scholarly journals Group play in games and the role of consent in network formation

2007 ◽  
Vol 136 (1) ◽  
pp. 417-445 ◽  
Author(s):  
Gary Charness ◽  
Matthew O. Jackson
Keyword(s):  
Network Formation ◽  
Group Play

Networks

2020 ◽  
pp. 534-562
Author(s):  
Matthew O. Jackson ◽  
Brian W. Rogers ◽  
Yves Zenou
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Statistical Analysis ◽  
Labor Markets ◽  
Network Formation ◽  
Labor Market Outcomes ◽  
Negative Consequences ◽  
Social Scientists ◽  
Market Outcomes

What is the role of social networks in driving persistent differences between races and genders in education and labor market outcomes? What is the role of homophily in such differences? Why is such homophily seen even if it ends up with negative consequences in terms of labor markets? This chapter discusses social network analysis from the perspective of economics. The chapter is organized around the theme of externalities: the effects that one’s behavior has on others’ welfare. Externalities underlie the interdependencies that make networks interesting to social scientists. This chapter discusses network formation, as well as interactions between people’s behaviors within a given network, and the implications in a variety of settings. Finally, the chapter highlights some empirical challenges inherent in the statistical analysis of network-based data.

Key role of network formation in Rutting, fatigue and brittle performance of bitumen/PEG/MDI/SiO2 composites

2021 ◽  
Vol 296 ◽  
pp. 123739
Author(s):  
Tian Xia ◽  
Xiang Chen ◽  
Jianhui Xu ◽  
Anxin Zhang ◽  
Zhongli Wang ◽  
...  
Keyword(s):  
Network Formation

Cide-A Gene Expression in Patients with Obesity Qualified for Endovascular Treatment of Abdominal Aorta Aneurysm

2015 ◽  
Vol 86 (10) ◽  
Author(s):  
Marcin Feldo ◽  
Janusz Kocki ◽  
Jan Feldo ◽  
Sylwia Łukasik ◽  
Jacek Bogucki ◽  
...  
Keyword(s):  
Gene Expression ◽  
Endovascular Aneurysm Repair ◽  
The Body ◽  
Control Group ◽  
Study Group ◽  
Aorta Aneurysm ◽  
Group Play ◽  
Aneurysm Repair ◽  
Adipose Tissue Cells

Abstractgene and the genes of LRP group play a key role in the regulation of the body weight and lipid metabolism in mammals.was to define the role of. The study group consisted of 38 subjects, including 27 men and 11 women qualified for endovascular aneurysm repair (EVAR). The subjects with abdominal aortic aneurysm were enrolled in the study group, depending on the body mass index (BMI); in obese patients (BMI > 30). The control group (n = 16) included subjects without lipid disorders. One-step isolation of RNA from lymphocytes and adipose tissue cells was performed using the modified TRI method by Chomc-zynski and Sacchi, and then the gene expression was tested by real-time PCR.. The highest mean relative of the gene expression for. Due to the important role of the

Abstract 5: Neovascularization By Substance-p- Mobilized Epc And Msc In Vitro And In Vivo

2014 ◽  
Vol 115 (suppl_1) ◽  
Author(s):  
Hyun Sook Hong ◽  
Suna Kim ◽  
Youngsook Son
Keyword(s):  
Stem Cells ◽  
Mesenchymal Stem Cells ◽  
Substance P ◽  
Network Formation ◽  
Skin Wound ◽  
Hematopoietic Stem ◽  
Vessel Structure

Bone marrow stem cells, especially, endothelial precursor cells (EPC), mesenchymal stem cells (MSC) or hematopoietic stem cell (HSC) are expected as reparative cells for the repair of a variety of tissue damages such as stroke and myocardial infarction, even though their role in the repair is not demonstrated. This report was investigated to find a role of Substance-p (SP) as a reparative agent in the tissue repair requiring EPC and MSC. In order to examine EPC (EPC SP ) and MSC (MSC SP ) mobilized by SP, we injected SP intravenously for consecutive 2 days and saline was injected as a vehicle. At 3 post injection, peripheral blood (PB) was collected.To get mesenchymal stem cells or endothelial progenitor cells, MNCs were incubated in MSCGM or EGM-2 respectively for 10 days. Functional characteristics of the EPC SP were proven by the capacity to form endothelial tubule network in the matrigel in vitro and in the matrigel plug assay in vivo. In contrast, MSC SP did not form a tube-like structure but formed a pellet-structure on matrigel. However, when both cells were premixed before the matrigel assay, much longer and branched tubular network was formed, in which a-SMA expressing MSC SP were decorating outside of the endothelial tube, especially enriched at the bifurcating point. MSC SP may contribute and reinforce elaborate vascular network formation in vivo by working as pericyte-like cells. Thus, the EPC SP and MSC SP were labeled with PKH green and PKH red respectively and their tubular network was examined. Well organized tubular network was formed, which was covered by PKH green labeled cells and was decorated in a punctate pattern by PKH red labeled cells. In order to investigate the role of EPC SP and MSC SP specifically in vivo, rabbit EPC SP and MSC SP were transplanted to full thickness skin wound. The vessel of EPC SP -transplanted groups was UEA-lectin+, which was not covered with a-SMA+ pericytes but EPC SP + MSC SP -transplanted groups showed, in part, a-SMA+ pericyte-encircled UEA-lectin+ vessels. This proved the specific role of MSC SP as pericytes. From these data, we have postulated that the collaboration of MSC and EPC is essential for normal vessel structure and furthermore, accelerated wound healing as ischemia diseases, which can be stimulated through by SP injection.

ENDOGENOUS SOCIAL DISTANCING AND CONTAINMENT POLICIES IN SOCIAL NETWORKS

2021 ◽  
Vol 257 ◽  
pp. 101-117
Author(s):  
Fabrizio Adriani ◽  
Dan Ladley
Keyword(s):  
Social Networks ◽  
Network Formation ◽  
Crowding Out ◽  
Policy Intervention ◽  
Negative Externalities ◽  
Formation Theory ◽  
Social Distancing ◽  
Face To Face ◽  
Underlying Network

Can smart containment policies crowd out private efforts at social distancing? We analyse this question from the perspective of network formation theory. We focus in particular on the role of externalities in social distancing choices. We also look at how these choices are affected by factors such as the agents’ risk perception, the speed of the policy intervention, the structure of the underlying network and the presence of strategic complementarities. We argue that crowding out is a problem when the probability that an outbreak may spread undetected is relatively high (either because testing is too infrequent or because tests are highly inaccurate). This is also the case where the choice of relaxing social distancing generates the largest negative externalities. Simulations on a real-world network suggest that crowding out is more likely to occur when, in the absence of interventions, face-to-face contacts are perceived to carry relatively high risk.

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