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Graph Transformations

Overview of attention for book
Cover of 'Graph Transformations'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Graph-Based Design Framework for Services
  3. Altmetric Badge
    Chapter 2 Evolutionary Togetherness: How to Manage Coupled Evolution in Metamodeling Ecosystems
  4. Altmetric Badge
    Chapter 3 Completeness-Driven Development
  5. Altmetric Badge
    Chapter 4 Exploiting Over- and Under-Approximations for Infinite-State Counterpart Models
  6. Altmetric Badge
    Chapter 5 Pattern-Based Graph Abstraction
  7. Altmetric Badge
    Chapter 6 Well-Structured Graph Transformation Systems with Negative Application Conditions
  8. Altmetric Badge
    Chapter 7 Parallelism and Concurrency of Stochastic Graph Transformations
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    Chapter 8 Refined Graph Rewriting in Span-Categories
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    Chapter 9 Borrowed Contexts for Attributed Graphs
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    Chapter 10 Toward Bridging the Gap between Formal Foundations and Current Practice for Triple Graph Grammars
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    Chapter 11 Graph Transformation with Focus on Incident Edges
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    Chapter 12 Rational Term Rewriting Revisited: Decidability and Confluence
  14. Altmetric Badge
    Chapter 13 A General Attribution Concept for Models in ${\cal M}$ -Adhesive Transformation Systems
  15. Altmetric Badge
    Chapter 14 DPO Transformation with Open Maps
  16. Altmetric Badge
    Chapter 15 $\mathcal M, \mathcal N$ -Adhesive Transformation Systems
  17. Altmetric Badge
    Chapter 16 Generalised Compositionality in Graph Transformation
  18. Altmetric Badge
    Chapter 17 Towards Automatic Verification of Behavior Preservation for Model Transformation via Invariant Checking
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    Chapter 18 Efficient Symbolic Implementation of Graph Automata with Applications to Invariant Checking
  20. Altmetric Badge
    Chapter 19 Testing against Visual Contracts: Model-Based Coverage
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    Chapter 20 A Truly Concurrent Semantics for the $\mathbb{K}$ Framework Based on Graph Transformations
  22. Altmetric Badge
    Chapter 21 Probabilistic Graph Transformation Systems
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    Chapter 22 Co-transformation of Graphs and Type Graphs with Application to Model Co-evolution
  24. Altmetric Badge
    Chapter 23 Graph Transformations for Evolving Domain Knowledge
  25. Altmetric Badge
    Chapter 24 Construction of Integrity Preserving Triple Graph Grammars
  26. Altmetric Badge
    Chapter 25 Applying Incremental Graph Transformation to Existing Models in Relational Databases
  27. Altmetric Badge
    Chapter 26 Incremental Pattern Matching for the Efficient Computation of Transitive Closure
  28. Altmetric Badge
    Chapter 27 Efficient Model Synchronization with Precedence Triple Graph Grammars
  29. Altmetric Badge
    Chapter 28 ICGT 2012 Doctoral Symposium
  30. Altmetric Badge
    Chapter 29 Multi-scale Rule-Based Graph Transformation Using the Programming Language XL
  31. Altmetric Badge
    Chapter 30 Verification of Graph Programs
  32. Altmetric Badge
    Chapter 31 Specification and Verification of Modal Properties for Structured Systems
Attention for Chapter 2: Evolutionary Togetherness: How to Manage Coupled Evolution in Metamodeling Ecosystems
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  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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Chapter title
Evolutionary Togetherness: How to Manage Coupled Evolution in Metamodeling Ecosystems
Chapter number 2
Book title
Graph Transformations
Published in
Lecture notes in computer science, January 2012
DOI 10.1007/978-3-642-33654-6_2
Book ISBNs
978-3-64-233653-9, 978-3-64-233654-6
Authors

Davide Di Ruscio, Ludovico Iovino, Alfonso Pierantonio

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 31%
Researcher 4 25%
Student > Master 2 13%
Lecturer 1 6%
Professor 1 6%
Other 3 19%
Readers by discipline Count As %
Computer Science 14 88%
Engineering 2 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 September 2012.
All research outputs
#13,020,322
of 22,678,224 outputs
Outputs from Lecture notes in computer science
#3,904
of 8,122 outputs
Outputs of similar age
#144,443
of 244,101 outputs
Outputs of similar age from Lecture notes in computer science
#202
of 490 outputs
Altmetric has tracked 22,678,224 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,122 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 51% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 244,101 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 490 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.