![Page 1: The influence of social status on consensus building in collaboration networks](https://reader031.vdocument.in/reader031/viewer/2022030309/58f2c7a01a28ab417a8b463f/html5/thumbnails/1.jpg)
http://Learning-Layers-euhttp://Learning-Layers-eu
Learning LayersScaling up Technologies for Informal Learning in SME Clusters
The Influence of Social Status on Consensus Building in Collaboration
Networks
Ilire Hasani-Mavriqi, Florian Geigl, Subhash Chandra Pujari, Elisabeth Lex, Denis Helic
1
Austrian Science Fund: P 24866-N15
![Page 2: The influence of social status on consensus building in collaboration networks](https://reader031.vdocument.in/reader031/viewer/2022030309/58f2c7a01a28ab417a8b463f/html5/thumbnails/2.jpg)
http://Learning-Layers-eu
• We tend to create connections and interact with people who have a high social status in our community
• Our behaviour, our opinions are often influenced by actions of such people
• Example: university class – a mentor influences opinions of her student during consensus building
Social Status
2
![Page 3: The influence of social status on consensus building in collaboration networks](https://reader031.vdocument.in/reader031/viewer/2022030309/58f2c7a01a28ab417a8b463f/html5/thumbnails/3.jpg)
http://Learning-Layers-eu
Social Status and Consensus Building
• Influence of social status on opinion dynamics is moving from offline to online
• Focus:
– Investigate the influence of social status on dynamical processes that take place in collaboration networks
– Study the interplay between structure, dynamics and exogenous node characteristics and how these complex interactions influence the process of consensus building
3
![Page 4: The influence of social status on consensus building in collaboration networks](https://reader031.vdocument.in/reader031/viewer/2022030309/58f2c7a01a28ab417a8b463f/html5/thumbnails/4.jpg)
http://Learning-Layers-eu
Contributions
• Methodologically
– Naming Game (statistical physics) is extended with the Probabilistic Meeting Rule
– Individual differences between nodes in the network are considered
– Through parametrization, explore the emergence and disappearance of social classes in collaboration networks
• Empirically
– Simulate peer interactions in empirical datasets (StackExchange Q&A sites), assuming that the status theory holds and observe the consequences
4
![Page 5: The influence of social status on consensus building in collaboration networks](https://reader031.vdocument.in/reader031/viewer/2022030309/58f2c7a01a28ab417a8b463f/html5/thumbnails/5.jpg)
http://Learning-Layers-eu 5
Naming Game Meeting
![Page 6: The influence of social status on consensus building in collaboration networks](https://reader031.vdocument.in/reader031/viewer/2022030309/58f2c7a01a28ab417a8b463f/html5/thumbnails/6.jpg)
http://Learning-Layers-eu 6
![Page 7: The influence of social status on consensus building in collaboration networks](https://reader031.vdocument.in/reader031/viewer/2022030309/58f2c7a01a28ab417a8b463f/html5/thumbnails/7.jpg)
http://Learning-Layers-eu
Probabilistic Meeting Rule Equation
psl = min (1, e β(ss – sl))
ss – speaker‘s status
sl – listener‘s status
β ≥ 0 – stratification factor (tuning parameter)
7
![Page 8: The influence of social status on consensus building in collaboration networks](https://reader031.vdocument.in/reader031/viewer/2022030309/58f2c7a01a28ab417a8b463f/html5/thumbnails/8.jpg)
http://Learning-Layers-eu
The emergence of social classes based on the stratification factor β
8
β = 0, psl is always 1 -> egalitarian society
β = 0.0001, psl decays [0,1] –> ranked society
β = 1, psl is 0 –> stratified society
![Page 9: The influence of social status on consensus building in collaboration networks](https://reader031.vdocument.in/reader031/viewer/2022030309/58f2c7a01a28ab417a8b463f/html5/thumbnails/9.jpg)
http://Learning-Layers-eu
Datasets
9
• Datasets from Q&A site StackExchange
• Reputation scores – proxy for social status
• 6 language datasets
#nodes (n), #edges(m), mean (µ), median (µ1/2), standard deviation (σ) of the reputation scores, assortativity coefficient (r)
and modularity (Q)
![Page 10: The influence of social status on consensus building in collaboration networks](https://reader031.vdocument.in/reader031/viewer/2022030309/58f2c7a01a28ab417a8b463f/html5/thumbnails/10.jpg)
http://Learning-Layers-eu
Datasets – distribution of reputation scores
10
![Page 11: The influence of social status on consensus building in collaboration networks](https://reader031.vdocument.in/reader031/viewer/2022030309/58f2c7a01a28ab417a8b463f/html5/thumbnails/11.jpg)
http://Learning-Layers-eu
Simulations
• The simulation framework is provided as an open source project [1]
• 2 m interactions for the English network, 1 m for other networks
• Investigate various values of the stratification factor β for all networks
• Store the appearance of agents as listeners/speakers, their participation in overall interactions versus successful meetings and the evolution of the agent’s inventory size
• Each agent’s inventory is initialized with a fixed number of three opinions (numbers from 0 to 99)
• These opinions are selected uniformly at random from a bag of opinions to ensure that each opinion occurs with the same probability
[1] https://github.com/floriangeigl/reputation networks
11
![Page 12: The influence of social status on consensus building in collaboration networks](https://reader031.vdocument.in/reader031/viewer/2022030309/58f2c7a01a28ab417a8b463f/html5/thumbnails/12.jpg)
http://Learning-Layers-eu
Results
12
Highest convergence rate for 0.0001 < β < 0.0002
![Page 13: The influence of social status on consensus building in collaboration networks](https://reader031.vdocument.in/reader031/viewer/2022030309/58f2c7a01a28ab417a8b463f/html5/thumbnails/13.jpg)
http://Learning-Layers-eu 13
![Page 14: The influence of social status on consensus building in collaboration networks](https://reader031.vdocument.in/reader031/viewer/2022030309/58f2c7a01a28ab417a8b463f/html5/thumbnails/14.jpg)
http://Learning-Layers-eu
Results
14
![Page 15: The influence of social status on consensus building in collaboration networks](https://reader031.vdocument.in/reader031/viewer/2022030309/58f2c7a01a28ab417a8b463f/html5/thumbnails/15.jpg)
http://Learning-Layers-eu 15
![Page 16: The influence of social status on consensus building in collaboration networks](https://reader031.vdocument.in/reader031/viewer/2022030309/58f2c7a01a28ab417a8b463f/html5/thumbnails/16.jpg)
http://Learning-Layers-eu
Take Away Messages
• Social status strongly influences the opinion dynamics in a complex and intricate way
• Weakly stratified societies reach consensus at the highest convergence rate, whereas completely stratified societies do not reach consensus at all
• The most important issue in this process is related to low status agents and how their communication is controlled
16
![Page 17: The influence of social status on consensus building in collaboration networks](https://reader031.vdocument.in/reader031/viewer/2022030309/58f2c7a01a28ab417a8b463f/html5/thumbnails/17.jpg)
http://Learning-Layers-eu
Future Work
• Engineering consensus building
• Investigate how status and/or network structure can be adjusted to support the process
• Datasets with the strong communities where the consensus reaching is prohibited
17
![Page 18: The influence of social status on consensus building in collaboration networks](https://reader031.vdocument.in/reader031/viewer/2022030309/58f2c7a01a28ab417a8b463f/html5/thumbnails/18.jpg)
http://Learning-Layers-eu
Thank you for your attention!
Questions?
Ilire Hasani-Mavriqi
Knowledge Technologies Institute, KTI
Graz University of Technology
Social Computing Team, Know-Center (Austria)
18