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TESTING MODELS OF SOCIAL LEARNING ON NETWORKS: EVIDENCE FROM A FRAMED FIELD EXPERIMENT
Networks Bayesian learning DeGroot learning
2015/7/15
Theory has focused on two leading models of social learning on networks:
Bayesian and DeGroot rules of thumb learning. These models can yield greatly divergent
behavior; individuals employing rules ...
TRACTABLE AND CONSISTENT RANDOM GRAPH MODELS
Random Networks Random Graphs Exponential Random Graph Models
2015/7/15
addressing the problem that standard techniques of estimating ERGMs have
been shown to have exponentially slow mixing times for many specifications, we show
that by reformulating network forma...
SOCIAL NETWORKS AS CONTRACT ENFORCEMENT: EVIDENCE FROM A LAB EXPERIMENT IN THE FIELD
Social Networks Contract Enforcement Informal Insurance
2015/7/15
Absence of well-functioning formal institutions leads to reliance on social
networks to enforce informal contracts. Social ties may aid cooperation, but agents
vary in network centrality, and this h...
NETWORK CENTRALITY AND INSTITUTIONAL DESIGN: EVIDENCE FROM A LAB EXPERIMENT IN THE FIELD
Social networks Institutional design Informal contracting
2015/7/15
While social closeness mitigates contractual incompleteness, we examine how communities
can enlist third parties to improve cooperation between socially distant pairs. Network-central members
may be...
SOCIAL NETWORKS, REPUTATION AND COMMITMENT: EVIDENCE FROM A SAVINGS MONITORS EXPERIMENT
Commitment Reputation Savings
2015/7/15
We conduct a field experiment with 1,300 participants in India to measure
whether individuals save more when information about their savings is regularly shared
with another member of their vi...
NETWORK STRUCTURE AND THE AGGREGATION OF INFORMATION: THEORY AND EVIDENCE FROM INDONESIA
Networks Diff usion of information Targeting Development
2015/7/15
We use unique data from 600 Indonesian communities on what individuals know about
the poverty status of others to study how network structure influences information aggregation.
We develop a m...
Analyzing the Facebook Friendship Graph
Online social network the emerging phenomenon of network network data subscribe to the user
2015/7/15
Online Social Networks (OSN) during last years acquired a huge and increasing popularity as one of the most important emerging Web phenomena, deeply modifying the behavior of users and contributing to...
面向MANET异常检测的分布式遗传k-means研究
移动自组网 异常入侵检测 k-means聚类 Map Reduce 遗传算法 划分贡献度
2015/12/21
针对移动自组网(MANET,mobile ad hoc networks)入侵检测过程中的攻击类型多样性和监测数据海量性问题,提出了一种基于改进k-means算法的MANET异常检测方法。通过引入划分贡献度的概念,可合理地计算各维特征在检测中占有的权重,并将遗传算法与快速聚类检测算法k-means相结合,解决了聚类检测结果容易陷入局部最优的问题,进而,提出了以上检测算法在Map Reduce框架下...
Mixed Integer-Linear Programming for Link Scheduling in Interference-Limited Networks
Link Scheduling Interference-Limited Networks
2015/6/19
We consider the problem of link scheduling in wireless networks with interference. The problem of computing a link schedule to minimize the power consumption with the constraint that each link support...
In this paper, we address the question of global asymptotic stability of TCP/AQM congestion control protocols. We analyze a well-known model, whose dynamics were previously shown to be locally stable ...
An Energy-Optimal Algorithm for Neighbor Discovery in Wireless Sensor Networks
Wireless Sensor Networks Neighbor Discovery
2015/6/19
We consider sensor networks in which individual nodes with on-board sensing and low-power transmitters and receivers establish connections with neighboring nodes. The overall objective is to enable en...
A Distributed Algorithm for Maximum Lifetime Routing in Ad Hoc Wireless Networks
Wireless Networks Maximum Lifetime Routing
2015/6/19
An ad hoc sensor network of nodes with wireless transceiver capabilities is considered. We propose distributed algorithms to compute an optimal routing scheme that maximizes the time at which the firs...
A Bayesian Network Approach to Control of Networked Markov Decision Processes
Decision Processes Contro
2015/6/19
We consider the problem of finding an optimal feedback controller for a networked Markov decision process. Specifically, we consider a network of interconnected subsystems, where each subsystem evolve...
Information State for Markov Decision Processes with Network Delays
Network Delays Decision Processes
2015/6/19
We consider a networked control system, where each subsystem evolves as a Markov decision process (MDP). Each subsystem is coupled to its neighbors via communication links over which the signals are d...
Global Stability Analysis of a Nonlinear Model of Internet Congestion Control with Delay
Nonlinear Model Stability Analysis
2015/6/19
In this paper we address global stability of a model for the TCP/AQM congestion control protocol. This model represents the dynamics of a single link and single source, and consists of a nonlinear dif...