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Advances in Artificial Intelligence - SBIA 2012

Overview of attention for book
Cover of 'Advances in Artificial Intelligence - SBIA 2012'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 On the Development of a Formal Methodology for Knowledge Representation in Defeasible Logic Programming
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    Chapter 2 A Framework for Empirical Evaluation of Belief Change Operators
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    Chapter 3 Sensorimotor Domain Approach for Artificial Autonomous Cognitive Development
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    Chapter 4 A Service-Oriented Architecture for Assisting the Authoring of Semantic Crowd Maps
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    Chapter 5 User-Centric Principles in Automated Decision Making
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    Chapter 6 Wearable Computing: Accelerometers’ Data Classification of Body Postures and Movements
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    Chapter 7 Density-Based Pattern Discovery in Distributed Time Series
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    Chapter 8 Filter Approach Feature Selection Methods to Support Multi-label Learning Based on ReliefF and Information Gain
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    Chapter 9 Automatic Analysis of Leishmania Infected Microscopy Images via Gaussian Mixture Models
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    Chapter 10 Link Prediction in Complex Networks Based on Cluster Information
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    Chapter 11 A Parallel Approach to Clustering with Ant Colony Optimization
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    Chapter 12 On the Use of Consensus Clustering for Incremental Learning of Topic Hierarchies
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    Chapter 13 Image Retrieval by Content Based on a Visual Attention Model and Genetic Algorithms
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    Chapter 14 A Symbolic Representation Method to Preserve the Characteristic Slope of Time Series
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    Chapter 15 Orchestrating Multiagent Learning of Penalty Games
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    Chapter 16 An Architectural Model for Autonomous Normative Agents
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    Chapter 17 A Coalition Formation Mechanism for Trust and Reputation-Aware Multi-Agent Systems
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    Chapter 18 Profile Recommendation in Communities of Practice Based on Multiagent Systems
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    Chapter 19 Knowledge-Intensive Word Disambiguation via Common-Sense and Wikipedia
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    Chapter 20 Context-Sensitive ASR for Controlling the Navigation of Mobile Robots
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    Chapter 21 An Evaluation of the Model of Stigmergy in a RoboCup Rescue Multiagent System
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    Chapter 22 An Ecology-Based Heterogeneous Approach for Cooperative Search
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    Chapter 23 Providing Trade-Off Techniques Subsets to Improve Software Testing Effectiveness: Using Evolutionary Algorithm to Support Software Testing Techniques Selection by a Web Tool
Attention for Chapter 10: Link Prediction in Complex Networks Based on Cluster Information
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

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2 X users

Citations

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Readers on

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22 Mendeley
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Chapter title
Link Prediction in Complex Networks Based on Cluster Information
Chapter number 10
Book title
Advances in Artificial Intelligence - SBIA 2012
Published in
Lecture notes in computer science, October 2012
DOI 10.1007/978-3-642-34459-6_10
Book ISBNs
978-3-64-234458-9, 978-3-64-234459-6
Authors

Alneu de Andrade Lopes, Jorge Carlos Valverde-Rebaza

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
France 1 5%
Unknown 20 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 18%
Professor > Associate Professor 3 14%
Professor 2 9%
Other 2 9%
Student > Postgraduate 2 9%
Other 4 18%
Unknown 5 23%
Readers by discipline Count As %
Computer Science 13 59%
Business, Management and Accounting 1 5%
Physics and Astronomy 1 5%
Engineering 1 5%
Design 1 5%
Other 0 0%
Unknown 5 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 September 2015.
All research outputs
#14,155,634
of 22,685,926 outputs
Outputs from Lecture notes in computer science
#4,303
of 8,122 outputs
Outputs of similar age
#98,980
of 172,124 outputs
Outputs of similar age from Lecture notes in computer science
#32
of 90 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% 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 is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 172,124 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 90 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 64% of its contemporaries.