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寻找人类传播行为可计算化的基因.

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计算传播网 | computational-communication.com Reviews

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寻找人类传播行为可计算化的基因.

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1

计算传播学讲义一:网络增长动力学 – 计算传播网

https://computational-communication.com/category/计算传播学讲义

Barabasi 和 Albert 提出了网络增长的优先链接 preferential attachment 模型. 一年之后,Dorogovstev, Mendes 和 Samukhin ( 2000. 使用另一种叫做主方程的方法 master equation 获得了BA模型度分布的严格表达。 本文的介绍参考了Daron Acemoglu 和 Asu Ozdaglar 的 讲义. 在网络中,我们定义以下几个量 n是网络中节点的数量 k是节点的度 m是每个节点携带的常数连边数量 p k是网络中度为k的节点的比例 p k,n是当网络中有n个节点时,网络中度为k的节点的比例。 Frac{k}{ sum {k=1} {k {max} k}n p k = frac{k}{ frac{1}{n} sum {k=1} {k {max} k}p k= frac{k}{2m}p k. , , , , , (1). M frac{k}{2m}p k= frac{k}{2}p k. , , , , , (2). P k = frac{2m(m 1)}{k(k 1)(k 2)}. , , , , , (11). P k =...

2

文本挖掘基础:使用openNLP进行词性标注 – 计算传播网

https://computational-communication.com/category/文本挖掘

这也不太难,根据R文档对Maxent POS Tag Annotator的介绍中的例子重新组合一下,就可以得到。 Run tagPOS function for a list of texts # do so to facilitate the conversion to generate corpus for topic modeling run pos = function(n){ cat("R is running for part-of-speech tagging", n, as.character(as.POSIXlt(Sys.time(), "Asia/Shanghai") , sep = " n") df = tagPOS(text[n]) nn = (df$term[which(df$tag = "NN")]) vb = (df$term[which(df$tag = "VB")]) nnvb = (c(nn, vb) result = list(nn, vb, nnvb) return(result) }. Latest posts by 编辑 ( see all.

3

PageRank算法浅介 – 计算传播网

https://computational-communication.com/tags/pagerank

PR(A)= PR(B) PR(C) PR(D)$ 繼續假設B也有連結到C,並且D也有連結到包括A的3個頁面。 PR(A)= frac{PR(B)}{2} frac{PR(C)}{1} frac{PR(D)}{3}$ 換句話說,根據鏈出總數平分一個頁面的PR值。 PR(A)= frac{PR(B)}{L(B)} frac{PR(C)}{L(C)} frac{PR(D)}{L(D)}$ 最後,所有這些被換算為一個百分比再乘上一個係數d。 由於 沒有向外連結的頁面 傳遞出去的PageRank會是0,所以,Google通過數學系統給了每個頁面一個最小值(1 – d)/N。 其逻辑是对于网页A, 用户以d的概率随机选择这个网页A浏览 而以剩下的 1 – d /N的概率从每一个网页跳转到这个网页A,具体如下. PR(A)= left( frac{PR(B)}{L(B)} frac{PR(C)}{L(C)} frac{PR(D)}{L(D)} , cdots right) d frac{1 – d}{N}$. 我们用PR表示网页排名 page rank, pr。 PR(B) PR(C) PR(B) = 0.5.

4

Python统计可视化库Seaborn – 计算传播网

https://computational-communication.com/tags/python

原链接 http:/ nbviewer.jupyter.org/github/yihongfa/pythondata/blob/master/Seaborn.ipynb. Latest posts by 易红发 ( see all. 2 thoughts on “ Python统计可视化库Seaborn. To create code blocks or other preformatted text, indent by four spaces:. This will be displayed in a monospaced font. The first four. Spaces will be stripped off, but all other whitespace. Markdown is turned off in code blocks:. This is not a link](http:/ example.com). To create not a block, but an inline code span, use backticks:.

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Scihub.py是一个sci-hub.cc的非官方的python接口,可以在实现从谷歌学术搜索论文并从sci-hub.cc下载论文的操作。 A robust way to calculate confidence intervals for machine learning algorithms is to use the bootstrap. This is a general technique for estimating statistics. 本文介绍Emden Gansner, Yifan Hu, Stephen Kobourov三人所发展的GMap方法,将网. 在Limits of Predictability in Human Mobility一文 Song, 2010, Science 当中,Song等人提出人类移动行为的可预测性问题。 基于此,南京大学新闻传播学院、百度、社会媒体处理专业委员会以及香港城市大学传播研究中心/互联网挖掘实验室拟共同举办2017年计算传播学年会暨工作坊 南京,9月22-9月24日 ,包括一天半工作坊 一天会议。

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