Multiple‐membership multiple‐classification models for social network and group dependences

Multiple-membership multiple-classification models for social network and group dependences

The social network literature on network dependences has largely ignored other sources of dependence, such as the school that a student attends, or the area in which an individual lives. The multilevel modelling literature on school and area dependences has, in turn, largely ignored social networks. To bridge this divide, a multiple-membership multiple-classification modelling approach for join...

Multiple Membership Models for Social Network and Group Dependencies

faculty of psychology and social sciences group of anthropology master thesis in major of anthropology

چکیده پایان نامه (شامل خلاصه، اهداف، روش های اجرا و نتایج به دست آمده): کار جمع آوری گو یش های محلی در سال های اخیر شتاب امیدوار کننده ای به خود گرفته است. شاید از بارزترین اهداف جمع آوری گویش های مختلف، ثبت و ضبط آن، جلوگیری از نابودی و مهمتر از همه حل مشکلات دستوری زبان رسمی باشد. دقت در فرآیند های زبانی گویش های محلی نوع ارتباط مردم نواحی مختلف با پیرامون نشان را به ما نشان خواهد داد. از س...

Test of the Hypothesis That One Group of Dependences is Consistent with Another Group of Dependences

In this paper we describe the basic algorithmic characteristics of the test of the hypothesis that one group of dependences is consistent with another group of dependences for a case when the error disturbances of this data have normal distribution. Unpaired and paired versions are presented. The aim of our work was to find effective algorithms for biomarker identification in mass (MS) or Raman...

Mathematical models for social group behavior

In this paper, we seek to identity how mathematical and economic analysis can be used to gain insights about the mutation of social groups. Group mutability has been studied in multiple domains, with insights generated on significant factors at differing scales. Mathematical modeling enables the simultaneous study of such phenomena, understanding interactions and generating hypotheses for exper...