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Business and Consumer Analytics: New Ideas

Overview of attention for book
Cover of 'Business and Consumer Analytics: New Ideas'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Marketing Meets Data Science: Bridging the Gap
  3. Altmetric Badge
    Chapter 2 Consumer Behaviour and Marketing Fundamentals for Business Data Analytics
  4. Altmetric Badge
    Chapter 4 An Introduction to Proximity Graphs
  5. Altmetric Badge
    Chapter 5 Clustering Consumers and Cluster-Specific Behavioural Models
  6. Altmetric Badge
    Chapter 6 Frequent Itemset Mining
  7. Altmetric Badge
    Chapter 8 Centrality in Networks: Finding the Most Important Nodes
  8. Altmetric Badge
    Chapter 9 Overlapping Communities in Co-purchasing and Social Interaction Graphs: A Memetic Approach
  9. Altmetric Badge
    Chapter 10 Taming a Graph Hairball: Local Exploration in a Global Context
  10. Altmetric Badge
    Chapter 11 Network-Based Models for Social Recommender Systems
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    Chapter 12 Using Network Alignment to Identify Conserved Consumer Behaviour Modelling Constructs
  12. Altmetric Badge
    Chapter 13 Memetic Algorithms for Business Analytics and Data Science: A Brief Survey
  13. Altmetric Badge
    Chapter 14 A Memetic Algorithm for the Team Orienteering Problem
  14. Altmetric Badge
    Chapter 15 A Memetic Algorithm for Competitive Facility Location Problems
  15. Altmetric Badge
    Chapter 16 Visualizing Products and Consumers: A Gestalt Theory Inspired Method
  16. Altmetric Badge
    Chapter 17 An Overview of Meta-Analytics: The Promise of Unifying Metaheuristics and Analytics
  17. Altmetric Badge
    Chapter 18 From Ensemble Learning to Meta-Analytics: A Review on Trends in Business Applications
  18. Altmetric Badge
    Chapter 19 Metaheuristics and Classifier Ensembles
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    Chapter 20 A Multi-objective Meta-Analytic Method for Customer Churn Prediction
  20. Altmetric Badge
    Chapter 21 Hotel Classification Using Meta-Analytics: A Case Study with Cohesive Clustering
  21. Altmetric Badge
    Chapter 23 Towards Personalized Data-Driven Bundle Design with QoS Constraint
  22. Altmetric Badge
    Chapter 25 New Ideas in Ranking for Personalized Fashion Recommender Systems
  23. Altmetric Badge
    Chapter 26 Datasets for Business and Consumer Analytics
Attention for Chapter 11: Network-Based Models for Social Recommender Systems
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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6 X users

Citations

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Readers on

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Chapter title
Network-Based Models for Social Recommender Systems
Chapter number 11
Book title
Business and Consumer Analytics: New Ideas
Published in
arXiv, May 2019
DOI 10.1007/978-3-030-06222-4_11
Book ISBNs
978-3-03-006221-7, 978-3-03-006222-4
Authors

Antonia Godoy-Lorite, Roger Guimerà, Marta Sales-Pardo, Roger Guimera, Godoy-Lorite, Antonia, Guimerà, Roger, Sales-Pardo, Marta, Godoy-Lorite, A, Guimerà, R, Sales-Pardo, M

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 50%
Student > Bachelor 1 10%
Researcher 1 10%
Student > Doctoral Student 1 10%
Unknown 2 20%
Readers by discipline Count As %
Computer Science 4 40%
Physics and Astronomy 3 30%
Agricultural and Biological Sciences 1 10%
Unknown 2 20%
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 13 July 2022.
All research outputs
#14,345,282
of 24,093,053 outputs
Outputs from arXiv
#237,404
of 1,020,419 outputs
Outputs of similar age
#178,595
of 353,548 outputs
Outputs of similar age from arXiv
#7,322
of 28,194 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 74% 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 353,548 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28,194 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 72% of its contemporaries.