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📄 itm-doc.txt

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$Id: itm-doc.txt,v 1.1 1996/10/04 13:29:13 ewz Exp $Name: itm Function:  Driver to create flat random graphs and two forms	   of hierarchical graphs (N-level and transit-stub).	   See models.ps for a more complete description of	   the methods.  This file describes the syntax and	   (limited) semantics of the parameter specification file.Usage:  itm <spec-file0> <spec-file1> ....Details:File Format-----------        Each argument is a file containing ONE set of specs for     graph generation.  Such a file has the following format:       [# comment line]       <method keyword> <number of graphs> [<initial seed>]       <method-dependent parameter lines>    <method keyword> is one of:	"geo":  flat random graph         "hier": N-level hierarchical graph	"ts":   transit-stub graph    <number of graphs>: number of graphs of specified type to generate    <initial seed>: initial random number seed; optional    Any line preceeded by # is a comment and is ignored by itm.Method-dependent Parameters---------------------------    All of the methods make use of the following <geo_parms>    line, which specifies the parameters for a flat random    graph.  Six different types of flat random graphs are supported.    (See models.ps for more detail on parameters and edge    generation methods.)    <geo_parms> ::= <n> <scale> <edgemethod> <alpha> [<beta> <gamma>]       <n>: number of nodes in graph       <scale>: one-sided dimension of space in which nodes are distributed       <edgemethod>: method for generating edges; valid range 1..6		1: Waxman 1 		2: Waxman 2		3: Pure random		4: Doar-Leslie		5: Exponential		6: Locality	<alpha>: random graph parameter (0.0 <= alpha <= 1.0)	<beta>: random graph parameter (0.0 <= beta)	<gamma>: random graph parameter (0.0 <= gamma)   The <method-dependent parameter lines> are as follows:     <"geo" parms> ::= <geo_parms>   <"hier" parms> ::= <number of levels> <edgeconnmethod> <threshold>                      <geo_parms>+  {one per number of levels}	<number of levels>: number of levels in hierarchy	<edgeconnmethod>: method of resolving edges  		(NOTE: probably should just use method 0)		0: random		1: use non-leaf node of smallest degree 	 	2: use node of smallest degree		3: use first node with degree less than <threshold> 	<threshold>: see above    <"ts" parms> ::= <# stubs/xit> <#t-s edges> <#s-s edges>                    <geo_parms>       {top-level parameters}                    <geo_parms>       {transit domain parameters}                    <geo_parms>       {stub domain parameters}	<# stubs/xit>: avg number of stub domains attached per transit node	<#t-s edges>: number of extra transit-stub edges	<#s-s edges>: number of extra stub-stub edgesOutput File Naming Convention:------------------------------	    The i'th graph created with the parameters from file "arg" is placed    in file "arg-i.gb", where the first value of i is zero.Example of Usage:-----------------The following is a valid specification file called r10:	# <method keyword> <number of graphs> [<initial seed>]	# <n> <scale> <edgemethod>  <alpha> [<beta>] [<gamma>]	geo 3 	10 10 3 .2 If we run 'itm r10' then three pure random graphs of 10 nodeseach will be created.  The nodes of each graph will be generatedin a 10 by 10 (logical) grid.  The probability of an edge is 0.2, asgiven by the <alpha> parameter; <beta> and <gamma> are not neededfor this method.  The output files will be named: r10-0.gb, r10-1.gb, r10-2.gb.  (This specification file and the resulting output filescan be found in sample-graphs/rand/r10.)Another Example of Usage:-------------------------The following is a valid specification file called t100:        # <method keyword> <number of graphs> [<initial seed>]	# <# stubs/xit> <#t-s edges> <#s-s edges>	# <n> <scale> <edgemethod> <alpha> [<beta>] [<gamma>]	# number of nodes = 1x4x(1+3x8) = 100	ts 10 47	3 0 0	1 20 3 1.0	4 20 3 0.6	8 10 3 0.42	If we run 'itm t100', then 10 transit-stub graphs of 100 nodes eachwill be created, starting with initial seed 47.  Each graph will havethree stub domains per transit node, with no extra transit-stubor stub-stub edges.  The line "1 20 3 1.0" says that therewill be one transit domain.  The next line "4 20 3 0.6" specifiestransit domains have (on average) four nodes, and an edge between eachpair of nodes with probability 0.6.  The last line "8 10 3 0.42" saysthat each stub domain will have (on average) eight nodes, and edgeprobability 0.42.  The graphs will be named t100-[0-9].gb.

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