activity
20152020
most citedIdeological and Temporal Components of Network Polarization in Online Political Participatory Media

91 citations · 101 across the 2 of their papers we have counts for

collaborators

8 papers

physics.soc-ph202010 cited

Fragile, yet resilient: Adaptive decline in a collaboration network of firms

Frank Schweitzer, Giona Casiraghi, Mario V. Tomasello +1

The dynamics of collaboration networks of firms follow a life-cycle of growth and decline. That does not imply they also become less resilient. Instead, declining collaboration net…

physics.soc-ph2020

An agent-based model of multi-dimensional opinion dynamics and opinion alignment

Simon Schweighofer, David Garcia, Frank Schweitzer

It is known that individual opinions on different policy issues often align to a dominant ideological dimension (e.g. "left" vs. "right") and become increasingly polarized. We prov…

cs.SI2019

Modeling User Reputation in Online Social Networks: The Role of Costs, Benefits, and Reciprocity

Frank Schweitzer, Pavlin Mavrodiev, Adrian M. Seufert +1

We analyze an agent-based model to estimate how the costs and benefits of users in an online social network (OSN) impact the robustness of the OSN. Benefits are measured in terms o…

physics.soc-ph2019

How emotions drive opinion polarization: An agent-based model

Frank Schweitzer, Tamas Krivachy, David Garcia

We provide an agent-based model to explain the emergence of collective opinions not based on feedback between different opinions, but based on emotional interactions between agents…

cs.HC2016

The QWERTY effect on the web: How typing shapes the meaning of words in online human-computer interaction

David Garcia, Markus Strohmaier

The QWERTY effect postulates that the keyboard layout influences word meanings by linking positivity to the use of the right hand and negativity to the use of the left hand. For ex…

cs.SI2016

When the Filter Bubble Bursts: Collective Evaluation Dynamics in Online Communities

Adiya Abisheva, David Garcia, Frank Schweitzer

We analyze online collective evaluation processes through positive and negative votes in various social media. We find two modes of collective evaluations that stem from the existe…