15th 15th International Conference on Management of Digital EcoSystems

Top Research Topics at Management of Emergent Digital EcoSystems?

• Knowledge management (15.47%)
• World Wide Web (14.15%)
• Artificial intelligence (11.89%)

The conference is mainly concerned with subjects like Knowledge management, World Wide Web, Artificial intelligence, Digital ecosystem and Information retrieval. Knowledge management study tackled is connected to the field of Software. Social media, Web service and Semantic Web are World Wide Web topics of special interest in the conference.

The research on Artificial intelligence tackled can also make contributions to studies in the areas of Machine learning and Natural language processing. Digital ecosystem research discussed connects with the study of Ecosystem.

What are the most cited papers published at the conference?

• Challenges and opportunities with big data visualization (41 citations)
• OptiqueVQS: towards an ontology-based visual query system for big data (39 citations)
• Complex adaptive digital EcoSystems (38 citations)

Research areas of the most cited articles at Management of Emergent Digital EcoSystems:

The published papers mostly deal with topics like Knowledge management, Ecosystem, World Wide Web, Information retrieval and Digital ecosystem. The conference publications explore issues in Knowledge management which can be linked to other research areas like User experience design, Digital preservation and Scope (project management). The conference publications facilitate discussions on Digital ecosystem that incorporate concepts from other fields like Scalability, Evolutionary computation, Exploit, Software engineering and Process ontology.

What topics the last edition of the conference is best known for?

• Artificial intelligence
• Operating system
• The Internet

The previous edition focused in particular on these issues:

Management of Emergent Digital EcoSystems investigates areas of study like Artificial intelligence, Big data, Cloud computing, Data science and Information retrieval. While Artificial intelligence is the focus of Management of Emergent Digital EcoSystems, it also provided insights into the studies of Domain (software engineering), Machine learning, Pattern recognition and Natural language processing. It focuses on Big data but the discussions also offer insight into other areas such as Computer security, Scalability, Software and Use case.

In addition to Scalability research, it aims to explore topics under Container (abstract data type), Virtualization and Digital ecosystem. The subject of Social media, which is connected to the field of Multimedia and Service (systems architecture), serves as the foundation of the Data science research featured in Management of Emergent Digital EcoSystems. The study of Information retrieval encompasses disciplines such as Semantics, as well as fields such as Semantic Web, Relation (database) and Ontology (information science), all of which overlap with one another.

The most cited articles from the last conference are:

• A semantic-based model to represent multimedia big data (15 citations)
• Enhancing Long Term Fairness in Recommendations with Variational Autoencoders (11 citations)
• Factors that Impact Blockchain Scalability (9 citations)

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing at Management of Emergent Digital EcoSystems (based on the number of publications) are:

• Frederic Andres (11 papers) published 1 paper at the last edition,
• Fernando Ferri (7 papers) absent at the last edition,
• Rajeev Agrawal (7 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• Patrizia Grifoni (7 papers) absent at the last edition,
• Yannis Manolopoulos (7 papers) published 2 papers at the last edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing at Management of Emergent Digital EcoSystems (based on the number of publications) are:

• Addis Ababa University (28 papers) published 1 paper at the last edition the same number as at the previous edition,
• University of Lyon (12 papers) absent at the last edition,
• National Institute of Informatics (10 papers) published 1 paper at the last edition,
• University of Milan (9 papers) absent at the last edition,
• Brunel University London (9 papers) published 3 papers at the last edition, 2 more than at the previous edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2017 edition, 9.30% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.08% were posted by at least one author from the top 10 institutions publishing at the conference. Another 15.38% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.26% of all publications and 51.28% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.