neighborhood(sna)
neighborhood()所属R语言包：sna
Compute Neighborhood Structures of Specified Order
计算邻域结构的指定顺序
译者：生物统计家园网 机器人LoveR
描述----------Description----------
For a given graph, returns the specified neighborhood structure at the selected order(s).
对于一个给定的图，在选定的顺序（S）返回指定的邻域结构。
用法----------Usage----------
neighborhood(dat, order, neighborhood.type = c("in", "out", "total"),
mode = "digraph", diag = FALSE, thresh = 0, return.all = FALSE,
partial = TRUE)
参数----------Arguments----------
参数：dat
one or more graphs.
一个或多个图形。
参数：order
order of the neighborhood to extract.
顺序提取的附近。
参数：neighborhood.type
neighborhood type to employ.
邻里型采用。
参数：mode
"digraph" if dat is directed, otherwise "graph".
"digraph"如果dat的指示，否则"graph"。
参数：diag
logical; do the diagonal entries of dat contain valid data?
逻辑做的对角元素dat包含有效的数据？
参数：thresh
dichotomization threshold to use for dat; edges whose values are greater than thresh are treated as present.
dat;边缘，其值大于thresh目前被视为使用二分法阈值。
参数：return.all
logical; return neighborhoods for all orders up to order?
逻辑返回街区的所有订单到order？
参数：partial
logical; return partial (rather than cumulative) neighborhoods?
逻辑返回部分（而不是累计）的社区吗？
Details
详细信息----------Details----------
The adjacency matrix associated with the ith order neighborhood is defined as the identity matrix for order 0, and otherwise depends on the type of neighborhood involved. For input graph G=(V,E), let the base relation, R, be given by the underlying graph of G (i.e., G U G^T) if total neighborhoods are sought, the transpose of G if incoming neighborhoods are sought, or G otherwise. The partial neighborhood structure of order i>0 on R is then defined to be the digraph on V whose edge set consists of the ordered pairs (j,k) having geodesic distance i in R. The corresponding cumulative neighborhood is formed by the ordered pairs having geodesic distance less than or equal to i in R.
与相关联的邻接矩阵i阶邻域被定义为0阶的单位矩阵，并以其他方式取决于所涉及的类型的附近。输入图G=(V,E)，让碱基的关系，R，底层的图G（即G U G^T）如果总邻里要求，在转G如果传入的社区，或寻求G否则。为了局部邻域结构i>0R被定义为有向图上V的边集组成的有序对(j,k)测地距离i 中R。相应的累积分数：形成由有序对具有测地距离小于或等于i在R。
Neighborhood structures are commonly used to parameterize various types of network autocorrelation models. They may also be used in the calculation of certain types of local structural indices; gapply provides an alternative function which can be used for this purpose.
邻域结构常用到各类网络自相关模型的参数。它们也可以用在某些类型的局部结构指数的计算;gapply提供了一种替代的功能，可用于这一目的。
值----------Value----------
An array or adjacency matrix containing the neighborhood structures (if dat is a single graph); if dat contains multiple graphs, then a list of such structures is returned.
含有的邻域结构（如果dat是一个单一的图形）;如果dat包含多个图形，然后这种结构的列表，返回一个数组或邻接矩阵。
（作者）----------Author(s)----------
Carter T. Butts <a href="mailto:buttsc@uci.edu">buttsc@uci.edu</a>
参见----------See Also----------
gapply, nacf
gapply，nacf
实例----------Examples----------
#Draw a random graph[绘制一个随机的图形]
g<-rgraph(10,tp=2/9)
#Show the total partial out-neighborhoods[显示全部偏出社区]
neigh<-neighborhood(g,9,neighborhood.type="out",return.all=TRUE)
par(mfrow=c(3,3))
for(i in 1:9)
gplot(neigh[i,,],main=paste("Partial Neighborhood of Order",i))
#Show the total cumulative out-neighborhoods[累计总出社区]
neigh<-neighborhood(g,9,neighborhood.type="out",return.all=TRUE,
partial=FALSE)
par(mfrow=c(3,3))
for(i in 1:9)
gplot(neigh[i,,],main=paste("Cumulative Neighborhood of Order",i))
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-9-30 10:56:46
