### Table 1: AS Graph Statistics

2002

"... In PAGE 2: ... in the Oregon-based AS graphs [3]. We compare the Oregon-based AS graph ( Table1 , first row) against our more complete AS graph (Table 1, last row). In Figure 2 we plot the complementary cumulative distribu- tion function of the AS degree.... In PAGE 2: ... in the Oregon-based AS graphs [3]. We compare the Oregon-based AS graph (Table 1, first row) against our more complete AS graph ( Table1 , last row). In Figure 2 we plot the complementary cumulative distribu- tion function of the AS degree.... ..."

Cited by 89

### Table 2: AS graph statistics

"... In PAGE 3: ... The data collection period is again late May 2001. While this graph has about the same number of ASs as the Oregon AS graph, Table2 ( rst column) shows that it has about 40% more links than the Oregon AS graph. Realizing that both of these AS graphs exhibit qualitatively the same power-law type node degree distribution (e.... In PAGE 3: ... The provider-customer (or prov-cust, for short) subgraph con- tains only provider-customer links (along with their incident ASs), while the peer-to-peer subgraph consists of peer-to- peer links only (and all their incident ASs).5 Table2 pro- vides details on these subgraphs (or their largest connected components). Fig.... ..."

### TABLE I AS GRAPH STATISTICS

2002

Cited by 68

### TABLE I AS GRAPH STATISTICS

2002

Cited by 68

### Table 1. Dependency graph statistics.

2003

"... In PAGE 3: ... An (artificial) example illustrating this is provided by the TRS consisting of the rules f(a; b) ! f(f(a; a); f(b; b)) and g(x) ! x. Table1 lists all examples in [2] and Sections 3 and 4 of [5] where the new estimations make a difference. References 1.... ..."

Cited by 4

### Table 1. Dependency graph statistics.

in Preface

2003

"... In PAGE 16: ... An (artificial) example illustrating this is provided by the TRS consisting of the rules f(a; b) ! f(f(a; a); f(b; b)) and g(x) ! x. Table1 lists all examples in [2] and Sections 3 and 4 of [5] where the new estimations make a difference. References 1.... In PAGE 62: ... In 95% of the cases the analysis was either powerful enough to prove termination for terminating computations, or justly suspected possibility of non-termination. Results of the experimental evaluation are summarised in Table1 . Times were measured on Intel R ADPentium R AD4 with 1.... In PAGE 62: ... Type inference of Janssens and Bruynooghe [14] was implemented in MasterProLog [13]. Table1 . Experimental evaluation Reference Number of Success Maximal examples rate time Symbolical computations Apt and Pedreschi [2] 12 100% 0.... ..."