Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Vincenzo Auletta"'
Publikováno v:
Theoretical Computer Science. 869:156-180
We consider opinion diffusion on social graphs where agents hold opinions and where social pressure leads them to conform to the opinion manifested by the majority of their neighbors. Within this setting, we look for dynamics that allows us to maximi
Autor:
Vincenzo Auletta, Daniele Anello, Raffaele Cerulli, Marco Amoruso, Diodato Ferraioli, Andrea Raiconi
Publikováno v:
Journal of Artificial Intelligence Research. 69:847-879
Online social networks are nowadays one of the most effective and widespread tools used to share information. In addition to being employed by individuals for communicating with friends and acquaintances, and by brands for marketing and customer serv
Publikováno v:
AIxIA 2021 – Advances in Artificial Intelligence ISBN: 9783031084201
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2f01071b4af4ff02fd15b385e7d3daf
https://doi.org/10.1007/978-3-031-08421-8_18
https://doi.org/10.1007/978-3-031-08421-8_18
We investigate the effects of the social influence in determining the behavior of agents in a social network in the context of an election. In particular, we concentrate our attention on how the structure of a social network can be manipulated in ord
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::471a2733dce962e6073bafda47fbac64
http://hdl.handle.net/11386/4733601
http://hdl.handle.net/11386/4733601
We study opinion diffusion on social graphs where agents hold binary opinions and where social pressure leads them to conform to the opinion manifested by the majority of their neighbors. We provide bounds relating the number of agents that suffice t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e087bd92f3c6c4e356c705d60c68dd5
http://hdl.handle.net/11386/4740058
http://hdl.handle.net/11386/4740058
Publikováno v:
AAAI
33rd AAAI Conference on Artificial Intelligence
33rd AAAI Conference on Artificial Intelligence, Jan 2019, Honolulu, United States. pp.6022-6029, ⟨10.1609/aaai.v33i01.33016022⟩
33rd AAAI Conference on Artificial Intelligence
33rd AAAI Conference on Artificial Intelligence, Jan 2019, Honolulu, United States. pp.6022-6029, ⟨10.1609/aaai.v33i01.33016022⟩
Friedkin and Johnsen (1990) modeled opinion formation in social networks as a dynamic process which evolves in rounds: at each round each agent updates her expressed opinion to a weighted average of her innate belief and the opinions expressed in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9935f7d4a684b746285e8f9f17173b1
http://hdl.handle.net/11386/4749545
http://hdl.handle.net/11386/4749545
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030351656
AI*IA
AI*IA
We investigate the effects that social influence can have on the behaviour of agents in a social network in the context of an election. In particular, we study how the structure of a social network can be manipulated in order to determine the outcome
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e42a438f45a27c411e2727a4aee71769
http://hdl.handle.net/11386/4732698
http://hdl.handle.net/11386/4732698
Publikováno v:
IJCAI
Opinion diffusion is studied on social graphs where agents hold binary opinions and where social pressure leads them to conform to the opinion manifested by their neighbors. Within this setting, questions related to whether a minority/majority can sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c4cb6fb44f05c2c2bd068efe9fb81d4
http://hdl.handle.net/11386/4718709
http://hdl.handle.net/11386/4718709
Publikováno v:
Web and Internet Economics ISBN: 9783319719238
WINE
WINE
A dynamics retains a specific information about the starting state of a networked multi-player system if this information can be computed from the state of the system also after several rounds of the dynamics. Information retention has been studied f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16cd4b42dba05500e7197c30312bc8ff
http://hdl.handle.net/11386/4803616
http://hdl.handle.net/11386/4803616
Drawing on ideas from game theory and quantum physics, we investigate nonlocal correlations from the point of view of equilibria in games of incomplete information. These equilibria can be classified in decreasing power as general communication equil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78fa049560485ff7beb2727b52755650
http://arxiv.org/abs/1605.07896
http://arxiv.org/abs/1605.07896