A UNIFIED APPROACH
OF VALUES FOR GAMES ON UNION STABLE SYSTEMS
A UNIFIED APPROACH
OF VALUES FOR GAMES ON UNION STABLE SYSTEMS
E. Algaba
Department of Applied Mathematics II and
Mathematics Research Institute of Seville University
Algaba E, Bilbao JM, Borm P, López JJ (2000) The position value for union stable systems. Math. Meth. Oper. Res. 52:221-236
Algaba E, Bilbao JM, Borm P, López JJ (2001) The Myerson value for union stable structures. Math. Meth. Oper. Res. 54:359-371
Algaba E, Bilbao JM, Brink R van den, López JJ (2012) The Myerson value and superfluous supports on union stable systems. JOTA 155:650- 668
Algaba E, Bilbao JM, Brink R van den (2015) Harsanyi power solutions for games on union stable systems. ANOR 225:27-44
9 Union stable systems
9 Restricted and conference games
9 Myerson and position values
9 Characterizations
9 Harsanyi power solutions
9 Characterizations
9 Union stable systems
9 Restricted and conference games
9 Myerson and position values
9 Characterizations
9 Harsanyi power solutions
9 Characterizations
( )
/
M
Rectricted game by a communication graph
yerson (
value
, ( )
: 2
( )
, ( , )
),
i
N
i S S G
G
G G
G
N v v
v S
v S
N v,E N v
∈
•
•
⎯⎯→
=
= Φ
∑
μ
R
COMMUNICATION SITUATION
( , , )N v E ( , ), N v G = ( , )N E
Myerson (1977)
Graphs and Cooperation in Games
•Myerson (1977),
•Owen (1986)
•Borm, Owen and Tijs (1992)
•Van den Nouweland, Borm, Tijs (1992)
( )
-A1.
A
A set system , is if
For , with , we have
2.
N
S T S T S
sta e
T bl
∅ ∈
∈ ∩ ≠ ∈
∪
∅ ∪
F F
F F
Comunication situations
( , , )N v E
Union stable cooperation structures ( , , )N v F
{1, 2,3, 4,5}
{{5},{2,3},{2,3, 4},{3, 4,5},{2,3, 4,5}}
Example
N=
= F
{5}
{3, 4,5}
{2,3, 4,5}
{2,3, 4}
{2,3}
4
5 3
2
(F ,⊆)
{ , ,3, 4}
{{ , ,3},{ , , 4},{ , ,3, 1
1 1 1
1 /
2
2 2 2
2 / Stage
4}}
3, 4 / Bu S
ag el
ent yer
e s l r
Example
N=
= F
(F ,⊆)
{1,2,3} {1,2,4}
{ , ,1 2 3,4}
4 1 2
3
⊆ F G
{ }
(0)
( ) ( 1)
(0) ( )
( 1) ( )
( )
: , ,
If is the smallest integer such that ( )=
( ) is a union stable system
n n
n
k k
k
S T S T S T
k
SG SG
−
+
=
= ∪ ∈ ∩ ≠ ∅
⊆ ⊆ ⊆ ⊆
=
G G
G G
G G F
G G
G G
G
( )
( )
1
2
{{1,2},{2,3},{2,4}}
{{1,2},{2,3},{2,4},{1,2,3},{1,2,4},{
{1,2,3,4}
{{1},{3},{1,2},{2,3},{2,4},{1,2,3},{1,2,4},{2,3,4}, }
{{1,2},{2,3},{2,4},{1,2,3},{1,2,4},{2,3,4}}
Example
N= N
⊆
=
=
=
=
F
F
G
G G
( ) ( )
( )
( )2 3
2
2,3,4}, }
{{1,2},{2,3},{2,4},{1,2,3},{1,2,4},{2,3,4}, } N
SG = N
=
=
G G
G
G( ) ( ) ( ) ( ) ( )
( ( ) ) ( )
( )
( )
is a closure operator ( )
( )
( ) ,
is a closure space
is a closed set is a union stable system
:2 2 , = = :2 2
2
2 ,
2 , ,
a b c
SG
N
ϕ ϕ
ϕ
ϕ
ϕ ϕ
ϕ ϕ ϕ
→
→
∀ ⇒
