125 citations · 367 across the 35 of their papers we have counts for
8 papers · 1 filter
Form Without Function: Agent Social Behavior in the Moltbook Network
Saber Zerhoudi, Kanishka Ghosh Dastidar, Felix Klement +9
Moltbook is a social network where every participant is an AI agent. We analyze 1,312,238 posts, 6.7~million comments, and over 120,000 agent profiles across 5,400 communities, col…
Simulating systematic bias in attributed social networks and its effect on rankings of minority nodes
Felix I. Stamm, Leonie Neuhäuser, Florian Lemmerich +2
Network analysis provides powerful tools to learn about a variety of social systems. However, most analyses implicitly assume that the considered relational data is error-free, rel…
HopRank: How Semantic Structure Influences Teleportation in PageRank (A Case Study on BioPortal)
Lisette Espín-Noboa, Florian Lemmerich, Simon Walk +2
This paper introduces HopRank, an algorithm for modeling human navigation on semantic networks. HopRank leverages the assumption that users know or can see the whole structure of t…
Query for Architecture, Click through Military: Comparing the Roles of Search and Navigation on Wikipedia
Dimitar Dimitrov, Florian Lemmerich, Fabian Flöck +1
As one of the richest sources of encyclopedic information on the Web, Wikipedia generates an enormous amount of traffic. In this paper, we study large-scale article access data of…
Why We Read Wikipedia
Philipp Singer, Florian Lemmerich, Robert West +4
Wikipedia is one of the most popular sites on the Web, with millions of users relying on it to satisfy a broad range of information needs every day. Although it is crucial to under…
MixedTrails: Bayesian hypothesis comparison on heterogeneous sequential data
Martin Becker, Florian Lemmerich, Philipp Singer +2
Sequential traces of user data are frequently observed online and offline, e.g., as sequences of visited websites or as sequences of locations captured by GPS. However, understandi…
What Makes a Link Successful on Wikipedia?
Dimitar Dimitrov, Philipp Singer, Florian Lemmerich +1
While a plethora of hypertext links exist on the Web, only a small amount of them are regularly clicked. Starting from this observation, we set out to study large-scale click data…
Discovering and Characterizing Mobility Patterns in Urban Spaces: A Study of Manhattan Taxi Data
Lisette Espín-Noboa, Florian Lemmerich, Philipp Singer +1
Nowadays, human movement in urban spaces can be traced digitally in many cases. It can be observed that movement patterns are not constant, but vary across time and space. In this…