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

2020
##### Authors
Schweitzer, Frank
Mavrodiev, Pavlin
Journal article
Published
##### Published in
Entropy ; 22 (2020), 10. - 1073. - MDPI. - eISSN 1099-4300
##### Abstract
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 of relative reputation that users receive from their followers. They can be increased by direct and indirect reciprocity in following each other, which leads to a core-periphery structure of the OSN. Costs relate to the effort to login, to maintain the profile, etc. and are assumed as constant for all users. The robustness of the OSN depends on the entry and exit of users over time. Intuitively, one would expect that higher costs lead to more users leaving and hence to a less robust OSN. We demonstrate that an optimal cost level exists, which maximizes both the performance of the OSN, measured by means of the long-term average benefit of its users, and the robustness of the OSN, measured by means of the lifetime of the core of the OSN. Our mathematical and computational analyses unfold how changes in the cost level impact reciprocity and subsequently the core-periphery structure of the OSN, to explain the optimal cost level.
320 Politics
##### Keywords
reciprocity; core-periphery network; cost-benefit relation; robustness; reputation
##### Cite This
ISO 690SCHWEITZER, Frank, Pavlin MAVRODIEV, Adrian M. SEUFERT, David GARCIA, 2020. Modeling User Reputation in Online Social Networks : The Role of Costs, Benefits, and Reciprocity. In: Entropy. MDPI. 22(10), 1073. eISSN 1099-4300. Available under: doi: 10.3390/e22101073
BibTex
@article{Schweitzer2020Model-59784,
year={2020},
doi={10.3390/e22101073},
title={Modeling User Reputation in Online Social Networks : The Role of Costs, Benefits, and Reciprocity},
number={10},
volume={22},
journal={Entropy},
author={Schweitzer, Frank and Mavrodiev, Pavlin and Seufert, Adrian M. and Garcia, David},
note={Article Number: 1073}
}

RDF
<rdf:RDF
xmlns:dcterms="http://purl.org/dc/terms/"
xmlns:dc="http://purl.org/dc/elements/1.1/"
xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:bibo="http://purl.org/ontology/bibo/"
xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
xmlns:foaf="http://xmlns.com/foaf/0.1/"
xmlns:void="http://rdfs.org/ns/void#"
xmlns:xsd="http://www.w3.org/2001/XMLSchema#" >
<dcterms:abstract xml:lang="eng">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 of relative reputation that users receive from their followers. They can be increased by direct and indirect reciprocity in following each other, which leads to a core-periphery structure of the OSN. Costs relate to the effort to login, to maintain the profile, etc. and are assumed as constant for all users. The robustness of the OSN depends on the entry and exit of users over time. Intuitively, one would expect that higher costs lead to more users leaving and hence to a less robust OSN. We demonstrate that an optimal cost level exists, which maximizes both the performance of the OSN, measured by means of the long-term average benefit of its users, and the robustness of the OSN, measured by means of the lifetime of the core of the OSN. Our mathematical and computational analyses unfold how changes in the cost level impact reciprocity and subsequently the core-periphery structure of the OSN, to explain the optimal cost level.</dcterms:abstract>
<dc:contributor>Schweitzer, Frank</dc:contributor>
<void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
<dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/42"/>
<dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/42"/>
<dc:contributor>Garcia, David</dc:contributor>
<dcterms:issued>2020</dcterms:issued>
<dc:contributor>Mavrodiev, Pavlin</dc:contributor>
<dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/59784/1/Schweitzer_2-978qqn9z3khw7.pdf"/>
<dc:creator>Mavrodiev, Pavlin</dc:creator>
<dc:creator>Schweitzer, Frank</dc:creator>
<dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-01-18T12:41:09Z</dcterms:available>
<dc:creator>Garcia, David</dc:creator>
<dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-01-18T12:41:09Z</dc:date>