches builders top practices for development potent functions utilizing Microsoft entry. It offers hundreds and hundreds of suggestions, tips, and methods for gaining knowledge of entry improvement, and covers all models from entry 2000 to the 2003 liberate.

New Perspectives on Microsoft Access 2013, Introductory

With confirmed pedagogy that emphasizes critical-thinking, problem-solving, and in-depth assurance, New views is helping scholars strengthen the Microsoft place of work 2013 abilities they should prevail in collage and past. up-to-date with all new case-based tutorials, New views Microsoft entry 2013 maintains to interact scholars in utilizing abilities to real-world events, making ideas correct.

R Recipes A Problem-Solution Approach

R Recipes is your convenient problem-solution reference for studying and utilizing the preferred R programming language for information and different numerical research. choked with hundreds and hundreds of code and visible recipes, this booklet allows you to quick study the basics and discover the frontiers of programming, studying and utilizing R.

RDF Database Systems: Triples Storage and SPARQL Query Processing

RDF Database platforms is a state-of-the-art advisor that distills every little thing you want to be aware of to successfully use or layout an RDF database. This booklet begins with the fundamentals of associated open facts and covers the newest examine, perform, and applied sciences that will help you leverage semantic know-how. With an procedure that mixes technical element with theoretical historical past, this booklet indicates how one can layout and advance semantic internet functions, info versions, indexing and question processing recommendations.

Extra info for Fundamentals of Big Data Network Analysis for Research and Industry

Sample text

2016 John Wiley & Sons, Ltd. Published 2016 by John Wiley & Sons, Ltd. 36 Fundamentals of Big Data Network Analysis depending on the relevant subject and context. For example, role relationships are exhibited by exporting and importing countries, manufacturing companies and companies supplying raw materials, and by students and teachers. There are also cognitive or emotional relationships that are established on the basis of factors such as acknowledgement, friendship, respect, and exclusivity.

International AAAI Conference on Weblogs and Social Media. , Shneiderman, B. et al. (2010) NodeXL: A Free and Open Network Overview, Discovery and Exploration Add‐In for Excel 2007/2010, http://nodexl. org (accessed 22 May 2015). 3 Understanding Network Analysis While existing research is based on an actors’ independence, network analysis assumes that the actors are interdependent. Based on that assumption, network analysis aims to quantitatively measure regular patterns. Network analysis assumes that the actions of actors are not independent or autonomous, but interdependent, where the relationship among the actors works as a conduit for flow or transfer of (material or immaterial) resources.

Unlike in the past, the data have become more robust, quickly produced, and accumulated to allow a different dimension on increasing productivity. Through real‐time data p­roduction and acquisition from various sensors, much more detailed and micro forecasting and control are possible, allowing precise management. For example, there is a bullwhip effect in SCM (supply chain management). Incorrectly assessing the supply of raw materials results in a greater error in production output forecasting at the next step of the supply chain, resulting in an increased gap between actual sales amounts.

Download PDF sample

Rated 4.95 of 5 – based on 38 votes