PageRank model of opinion formation on social networks

  title={PageRank model of opinion formation on social networks},
  author={Vivek Kandiah and Dima L. Shepelyansky},

Figures from this paper

Centrality-Based Opinion Modeling on Temporal Networks

The impact of various centrality measures on model behavior is investigated and new results using Directed Degree centrality and Closeness Centrality are derived to better understand the impact of the weighting parameter on the model convergence.

Opinion Leader Detection in Online Social Networks Based on Output and Input Links

Experiments on real-world data demonstrate that the proposed algorithm for finding a small subset of nodes in a social network that can have a significant impact on the opinions of other nodes outperforms previously published state-of-the-art methods.

Centrality-Weighted Opinion Dynamics: Disagreement and Social Network Partition

  • Shuang Gao
  • Computer Science
    2021 60th IEEE Conference on Decision and Control (CDC)
  • 2021
Following a degree-centrality-weighted opinion dynamics model, an algorithm to partition nodes of any graph into two and multiple clusters based on opinion disagreements is provided and properties of general centrality- Weighted Opinion dynamics model are established.

Opinion evolution in society with stubborn agents using Temporal Model for Opinion and Triad Network Formation (TMOTNF)

Co-evolving Temporal Model for Opinion and Triad Network Formation is modelled to evaluate the opinion convergence and analysed how some fully stubborn agents are chosen in the network to affect opinion evolution, framing society’s opinion.

A Review on Social Opinion Dynamics Models

This paper presents a review on opinion dynamics models along with its applications and results into a growing interest of use social networking sites, social networks for reorganization and prediction of opinions, as well as to understand the dynamics of opinions.

TTPROF: A Weighted Threshold Model for Studying Opinion Dynamics in Directed Temporal Network

A directed and weighted Temporal Threshold Page Rank Opinion Formation (TTPROF) model, for studying the opinion dynamics using temporal networks, which shows that as the threshold value or the fraction of top ranked nodes increases, opinions start converging faster and consensus is achieved sooner.

Detection of Opinion Leaders in Social Networks Using Entropy Weight Method for Multi-attribute Analysis

A new opinion leaders detection algorithm, called MAA algorithm, is proposed, which uses Entropy Weight Method to comprehensively multiple attributes analysis including location attributes, distance attributes, and strength entropy.



Opinion formation on adaptive networks with intensive average degree.

Using simulations and analytic arguments, this work determines the final steady states and the relaxation into these states for different system sizes, and finds two absorbing states and one metastable state, characterized by a population split evenly between the two opinions.

Universal emergence of PageRank

Using extensive numerical simulations of large web networks, with a special accent on British University networks, this work determines numerically and analytically the universal features of the PageRank vector at its emergence when α → 1.

What is Twitter, a social network or a news media?

This work is the first quantitative study on the entire Twittersphere and information diffusion on it and finds a non-power-law follower distribution, a short effective diameter, and low reciprocity, which all mark a deviation from known characteristics of human social networks.

Google matrix analysis of directed networks

This review describes the Google matrix analysis of directed complex networks demonstrating its efficiency on various examples including World Wide Web, Wikipedia, software architecture, world trade, social and citation networks, brain neural networks, DNA sequences and Ulam networks.

Toward two-dimensional search engines

The statistical properties of information flow on the PageRank–CheiRank plane are analyzed for networks of British, French and Italian universities, Wikipedia, Linux Kernel, gene regulation and other networks and methods of spam links control are analyzed.

Influentials, Networks, and Public Opinion Formation

A central idea in marketing and diffusion research is that influentials—a minority of individuals who influence an exceptional number of their peers—are important to the formation of public opinion.

Diffusion of scientific credits and the ranking of scientists

This work takes advantage of the entire Physical Review publication archive to construct authors' networks where weighted edges, as measured from opportunely normalized citation counts, define a proxy for the mechanism of scientific credit transfer.

Signed networks in social media

This work provides one of the first large-scale evaluations of theories of signed networks using on-line datasets, as well as providing a perspective for reasoning about social media sites.