diff --git a/network/betweenness.go b/network/betweenness.go
index 412d9910..3493e04b 100644
--- a/network/betweenness.go
+++ b/network/betweenness.go
@@ -102,7 +102,7 @@ func Betweenness(g graph.Graph) map[int]float64 {
 //
 // where \sigma_{st} and \sigma_{st}(v) are number of the shortest paths from s to t.
 // and the subset of those paths containing v respectively.
-func BetweennessWeighted(g graph.CostGraph, p search.ShortestPaths) map[int]float64 {
+func BetweennessWeighted(g graph.CostGraph, p search.AllShortest) map[int]float64 {
 	cb := make(map[int]float64)
 
 	nodes := g.NodeList()
diff --git a/network/distance.go b/network/distance.go
index 0cd10139..ee50b075 100644
--- a/network/distance.go
+++ b/network/distance.go
@@ -18,7 +18,7 @@ import (
 //
 // For directed graphs the incoming paths are used. Infinite distances are
 // not considered.
-func Closeness(g graph.Graph, p search.ShortestPaths) map[int]float64 {
+func Closeness(g graph.Graph, p search.AllShortest) map[int]float64 {
 	nodes := g.NodeList()
 	c := make(map[int]float64, len(nodes))
 	for _, u := range nodes {
@@ -45,7 +45,7 @@ func Closeness(g graph.Graph, p search.ShortestPaths) map[int]float64 {
 //
 // For directed graphs the incoming paths are used. Infinite distances are
 // not considered.
-func Farness(g graph.Graph, p search.ShortestPaths) map[int]float64 {
+func Farness(g graph.Graph, p search.AllShortest) map[int]float64 {
 	nodes := g.NodeList()
 	f := make(map[int]float64, len(nodes))
 	for _, u := range nodes {
@@ -72,7 +72,7 @@ func Farness(g graph.Graph, p search.ShortestPaths) map[int]float64 {
 //
 // For directed graphs the incoming paths are used. Infinite distances are
 // not considered.
-func Harmonic(g graph.Graph, p search.ShortestPaths) map[int]float64 {
+func Harmonic(g graph.Graph, p search.AllShortest) map[int]float64 {
 	nodes := g.NodeList()
 	h := make(map[int]float64, len(nodes))
 	for i, u := range nodes {
@@ -101,7 +101,7 @@ func Harmonic(g graph.Graph, p search.ShortestPaths) map[int]float64 {
 //
 // For directed graphs the incoming paths are used. Infinite distances are
 // not considered.
-func Residual(g graph.Graph, p search.ShortestPaths) map[int]float64 {
+func Residual(g graph.Graph, p search.AllShortest) map[int]float64 {
 	nodes := g.NodeList()
 	r := make(map[int]float64, len(nodes))
 	for i, u := range nodes {
diff --git a/search/dijkstra.go b/search/dijkstra.go
index a738a6cf..2b789bc9 100644
--- a/search/dijkstra.go
+++ b/search/dijkstra.go
@@ -77,7 +77,7 @@ func DijkstraFrom(u graph.Node, g graph.Graph, weight graph.CostFunc) Shortest {
 // DijkstraAllPaths will panic if g has a negative edge weight.
 //
 // The time complexity of DijkstrAllPaths is O(|V|.|E|+|V|^2.log|V|).
-func DijkstraAllPaths(g graph.Graph, weight graph.CostFunc) (paths ShortestPaths) {
+func DijkstraAllPaths(g graph.Graph, weight graph.CostFunc) (paths AllShortest) {
 	var (
 		from   = g.Neighbors
 		edgeTo func(graph.Node, graph.Node) graph.Edge
@@ -108,7 +108,7 @@ func DijkstraAllPaths(g graph.Graph, weight graph.CostFunc) (paths ShortestPaths
 	for i := range dist {
 		dist[i] = math.Inf(1)
 	}
-	paths = ShortestPaths{
+	paths = AllShortest{
 		nodes:   nodes,
 		indexOf: indexOf,
 
diff --git a/search/dijkstra_test.go b/search/dijkstra_test.go
index 48dec7ca..0fdeb8bc 100644
--- a/search/dijkstra_test.go
+++ b/search/dijkstra_test.go
@@ -103,7 +103,7 @@ func TestDijkstraAllPaths(t *testing.T) {
 		}
 
 		var (
-			pt search.ShortestPaths
+			pt search.AllShortest
 
 			panicked bool
 		)
diff --git a/search/floydwarshall.go b/search/floydwarshall.go
index deaab2b6..a5a07e42 100644
--- a/search/floydwarshall.go
+++ b/search/floydwarshall.go
@@ -16,7 +16,7 @@ import (
 // implement graph.Coster, UniformCost is used.
 //
 // The time complexity of FloydWarshall is O(|V|^3).
-func FloydWarshall(g graph.Graph, weight graph.CostFunc) (paths ShortestPaths, ok bool) {
+func FloydWarshall(g graph.Graph, weight graph.CostFunc) (paths AllShortest, ok bool) {
 	var (
 		from   = g.Neighbors
 		edgeTo func(graph.Node, graph.Node) graph.Edge
@@ -47,7 +47,7 @@ func FloydWarshall(g graph.Graph, weight graph.CostFunc) (paths ShortestPaths, o
 	for i := range dist {
 		dist[i] = math.Inf(1)
 	}
-	paths = ShortestPaths{
+	paths = AllShortest{
 		nodes:   nodes,
 		indexOf: indexOf,
 
