Accounting for topology in spreading contagion in non-complete networks

2012 ◽  
Author(s):  
June Zhang ◽  
Jose M.F. Moura
Keyword(s):  
Complete Networks

Broadcasting in complete networks with faulty nodes using unreliable calls

1991 ◽  
Vol 40 (3) ◽  
pp. 169-174 ◽  
Author(s):  
Andrzej Pelc
Keyword(s):  
Complete Networks

scholarly journals Game equilibria and unification dynamics in networks with heterogeneous agents

2017 ◽  
Vol 9 ◽  
pp. 184797901773167 ◽  
Author(s):  
Vladimir Matveenko ◽  
Alexei Korolev ◽  
Maria Zhdanova
Keyword(s):  
Heterogeneous Agents ◽  
Comparative Statics ◽  
Star Network ◽  
Complete Networks ◽  
Time Periods ◽  
Second Period ◽  
Adjustment Dynamics

We study game equilibria in a model of production and externalities in network with two types of agents who possess different productivities. Each agent may invest a part of her endowment (it may be, for instance, time or money) in the first of two time periods; consumption in the second period depends on her own investment and productivity as well as on the investments of her neighbors in the network. Three ways of agent’s behavior are possible: passive (no investment), active (a part of endowment is invested), and hyperactive (the whole endowment is invested). For star network with different productivities of agents in the center and in the periphery, we obtain conditions for existence of inner equilibrium (with all active agents) and study comparative statics. We introduce adjustment dynamics and study consequences of junction of two complete networks with different productivities of agents. In particular, we study how the behavior of nonadopters (passive agents) changes when they connect to adopters (active or hyperactive) agents.

Optimal asynchronous agreement and leader election algorithm for complete networks with Byzantine faulty links

1995 ◽  
Vol 9 (3) ◽  
pp. 147-156 ◽  
Author(s):  
Hasan M. Sayeed ◽  
Marwan Abu-Amara ◽  
Hosame Abu-Amara
Keyword(s):  
Leader Election ◽  
Complete Networks ◽  
Election Algorithm ◽  
Leader Election Algorithm

scholarly journals A Demonstration That Large-Scale Warming Is Not Urban

2006 ◽  
Vol 19 (12) ◽  
pp. 2882-2895 ◽  
Author(s):  
David E. Parker
Keyword(s):  
Large Scale ◽  
Urban Heat Islands ◽  
Global Trends ◽  
Heat Islands ◽  
Air Temperatures ◽  
Regional Trends ◽  
Windy Weather ◽  
Complete Networks ◽  
Urban Heat ◽  
Selection Of

Abstract On the premise that urban heat islands are strongest in calm conditions but are largely absent in windy weather, daily minimum and maximum air temperatures for the period 1950–2000 at a worldwide selection of land stations are analyzed separately for windy and calm conditions, and the global and regional trends are compared. The trends in temperature are almost unaffected by this subsampling, indicating that urban development and other local or instrumental influences have contributed little overall to the observed warming trends. The trends of temperature averaged over the selected land stations worldwide are in close agreement with published trends based on much more complete networks, indicating that the smaller selection used here is sufficient for reliable sampling of global trends as well as interannual variations. A small tendency for windy days to have warmed more than other days in winter over Eurasia is the opposite of that expected from urbanization and is likely to be a consequence of atmospheric circulation changes.

Discussion Networks in Political Decision Making

2020 ◽  
Author(s):  
Ian Shapiro ◽  
Steven Richardson ◽  
Scott McClurg ◽  
Anand Sokhey
Keyword(s):  
Voting Behavior ◽  
Large Scale ◽  
Field Experiments ◽  
Political Discussion ◽  
Cross Sectional ◽  
Attitude Polarization ◽  
Political Networks ◽  
Research Designs ◽  
Large Scale Field ◽  
Complete Networks

Decades of work have illuminated the influence interpersonal networks exert on voting behavior, political participation, the acquisition of political knowledge, tolerance, ambivalence, and attitude polarization. These central findings have largely been grounded in examinations of political discussion and have remained robust to measurement differences of key concepts like disagreement, various data collection methods, and multiple research designs ranging from the cross-sectional to large-scale field experiments. By comparison, scholars understand considerably less about individuals’ motivation to approach their social contacts when it comes to politics, and about why networks produce the outcomes that they do; this calls researchers to reflect on and revisit previous research, but also to consider new paths of research. Although there is a growing body of promising work focused on “whole,” or complete, networks, much can also be gained by better integrating social psychology into the study of egocentric, or “core,” political networks. Answering these (and other) questions will help connect current findings, emerging methods, and nascent theory. Such connections should advance dialogues between research on group influence, discussion networks, and individual political behavior.

scholarly journals Exploring how Homophily and Accessibility can Facilitate Polarization in Social Networks

2018 ◽  
Author(s):  
Cameron Taylor ◽  
Alexander V. Mantzaris ◽  
Ivan Garibay
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Low Cost ◽  
Voter Model ◽  
The Public ◽  
Pairwise Interactions ◽  
Online Social Media ◽  
Complete Networks ◽  
Social Media Platforms ◽  
The Public Sphere

Polarization in online social networks has gathered a significant amount of attention in the research community and in the public sphere due to stark disagreements with millions of participants in topics surrounding politics, climate, the economy and other areas where an agreement is required. There are multiple approaches to investigating the scenarios in which polarization occurs and given that polarization is not a new phenomenon but that its virality may be supported by the low cost and latency messaging offered by online social media platforms; an investigation into the intrinsic dynamics of online opinion evolution is presented for complete networks. Extending a model which utilizes the Binary Voter Model (BVM) to examine the effect of the degree of freedom for selecting contacts based upon homophily, simulations show that different opinions are reinforced for a period of time when users have a greater range of choice for association. The facility of discussion threads and groups formed upon common views further delays the rate in which a consensus can form between all members of the network. This can temporarily incubate members from interacting with those who can present an alternative opinion where a voter model would then proceed to produce a homogeneous opinion based upon pairwise interactions.

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