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dc.contributor.author
Apostolopoulou, Maria
en
dc.date.accessioned
2019-04-02T14:00:12Z
dc.date.available
2019-04-04T00:00:18Z
dc.date.issued
2019-04-02
dc.identifier.uri
https://repository.ihu.edu.gr//xmlui/handle/11544/29288
dc.rights
Default License
dc.subject
Web-analytics
en
dc.subject
On-line visibility
en
dc.subject
Digital communities
en
dc.title
Analytics-based web-visibility optimization in the Science and Engineering Sector: The Chua Memristor Center
en
heal.type
masterThesis
en_US
heal.secondaryTitle
The Chua Memristor Center
en
heal.language
en
en_US
heal.access
free
en_US
heal.license
http://creativecommons.org/licenses/by-nc/4.0
en_US
heal.recordProvider
School of Science and Technology, MSc in e-Business and Digital Marketing
en_US
heal.publicationDate
2019-04-02
heal.abstract
This dissertation was written as a part of the MSc E-business and Digital Marketing at the International Hellenic University. As the world is moving towards digital communities, both industry and academia are increasingly interested in on-line visibility. Chua Memristor Center is a research or-ganization that designs and manufactures memristor circuits and systems extending or improving the functionalities of state-of-the-art electronic computing systems. On-line visibility gives such organizations new opportunities of combining expertise and re-sources from various fields of research which in turn can bring scientific advancement. Benefits of on-line visibility come along with new challenges and questions. How do we achieve it? How do we measure it? In this study we investigate the radical changes that social media bring in the way academic organizations pursue on-line visibility and we explain how web analytic tools can be used to measure and better understand on-line visibility of the Chua Memristor Center. A huge thank you to my supervisor, for the guidance, to COST Action IC1401: Memris-tors-Devices, Models, Circuits, Systems and Applications (MemoCIS) for the chance to travel to Dresden to present our work, to Karelia Foundation for the scholarship that made my dream to study Digital Marketing possible, to my parents and my partner in life for their support and understanding.
en
heal.tableOfContents
Contents ABSTRACT III CONTENTS V 1 INTRODUCTION 1 2 LITERATURE REVIEW 5 1.1 RESEARCH QUESTIONS 5 1.2 SOCIAL BENEFITS 6 1.3 COLLABORATION AND COMMUNICATION 7 1.4 FACILITATING RESEARCH 7 1.5 FACILITATING DISSEMINATION 7 1.6 PROMOTING PUBLICATIONS 8 1.7 FUNDING OPPORTUNITIES 9 1.8 CATEGORIES OF SOCIAL MEDIA USED BY ACADEMIA 9 1.9 SOCIAL RECOMMENDING, RATING, AND REVIEWING. 10 1.10 SOCIAL BOOKMARKING AND REFERENCE MANAGEMENT 11 1.11 MENDELEY 12 1.12 BLOG 12 1.13 MICROBLOGGING 13 1.14 VIDEO 14 1.15 CHALLENGES 15 1.16 WEB ANALYTICS USED IN ACADEMIC WEBSITES 15 1.17 WHY SHOULD RESEARCH INSTITUTIONS CARE ABOUT WEB ANALYTICS? 15 1.18 WHAT TOOLS SHOULD THEY USE? 15 1.19 WHAT IS THE PROCESS OF THE ANALYSIS? 17 1.20 WHAT METRICS ARE APPROPRIATE? 17 2 CLICKSTREAM ANALYSIS 19 2.1 PRIMITIVE INDICATORS 19 2.2 VISITOR ACQUISITION REPORT 21 2.3 RECOMMENDING THE FIRST AMENDMENTS 24 2.4 MEASURING SUCCESS 25 2.5 VISITOR LOYALTY 28 2.6 VISITOR RECENCY 29 2.7 LENGTH OF VISIT 30 2.8 DEPTH OF VISIT 32 2.9 SOURCES / OUTCOMES REPORT 33 2.10 SEGMENTING 35 2.11 INTERNAL SITE SEARCH ANALYSIS 37 2.12 SEARCH ENGINE OPTIMIZATION (SEO) ANALYSIS 37 2.13 KEYWORD PERFORMANCE: SEARCH ENGINE RESULTS 41 2.14 DIRECT TRAFFIC ANALYSIS 42 2.15 RICH EXPERIENCE ANALYSIS 44 2.16 BENCHMARKS 49 2.17 COHORT ANALYSIS 50 2.18 SESSION CONFIGURATION 51 2.19 FILTERS 51 3 SEO ANALYSIS 53 3.1 SEO RESULTS 53 3.2 PERFORMANCE RESULTS 55 3.3 SOCIAL RESULTS 56 3.4 SECURITY RESULTS 56 4 RECOMMENDATIONS 59 4.1 SEO RECOMMENDATIONS 59 4.2 SOCIAL MEDIA RECOMMENDATIONS 60 5 PRESENTATION AT IC1401 - MEMRISTORS - DEVICES, MODELS, CIRCUITS, SYSTEMS AND APPLICATIONS (MEMOCIS) 63 6 CONCLUSIONS 65 BIBLIOGRAPHY 67
en
heal.advisorName
Stavrinides, Stavros
en
heal.committeeMemberName
Peristeras, Vassilios
en
heal.committeeMemberName
Baltatzis, Dimitrios
en
heal.academicPublisher
IHU
en
heal.academicPublisherID
ihu
en_US


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