4,843 research outputs found
Supplemental_Material_2 – Supplemental material for Who is most influential? Adolescents’ intergroup attitudes and peer influence within a social network
No full textSupplemental material, Supplemental_Material_2 for Who is most influential? Adolescents’ intergroup attitudes and peer influence within a social network by Tibor Zingora, Tobias H. Stark and Andreas Flache in Group Processes & Intergroup Relations</p
Online_Appendix – Supplemental material for Who is most influential? Adolescents’ intergroup attitudes and peer influence within a social network
No full textSupplemental material, Online_Appendix for Who is most influential? Adolescents’ intergroup attitudes and peer influence within a social network by Tibor Zingora, Tobias H. Stark and Andreas Flache in Group Processes & Intergroup Relations</p
The rational weakness of strong ties: Failure of Group Solidarity in a Highly Cohesive Group of Rational Agents
Full text linkRecent research (Flache, 1996; Flache and Macy, 1996) suggests a "weakness of strong ties." Cohesive social networks may undermine group solidarity, rather than sustain it. In the original analysis, simulations showed that adaptive actors learn cooperation in bilateral exchanges faster than cooperation in more complex group exchanges, favoring ties at the expense of the common good. This article uses game theory to demonstrate that cognitive simplicity is not a scope condition for the result. The game theoretical analysis identifies a new condition for the failure of group solidarity in a cohesive group. Task uncertainty may make rational cooperation increasingly inefficient in common good production. Accordingly, rational actors may increasingly sacrifice benefits from common good production in order to maintain social ties, as their dependence on peer approval rises.
Solidarity in collaboration networks when everyone competes for the strongest partner: a stochastic actor-based simulation model
Full text linkThis article examines the emergence of solidarity from interactions between professionals competing for collaboration. Research on multiplex collaboration networks has shown that economic exchange can elicit solidarity when mediated by trust but did not consider the effect of competition. To fill this gap, we built an agent-based model that simulates the evolution of a multiplex network of collaboration, trust, and support expectations. Simulations show that while resource heterogeneity is key for collaboration, competition for attractive collaboration partners penalizes low-resource professionals, who are less connected and highly segregated. Heterogeneous resource distribution can trigger segregation because of preferential selection of resourceful peers and reciprocity. Interestingly, we also found that low-resource professionals can reduce their marginalization by building in-group mutual support expectations
How attitude certainty tempers the effects of faultlines in demographically diverse teams
Full text linkLau and Murnighan's faultline theory suggests that strong demographic faultlines can undermine cohesion in work teams. A strong faultline splits a team into internally homogeneous but mutually dissimilar subgroups based on demographic characteristics. Social influence processes within these subgroups then lead to the polarization of team members' attitudes along the divisions imposed by the faultline. However, faultline theory hitherto neglects effects of attitude certainty. Research shows that the certainty with which individuals hold their attitudes affects social influence processes. We extend theoretical faultline research by integrating attitude certainty. For this, we incorporate the interplay of the dynamics of attitude certainty and social influence into a formal model of demographic faultline effects developed by Flache and Mas. Computational experiments suggest a moderation effect. Demographic faultlines only affect team cohesion if attitude certainty is low. We discuss implications for future research
Social Informatics: 4th International Conference, SocInfo 2012, Lausanne, Switzerland, December 5-7, 2012, Proceedings
No full textHow Can Social Networks Ever Become Complex? Modelling the Emergence of Complex Networks from Local Social Exchanges
Full text linkSmall-world and power-law network structures have been prominently proposed as models of large networks. However, the assumptions of these models usually lack sociological grounding. We present a computational model grounded in social exchange theory. Agents search attractive exchange partners in a diverse population. Agent use simple decision heuristics, based on imperfect, local information. Computer simulations show that the topological structure of the emergent social network depends heavily upon two sets of conditions, harshness of the exchange game and learning capacities of the agents. Further analysis show that a combination of these conditions affects whether star-like, small-world or power-law structures emerge.Complex Networks, Power-Law, Scale-Free, Small-World, Agent-Based Modeling, Social Exchange Theory, Structural Emergence
Stylos kai edraiōma tēs ekklēsias, sive, Dissertatio de iustificatione hominis
No full textquam ... sub praesidio ... Ioh. Henrici Heideggeri ... placido eruditorum examini subiicit Andreas Steinerus, Vitod. author & respondens, ad diem Octobris loco horisque solitisDiss. Hohe Schule Zürich, 167
The double edge of networks at work 1994-1995
No full textAnalysis of the effect of informal networks on cooperation in social dilemmas Effort decision / approval of members towards each other / wage per unit of work / simulated participants in group-last / experiment session / group within sessio
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