Maximizing influence in an unknown social network

B Wilder, N Immorlica, E Rice, M Tambe - Proceedings of the AAAI …, 2018 - ojs.aaai.org
In many real world applications of influence maximization, practitioners intervene in a
population whose social structure is initially unknown. This poses a multiagent systems …

Proxy voting for better outcomes

G Cohensius, S Manor, R Meir, E Meirom… - arXiv preprint arXiv …, 2016 - arxiv.org
We consider a social choice problem where only a small number of people out of a large
population are sufficiently available or motivated to vote. A common solution to increase …

Using social media for biomonitoring: how Facebook, Twitter, Flickr and other social networking platforms can provide large-scale biodiversity data

J Chamberlain - Advances in ecological research, 2018 - Elsevier
In this chapter, social networking platforms are explored to see whether they can be a useful
resource for biomonitoring; more specifically do they contain reliable biodiversity data and to …

[PDF][PDF] Optimal Complex Task Assignment in Service Crowdsourcing.

F Tang - IJCAI, 2020 - ijcai.org
Existing schemes cannot assign complex tasks to the most suitable workers because they
either cannot measure skills quantitatively or do not consider assigning tasks to workers who …

Strategic proxy voting on the line

G Bielous, R Meir - arXiv preprint arXiv:2305.10969, 2023 - arxiv.org
This paper offers a framework for the study of strategic behavior in proxy voting, where non-
active voters delegate their votes to active voters. We further study how proxy voting affects …

Maximizing the probability of fixation in the positional voter model

P Petsinis, A Pavlogiannis, P Karras - Proceedings of the AAAI …, 2023 - ojs.aaai.org
The Voter model is a well-studied stochastic process that models the invasion of a novel trait
A (eg, a new opinion, social meme, genetic mutation, magnetic spin) in a network of …

[HTML][HTML] Predicting voting outcomes in the presence of communities, echo chambers and multiple parties

J Bara, O Lev, P Turrini - Artificial Intelligence, 2022 - Elsevier
When individuals interact in a social network their opinions can change, at times quite
significantly, as a result of social influence. In elections, for example, while they might initially …

Designing for collective intelligence and community resilience on social networks

J Chamberlain, B Turpin, A Maged… - Human …, 2021 - repository.essex.ac.uk
The popularity and ubiquity of social networks has enabled a new form of decentralised
online collaboration: groups of users gathering around a central theme and working together …

[PDF][PDF] The Grapevine Web: Analysing the Spread of False Information in Social Networks with Corrupted Sources

J Bara, C Pilgrim, P Turrini… - Proceedings of the 2023 …, 2023 - southampton.ac.uk
The Grapevine Web: Analysing the Spread of False Information in Social Networks with
Corrupted Sources Page 1 The Grapevine Web: Analysing the Spread of False Information in …

Proxy manipulation for better outcomes

G Bielous, R Meir - European Conference on Multi-Agent Systems, 2022 - Springer
This paper offers a framework for the study of strategic behavior in proxy voting, where non-
active voters delegate their votes to active voters. It further studies how proxy voting affects …