↓ Skip to main content

Reconstruction of a Real World Social Network using the Potts Model and Loopy Belief Propagation

Overview of attention for article published in Frontiers in Psychology, November 2015
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
20 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Reconstruction of a Real World Social Network using the Potts Model and Loopy Belief Propagation
Published in
Frontiers in Psychology, November 2015
DOI 10.3389/fpsyg.2015.01698
Pubmed ID
Authors

Cristian Bisconti, Angelo Corallo, Laura Fortunato, Antonio A. Gentile, Andrea Massafra, Piergiuseppe Pellè

Abstract

The scope of this paper is to test the adoption of a statistical model derived from Condensed Matter Physics, for the reconstruction of the structure of a social network. The inverse Potts model, traditionally applied to recursive observations of quantum states in an ensemble of particles, is here addressed to observations of the members' states in an organization and their (anti)correlations, thus inferring interactions as links among the members. Adopting proper (Bethe) approximations, such an inverse problem is showed to be tractable. Within an operational framework, this network-reconstruction method is tested for a small real-world social network, the Italian parliament. In this study case, it is easy to track statuses of the parliament members, using (co)sponsorships of law proposals as the initial dataset. In previous studies of similar activity-based networks, the graph structure was inferred directly from activity co-occurrences: here we compare our statistical reconstruction with such standard methods, outlining discrepancies and advantages.

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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 20%
Other 3 15%
Student > Ph. D. Student 3 15%
Student > Master 3 15%
Student > Bachelor 1 5%
Other 4 20%
Unknown 2 10%
Readers by discipline Count As %
Physics and Astronomy 3 15%
Neuroscience 3 15%
Psychology 2 10%
Agricultural and Biological Sciences 1 5%
Computer Science 1 5%
Other 9 45%
Unknown 1 5%
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 10 November 2015.
All research outputs
#13,037,417
of 23,508,125 outputs
Outputs from Frontiers in Psychology
#11,657
of 31,332 outputs
Outputs of similar age
#124,701
of 286,353 outputs
Outputs of similar age from Frontiers in Psychology
#209
of 493 outputs
Altmetric has tracked 23,508,125 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,332 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has gotten more attention than average, scoring higher than 62% 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 286,353 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 493 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 57% of its contemporaries.