⇒
∀ =
⇔
∈ ⊆
⊆ ⊆ ⊆
∈
−
∈
F F
F F
F
F
F
G G G
G G G
G R F G R
G G G
F
G G
( N , F )
union stable system{ }
( ) : , , , , ,
( ) su
pport
Basis of
( ) \ ( )
D F F A B A B F A B
B B
A B
B D
= ∈ = ∪ ≠
∈
∈ ∩ ≠ ∅
=
F F
F F
F
F F F
{1,2,3,4}
{{1},{2},{3},{4},{1,2},{1,3},{3,4}, {1,2,3},{1,3,4},{2,3,4},{1,2,3,4}}
( ) {{1},{2},{3},{4},{1,2},{1,3},{
E
3,4},{2 xampl
, e
3,4}}
N
B
=
=
= F
F
( ) ( )
{ }
( ) { { } { } } { { } }
cooperation structure
: , ( ) connected subgraph of ,
, : , :
( , , ) -
S N S E S N E
i
stab
j i j E i
e
i l
N
N v E
∪
= ⊆
∈ ∈
∪
= F
B F
•Myerson (1977),
•Owen (1986)
•Borm, Owen and Tijs (1992)
•Van den Nouweland, Borm, Tijs (1992)
C o m u n ic a tio n s itu a tio n s
( N v E, , )
U n io n s ta b le c o o p e ra tio n s tru c tu re s ( N v, , F )
•Myerson (1977),
•Owen (1986)
•Borm, Owen and Tijs (1992)
•Van den Nouweland, Borm, Tijs (1992)
Comunication situations
( , , )N v E
Union stable cooperation structures ( , , )N v F
( {{1,2},{1,3},{3,4},{2,3,4}}
{1,2,3,4}
{{1,2},{1,3},{3,4},{1,2,3},{1,3,4},{2,3,4}, }
{3,4} {2
)
Example
N
= N
=
=
⊆ F
B F
,3,4}
{ }
Propositi
( ) is the minimal subset of such that on
Proposition
( ( ))
( )= : \ is union stable basis of
(
( ) ( ) )
B SG B
ex F F
B
B ex
=
∈
=
F F F F
F F F F
F F
F
(
N,F)
, S ⊆ N-com ponent of :
and there exists no ´ , ´
T S S
T T T T S
⊆
∈ ∈ ⊂ ⊆
F
F F
( , ) U-stable , ( ) partition of ' Proposition
N F ⇔ S ⊆ N CF S S ⊆ S
(
N,F)
union stable system, S ⊆ N{ }
( ) ( )
{ }
=
) ) )
( ) ( )
:
( ) ( , ) is a union stable system
( ( : (
S
S
S
S
S N
b C C
c
F F S
a N
B B S
= ⊆
= ⊆
∈ ⊆
∈ ⊆
F F
F F F
F
B F B F B F
Proposition
(
,)
, with 2, we have
satisfying:
(1) For all
(2) all non-unitary feasible coalition can be expressed in a unique way as union of non-unitary
supports
N N
N
S T
S T S T
USI ⊆US
∈ ∩ ≥ ∩ ∈
F
F F
Example { }
{ } { } { }
{ }
{ } { } { }
{ }
1,2,3,4
1,2 , 1,2,3 , 2,3,4 , 1,2 , 1,2,3 , 2,3,4
N
N
=
= =
=
F
B C
{ } { } { }
{ } { } { } { }
1,2,3 2,3,4 2,3
1,2 2,3,4 = 1,2,3 2,3,4
N
∩ = ∉
∪ ∪
=
F
, USI
N⎛
N v,
⎞⎜ ⎟
⎝
F
⎠∉
(
,)
, with 2, we have
satisfying:
(1) For all
(2) all non-unitary feasible coalition can be expressed in a unique way as union of non-unitary
supports
N N
N
S T
S T S T
USI ⊆ US
∈ ∩ ≥ ∩ ∈
F
F F
2 2 2
{ , ,3} { , ,4} { , }1 1 1
∩ = ∉ F
, USI
N⎛
N v,
⎞⎜ ⎟
⎝
F
⎠∉
{ , ,3, 4}
{{ , ,3},{ ,
1 2 2 2, 4
1 1 },{ , ,3 4}1 2 , }
Example
N=
= F
2/ Stage agen 1/
3,4/
S B
t u
eller yers
4 1 2
(F,⊆)
3 {1,2,3} {1,2,4}
{ , ,123,4}
RESTRICTED GAME
( )
: 2 ,
( ) ( )
N
T C S
v
v S v T
∈
⎯ ⎯→
=
∑
F
F F
R
CONFERENCE GAME
( )
( )
{ }
2
:
, conference gam e
-stable cooperation structure
, ( )
,
