Important questions in the social sciences are concerned with the circumstances under which individuals, organizations, or states mutually agree to form social network ties. Examples of these coordination ties are found in such diverse domains as scientific collaboration, international treaties, and romantic relationships and marriage. This article introduces dynamic network actor models (DyNAM) for the statistical analysis of coordination networks through time. The strength of the models is that they explicitly address five aspects about coordination networks that empirical researchers will typically want to take into account: (1) that observations are dependent, (2) that ties reflect the opportunities and preferences of both actors involved, (3) that the creation of coordination ties is a two-sided process, (4) that data might be available in a time-stamped format, and (5) that processes typically differ between tie creation and dissolution (signed processes), shorter and longer time windows (windowed processes), and initial and repeated creation of ties (weighted processes). Two empirical case studies demonstrate the potential impact of DyNAM models: The first is concerned with the formation of romantic relationships in a high school over 18 months, and the second investigates the formation of international fisheries treaties from 1947 to 2010.

中文翻译：

---

动态网络参与者模型：调查随时间变化的协调关系

社会科学中的重要问题与个人、组织或国家相互同意形成社会网络联系的情况有关。这些协调关系的例子可以在科学合作、国际条约、浪漫关系和婚姻等不同领域找到。本文介绍了动态网络参与者模型 (Dynam)，用于通过时间对协调网络进行统计分析。这些模型的优势在于它们明确地解决了实证研究人员通常希望考虑的协调网络的五个方面：（1）观察是依赖的，（2）联系反映了所涉及的两个参与者的机会和偏好，（ 3) 协调关系的建立是一个双向的过程，(4) 数据可能以时间戳格式提供，以及 (5) 关系创建和解散（签名过程）、较短和较长时间窗口（窗口过程）以及关系的初始和重复创建之间的过程通常不同（加权过程）。两个实证案例研究证明了 Dynam 模型的潜在影响：第一个是关于在高中 18 个月内形成浪漫关系，第二个是调查 1947 年至 2010 年国际渔业条约的形成。