Alle Publikationen
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2018
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(2018): Spillover modes in multiplex games. Double-edged effects on cooperation and their coevolution. In: Scientific reports 8 (1). DOI: 10.1038/s41598-018-25025-3
DOI: http://www.ncbi.nlm.nih.gov/pubmed/29720679 Abstract: In recent years, there has been growing interest in studying games on multiplex networks that account for interactions across linked social contexts. However, little is known about how potential cross-context interference, or spillover, of individual behavioural strategy impact overall cooperation. We consider three plausible spillover modes, quantifying and comparing their effects on the evolution of cooperation. In our model, social interactions take place on two network layers: repeated interactions with close neighbours in a lattice, and one-shot interactions with random individuals. Spillover can occur during the learning process with accidental cross-layer strategy transfer, or during social interactions with errors in implementation. Our analytical results, using extended pair approximation, are in good agreement with extensive simulations. We find double-edged effects of spillover: increasing the intensity of spillover can promote cooperation provided cooperation is favoured in one layer, but too much spillover is detrimental. We also discover a bistability phenomenon: spillover hinders or promotes cooperation depending on initial frequencies of cooperation in each layer. Furthermore, comparing strategy combinations emerging in each spillover mode provides good indication of their co-evolutionary dynamics with cooperation. Our results make testable predictions that inspire future research, and sheds light on human cooperation across social domains.
Keywords: COMMONS, Disziplin, EVOLUTIONARY GAMES, Favoriten, GRAPHS, Interaction, Interaktion, interference of social interaction, Kooperation, Mathematik, NETWORKS, Netzwerk, Observablen/Kriterien für sozial angemessenes Verhalten und dessen Bewertung, social interaction, Soziale Angemessenheit, Soziologie, spillover effects, Voraussetzungen für sozial angemessenes Verhalten 2013
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(2013): Organizational social structures for software engineering. In: ACM Computing Surveys 46 (1), S. 1-35. DOI: 10.1145/2522968.2522971
Abstract: Software engineering evolved from a rigid process to a dynamic interplay of people (e.g., stakeholders or developers). Organizational and social literature call this interplay an Organizational Social Structure (OSS). Software practitioners still lack a systematic way to select, analyze, and support OSSs best fitting their problems (e.g., software development). We provide the state-of-the-art in OSSs, and discuss mechanisms to support OSS-related decisions in software engineering (e.g., choosing the OSS best fitting development scenarios). Our data supports two conclusions. First, software engineering focused on building software using project teams alone, yet these are one of thirteen OSS flavors from literature. Second, an emerging OSS should be further explored for software development: social networks. This article represents a first glimpse at OSS-aware software engineering, that is, to engineer software using OSSs best fit for the problem.
Keywords: Computerwissenschaft, cultural implications, governance, Human Factors, IMPACT, information trust, KNOWLEDGE COMMUNITIES, knowledge management, Management, model, NETWORKS, organizational decision-making, Organizational social structures, Organizational Social Structures (OSS), QUALITY, social adaptivity, social context, social networks, social structure, software organizations, software practice, user perspective, users, WORKCommunities
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