diff --git a/search/johnson_apsp.go b/search/johnson_apsp.go
index 78280ea0..dafac225 100644
--- a/search/johnson_apsp.go
+++ b/search/johnson_apsp.go
@@ -16,7 +16,7 @@ import (
 // If weight is nil and the graph does not implement graph.Coster, UniformCost is used.
 //
 // The time complexity of JonsonAllPaths is O(|V|.|E|+|V|^2.log|V|).
-func JohnsonAllPaths(g graph.Graph, weight graph.CostFunc) (paths ShortestPaths, ok bool) {
+func JohnsonAllPaths(g graph.Graph, weight graph.CostFunc) (paths AllShortest, ok bool) {
 	jg := johnsonWeightAdjuster{
 		g:      g,
 		from:   g.Neighbors,
diff --git a/search/shortest.go b/search/shortest.go
index ae40b7e9..2ba2561b 100644
--- a/search/shortest.go
+++ b/search/shortest.go
@@ -102,8 +102,8 @@ func (p Shortest) To(v graph.Node) (path []graph.Node, weight float64) {
 	return path, p.dist[p.indexOf[v.ID()]]
 }
 
-// ShortestPaths is a shortest-path tree created by the FloydWarshall function.
-type ShortestPaths struct {
+// AllShortest is a shortest-path tree created by the FloydWarshall function.
+type AllShortest struct {
 	// nodes hold the nodes of the analysed
 	// graph.
 	nodes []graph.Node
@@ -138,16 +138,16 @@ type ShortestPaths struct {
 	forward bool
 }
 
-func (p ShortestPaths) at(from, to int) (mid []int) {
+func (p AllShortest) at(from, to int) (mid []int) {
 	return p.next[from+to*len(p.nodes)]
 }
 
-func (p ShortestPaths) set(from, to int, weight float64, mid ...int) {
+func (p AllShortest) set(from, to int, weight float64, mid ...int) {
 	p.dist.Set(from, to, weight)
 	p.next[from+to*len(p.nodes)] = append(p.next[from+to*len(p.nodes)][:0], mid...)
 }
 
-func (p ShortestPaths) add(from, to int, mid ...int) {
+func (p AllShortest) add(from, to int, mid ...int) {
 loop: // These are likely to be rare, so just loop over collisions.
 	for _, k := range mid {
 		for _, v := range p.next[from+to*len(p.nodes)] {
@@ -160,7 +160,7 @@ loop: // These are likely to be rare, so just loop over collisions.
 }
 
 // Weight returns the weight of the minimum path between u and v.
-func (p ShortestPaths) Weight(u, v graph.Node) float64 {
+func (p AllShortest) Weight(u, v graph.Node) float64 {
 	from, fromOK := p.indexOf[u.ID()]
 	to, toOK := p.indexOf[v.ID()]
 	if !fromOK || !toOK {
@@ -173,7 +173,7 @@ func (p ShortestPaths) Weight(u, v graph.Node) float64 {
 // one shortest path exists between u and v, a randomly chosen path will be returned and
 // unique is returned false. If a cycle with zero weight exists in the path, it will not
 // be included, but unique will be returned false.
-func (p ShortestPaths) Between(u, v graph.Node) (path []graph.Node, weight float64, unique bool) {
+func (p AllShortest) Between(u, v graph.Node) (path []graph.Node, weight float64, unique bool) {
 	from, fromOK := p.indexOf[u.ID()]
 	to, toOK := p.indexOf[v.ID()]
 	if !fromOK || !toOK || len(p.at(from, to)) == 0 {
@@ -226,7 +226,7 @@ func (p ShortestPaths) Between(u, v graph.Node) (path []graph.Node, weight float
 
 // AllBetween returns all shortest paths from u to v and the weight of the paths. Paths
 // containing zero-weight cycles are not returned.
-func (p ShortestPaths) AllBetween(u, v graph.Node) (paths [][]graph.Node, weight float64) {
+func (p AllShortest) AllBetween(u, v graph.Node) (paths [][]graph.Node, weight float64) {
 	from, fromOK := p.indexOf[u.ID()]
 	to, toOK := p.indexOf[v.ID()]
 	if !fromOK || !toOK || len(p.at(from, to)) == 0 {
@@ -245,7 +245,7 @@ func (p ShortestPaths) AllBetween(u, v graph.Node) (paths [][]graph.Node, weight
 	return paths, p.dist.At(from, to)
 }
 
-func (p ShortestPaths) allBetween(from, to int, seen []bool, path []graph.Node, paths [][]graph.Node) [][]graph.Node {
+func (p AllShortest) allBetween(from, to int, seen []bool, path []graph.Node, paths [][]graph.Node) [][]graph.Node {
 	if p.forward {
 		seen[from] = true
 	} else {