0.6字傳播(社科)論文潤稿 - 潤稿

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[必]工 作 量：約5000 字(字數不含citation)
[必]工作報酬：0.6/字
[必]涉及語言：英文
[必]所屬領域：傳播(社會網絡)
[必]文件類型：Writing Sample(碩論)
[必]截 稿 日：11/22
[必]應徵期限：11/17
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細心，編修使用追蹤修訂功能
[選]參考段落：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.
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