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CONSISTENCY AND RELEVANCE OF VGI AVAILABLE FROM SOCIAL NETWORKS FOR EMERGENCY MITIGATION AND MUNICIPAL MANAGEMENT
Volunteered Geographic Information (VGI) Flickr, Emergency Mitigation
2018/11/9
Volunteered geographical information (VGI) is an increasing source of data for many applications. In order to explore some of these sources of data, an algorithm was conceived and implemented in the E...
The spread of innovations in social networks
Network structure the epidemic model of coordination game
2015/8/20
Which network structures favor the rapid spread of new ideas, behaviors, or technologies? This question has been studied extensively using epidemic models. Here we consider a complementary point of vi...
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...
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...
THE EXCHANGE OF SOCIAL SUPPORT VIA SOCIAL NETWORKS OF MATERNAL CAREGIVERS FOR CHILDREN WITH AUTISM SPECTRUM DISORDERS
special needs children with special needs autism
2015/5/26
The role of social support in the lives of the 16.8 million caregivers for children with special needs in the U.S. is not adequately understood. Many studies have explored seeking health information o...
Modeling Temporal Activity Patterns in Dynamic Social Networks
Activity Profile Modeling Twitter Data-Fitting Explanation Prediction Hidden Markov Model Coupled Hidden Markov Model Social Network In uence User Clustering
2013/6/14
The focus of this work is on developing probabilistic models for user activity in social networks by incorporating the social network influence as perceived by the user. For this, we propose a coupled...
Detecting the Structure of Social Networks Using (α, β)-Communities
Detecting Social Networks Using (α, β)-Communities
2012/12/3
An (α, β)-community is a subset of vertices C with each vertex in C connected to at least β vertices of C (self-loops counted) and each vertex outside of C connected to at most α vertices of C (α < β)...
Modeling information di usion is an often investigated area
in social network science. Optimizing propagation through targeting in-
teractions is an intriguing subfocus within this area, where the g...
Majority Dynamics and Aggregation of Information in Social Networks
Majority Dynamics Aggregation of Information Social Networks
2012/9/18
Considernindividuals who, by popular vote, choose among q≥2 alternatives, one of which is “better” than the others. Assume that each individual votes independently at random, and that the probability ...
Detecting Community Kernels in Large Social Networks
community kernels community kernel detection auxiliary communities social networks
2012/12/4
In many social networks, there exist two types of users that exhibit different influence and different behavior. For instance, statistics have shown that less than 1% of the Twitter users (e.g. entert...
Targeting Individuals to Catalyze Collective Actionin Social Networks
Nudging social influence networks collective action intervention
2014/8/8
To increase the level of collective action to solve problems related to sustainability and public health behavioral scientists have shown that the use of social influence and peer pressure can be effe...
When the El Farol Bar Problem Is Not a Problem? The Role of Social Preferences and Social Networks
El Farol Bar Problem Social Preferences Social Networks
2014/8/8
In this paper, we study the self-coordination problem as demonstrated by the well-known El Farol Bar problem (Arthur, 1994),which later becomes what is known as the Minority Game in the econophysics c...
Co-evolution of Selection and Influence in Social Networks
Co-evolution Selection Influence Social Networks
2011/7/7
Many networks are complex dynamical systems, where both attributes of nodes and topology of the network (link structure) can change with time. We propose a model of co-evolving networks where both nod...
Social networks and industrial geography
Social networks Entrepreneurship Agglomeration Spin-offs
2010/11/5
In many industries, production resides in a small number of highly concentrated
regions; for example, several high tech industries cluster in SiliconValley.
Explanations for this phenomenon have foc...
Infinite Hierarchical MMSB Model for Nested Communities/Groups in Social Networks
Infinite Hierarchical MMSB Model Nested Communities/Groups Social Networks
2010/10/19
Actors in realistic social networks play not one but a number of diverse roles depending on whom they interact with, and a large number of such role-specific interactions collectively determine social...