A Return to Biased Nets: New Specifications and Approximate Bayesian Inference [0.03%]
具有偏置项的神经网络：新设计与近似的贝叶斯推理
Carter T Butts
Carter T Butts
The biased net paradigm was the first general and empirically tractable scheme for parameterizing complex patterns of dependence in networks, expressing deviations from uniform random graph structure in terms of latent "bias events," whose ...
California Exodus? A Network Model of Population Redistribution in the United States [0.03%]
《加州人纷纷出逃？美国国内人口流动的网络模型》
Peng Huang,Carter T Butts
Peng Huang
Motivated by debates about California's net migration loss, we employ valued exponential-family random graph models to analyze the inter-county migration flow networks in the United States. We introduce a protocol that visualizes the comple...
Continuous Time Graph Processes with Known ERGM Equilibria: Contextual Review, Extensions, and Synthesis [0.03%]
具有已知ERGM平衡的连续时间图过程：文献回顾、扩展和综合
Carter T Butts
Carter T Butts
Graph processes that unfold in continuous time are of obvious theoretical and practical interest. Particularly useful are those whose long-term behavior converges to a graph distribution of known form. Here, we review some of the conditions...
Hiding opinions by minimizing disclosed information: an obfuscation-based opinion dynamics model [0.03%]
通过最小化披露的信息隐藏观点：基于模糊化的舆论动态模型
Tanzhe Tang,Amineh Ghorbani,Caspar G Chorus
Tanzhe Tang
In the field of opinion dynamics, the hiding of opinions is routinely modeled as staying silent. However, staying silent is not always feasible. In situations where opinions are indirectly expressed by one's observable actions, people may h...
Bert O Baumgaertner,Rebecca T Tyson,Stephen M Krone
Bert O Baumgaertner
Opinions are rarely binary; they can be held with different degrees of conviction, and this expanded attitude spectrum can affect the influence one opinion has on others. Our goal is to understand how different aspects of influence lead to ...
On the Equivalence of the Edge/Isolate and Edge/Concurrent Tie ERGM Families, and Their Extensions [0.03%]
关于边缘/隔离和边缘/并发纽带ERGM族的等价性及其扩展
Carter T Butts
Carter T Butts
Partnership concurrency is a major driver of permeability of social networks to diffusion, and an important modeling target in the context of sexually transmitted infections. A seemingly unrelated phenomenon of concern in modeling social ne...
A Novel Simulation Method for Binary Discrete Exponential Families, with Application to Social Networks [0.03%]
一种新的二元离散指数家族模拟方法及其在社交网络中的应用研究
Carter T Butts
Carter T Butts
Stochastic models for finite binary vectors are widely used in sociology, with examples ranging from social influence models on dichotomous behaviors or attitudes to models for random graphs. Exact sampling for such models is difficult in t...
A FLEXIBLE PARAMETERIZATION FOR BASELINE MEAN DEGREE IN MULTIPLE-NETWORK ERGMS [0.03%]
多重网络ERGMs中基线平均度参数的灵活设定方法
Carter T Butts,Zack W Almquist
Carter T Butts
The conventional exponential family random graph model (ERGM) parameterization leads to a baseline density that is constant in graph order (i.e., number of nodes); this is potentially problematic when modeling multiple networks of varying o...
Generative Models of Segregation: Investigating Model-Generated Patterns of Residential Segregation by Ethnicity and Socioeconomic Status [0.03%]
隔绝现象生成模型：通过模型生成的种族和经济社会地位隔离模式进行研究
Mark Fossett
Mark Fossett
This paper considers the potential for using agent models to explore theories of residential segregation in urban areas. Results of generative experiments conducted using an agent-based simulation of segregation dynamics document that varyi...
Kenneth A Bollen,Shawn Bauldry
Kenneth A Bollen
Algebraic methods to establish the identification of structural equation models remains a viable option. However, sometimes it is unclear whether the algebraic solution establishes identification. One example is when there is more than one ...