[必]我已经读过置底版规、参考费率、发文必读公告，并愿意遵守规定： * 如已读过，请填 YES * 如未读过，请读过再重新发文。未填视为未读，一律删文处理并警告。 ────────────────────────────────────── [必]工 作 量：约5000 字(字数不含citation) [必]工作报酬：0.6/字 [必]涉及语言：英文 [必]所属领域：传播(社会网络) [必]文件类型：Writing Sample(硕论) [必]截 稿 日：11/22 [必]应徵期限：11/17 [必]联络方式：[email protected] (请附上相关经历,联络方式及试润一段稿) [必]付费方式：完稿後，三日内ATM转帐 ────────────────────────────────────── [选]工作要求：有相关领域论文润稿经验，熟悉英文writing sample架构(留学使用) 细心，编修使用追踪修订功能 [选]参考段落：The dependence between dyads is one of the distinctive features of social network data, and it is also a key issue of this field. To deal with this problem, the researchers need more complete models. In recent years, with the progress of the statistical methods and the simulate technique of computers, there are more researches lay stress on exponential random graph model (p*) and dynamic model. On one hand, the dependence assumption is the basic concern of exponential random graph model. This model can cope with the relationships between the network configuration and actor’s attributes, and effectively estimate the probability of network configuration. On the other hand, dynamic model can cope with the causal relationship between the network configuration and actor’s attributes. [选]试 译 文：（100-200字，并不超过全文1/10。严禁私下试译。若未提供请勿删除） [选]其他事项：（若未提供请勿删除） ────────────────────────────────────── --

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