搜索结果: 1-13 共查到“social networks”相关记录13条 . 查询时间(0.312 秒)
Resources or Power?Implications of Social Networks on Compensation and Firm Performance
corporate governance compensation board of directors social networks performance
2015/5/13
Using a sample of 4,278 listed UK firms, we construct a social network of directorship-interlocks that comprises 31,495 directors. We use social capital theory and techniques developed in social netwo...
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...
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 ...
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...
The Emergence of Leadership in Social Networks
Minority Game Social Networks Emergent Power Laws
2011/7/4
We study a networked version of the minority game in which agents can
choose to follow the choices made by a neighbouring agent in a social network.
We show that for a wide variety of networks a lea...
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...
Modeling social networks from sampled data
Exponential family random graph model pmodel Markov chain Monte Carlo design-based inference
2010/10/19
Network models are widely used to represent relational information among interacting units and the structural implications of these relations. Recently, social network studies have focused a great dea...
Pharmacy Faculty Members' Perspectives on the Student/Faculty Relationship in Online Social Networks
online social networking Facebook relationships technology network
2018/5/25
Objective. To describe pharmacy faculty members' use of the online social network Facebook and compare the perspectives of faculty members with and without Facebook profiles regarding student/faculty ...
Efficient Bayesian Learning in Social Networks with Gaussian Estimators
Efficient Bayesian Learning Social Networks Gaussian Estimators
2010/3/10
We propose a simple and efficient Bayesian model of iterative learning on social networks.
This model is efficient in two senses: the process both results in an optimal belief, and can
be carried ou...
Mapping Social Networks among Crystallographers in South Africa
knowledge transfer information communication social networks crystallographers scientists
2009/7/16
The author adopts the premise that technological innovation, a critical factor in the long-term economic growth of any country, can only function successfully within a social environment that provides...