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Hagen Echzell

dblp:245/2753 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2020
0000-0003-1450-3453ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Algorithmic game theory and mechanism design · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithmic game theory and mechanism design › network games
network creation games
0.412020
Flow-Based Network Creation Games · IJCAI 2020
Algorithmic game theory and mechanism design
price of anarchy and stability
0.412020
Flow-Based Network Creation Games · IJCAI 2020

Methods — techniques the papers use, named apart from their topics

potential function analysis · 0.4game theory · 0.4
YearPublicationVenuePosition
2020 Flow-Based Network Creation Games
abstract
Network Creation Games(NCGs) model the creation of decentralized communication networks like the Internet. In such games strategic agents corresponding to network nodes selfishly decide with whom to connect to optimize some objective function. Past research intensively analyzed models where the agents strive for a central position in the network. This models agents optimizing the network for low-latency applications like VoIP. However, with today's abundance of streaming services it is important to ensure that the created network can satisfy the increased bandwidth demand. To the best of our knowledge, this natural problem of the decentralized strategic creation of networks with sufficient bandwidth has not yet been studied. We introduce Flow-Based NCGs where the selfish agents focus on bandwidth instead of latency. In essence, budget-constrained agents create network links to maximize their minimum or average network flow value to all other network nodes. Equivalently, this can also be understood as agents who create links to increase their connectivity and thus also the robustness of the network. For this novel type of NCG we prove that pure Nash equilibria exist, we give a simple algorithm for computing optimal networks, we show that the Price of Stability is 1 and we prove an (almost) tight bound of 2 on the Price of Anarchy. Last but not least, we show that our models do not admit a potential function.
Hagen Echzell, Tobias Friedrich 0001, Pascal Lenzner, Anna Melnichenko
IJCAI1
2019 Convergence and Hardness of Strategic Schelling Segregation
Hagen Echzell, Tobias Friedrich 0001, Pascal Lenzner, Louise Molitor, Marcus Pappik, Friedrich Schöne, Fabian Sommer, David Stangl
WINE1