( ) ( )
: 2 ,
C C
N v , v
N v ,
v v N
v
≥
⎯ ⎯→
= ∈
→
⊆ → ∪
=
C
C A
C C
C C
C A
F
A C
R
AMYERSON VALUE
( N v, , ) (
N v,)
μ
F
= Φ FCONFERENCE GAME
( )
( )
, conference game
-stable cooperation structure
, ( )
,
( ) ( )
:2 ,
N v, v
N v,
v v N
v ⎯⎯→
→
⊆ → ∪
=
C
C A
C C
C A F
A C
R A POSITION VALUE
( ) ( )
{ }
1 , if
0, otherwise
:
, C i C , i
i
i
C v
C i C
π N v, ∈ Φ ≠ ∅
=
= ∈ ∈
⎧⎪
⎨⎪
⎩
∑
CC
C C
C C
F
RESTRICTED GAME
( )
( )
: 2 ,
( )
T C S N
v T v
v S
∈
⎯ ⎯→
= ∑
F
F F
R
{ , ,3, 4}
{{ , ,3},{ , , 4},{
1
1 1 1
2
2 2 , ,3, 4}}, 2 {{ , ,1 2 3},{ ,1 2, 4}}
Example
N=
=
F B = =C
2/ Stage agen 1/
3,4/
S B
t u
eller
yers
( ) ( )
1 if
( ) 0 o th e rw is e
1, 0
S S
v S
v S S v
⎧⎪⎨
⎪⎩
− ∈
=
= − ∅ =
F F
( )
{ , , 3} { , , 3} { , , 3}
{ ,
( ) ( )
{ 1 } { 1 } { 1 } 2
{ 1 , 4}} { 1{ , , 4} } { 1{ , } 2
{
, 4}
{ ,1 , 3} ,{ , , 4}1 } { 1{ , , 3} 1 2
1 } { 1 } 3
,{ , , 4} ,{ , , 3, 4} { , ,
2 2
2 2 2
2 2 2 2 2 2 3 4},
1 3 1 3 5 5
, , , , ,
1 2 1 2 1 1
2 2
C N v
μ
N v ⎛⎜⎜⎝ ⎞⎟⎟⎠⊆
=
C
A C A A A
F
( )
, , 1,1, ,1 1 N v 2 2
π ⎛⎜⎜ ⎞⎟⎟
⎝ ⎠
F =
4 1 2
(F,⊆)
3 {1,2,3} {1,2,4}
{ , ,123,4}
Theorem
( )
( )
( ) ( )
{ }
, , ,
= C :
Let be a union stable cooperation structure and the associated conference game. Then
where
N v
S C S
v v
v
∈ ⊆
=
SS
F C
C
F C
C
C C
RESTRICTED GAME
( )
( )
: 2 ,
( )
T C S N
v T v
v S
∈
⎯ ⎯→
= ∑
F
F F
R
CONFERENCE GAME
( )
( )
, conference game
-stable cooperation structure
, ( )
,
( ) ( )
:2 ,
N v, v
N v,
v v N
v ⎯⎯→
→
⊆ → ∪
=
C
C A
C C
C A F
A C
R A
( ) { ( ) ( ) ( ) ( ) }
( ) ( )
( )
( )
: , ,
Bondareva (1963), Shapley (1967):
A game , is balanced if and only if A game , is superadditive if
( ) ( ) ( ), , 2 ,
A game , is conve
n
N
C v x x N v N x S v S S N
N v C v
N v
v S T v S v T S T S T N v
• = ∈ = ≥ ∀ ⊂
•
≠ ∅
•
∪ ≥ + ∀ ∈ ∩ = ∅
•
R
x if
( ) ( ) ( ) ( ), , 2N
v S ∪T + v S ∩T ≥ v S + v T ∀S T ∈
Theorem
( )
( )
( )
, , ,
,
Let be a union stable cooperation structure. If non-negative and balanced, then is balanced
N v
N
v v
C F
F C
Theorem
( )
( )
( )
, , ,
,
Let be a union stable cooperation structure. If
non-negative and superadditive, then is superadditive
N v
N
v v
C F
F C
Theorem
( )
( )
( )
, , ,
,
Let be a union stable cooperation structure. If non-negative and convex, then is convex
N v
N
v v
C F
F C
{ , ,3, 4}2 {{ , ,3},{ , , 4},{ , ,3, 4}}2
1 2
1 1 2 1
Example
N=
= F
2/ Stage agen 1/
3,4/
S B
t u
eller yers
if 2
( ) 0 o th e rw is e
( , ) is s u p e ra d d itiv e , s o is ( , )
S S
S N v v
N v
⎧⎪⎨
⎪⎩
= ≥
F
{ }
(
{ , , 3} { , , 4}1 2 , 1 2) ( {
{ , , 3}1 2} ) ( {
{ , , 4}1 2} )
T h e c o n fe re n c e g a m e ( , ) is n o t s u p e ra d { {1, , 3} ,{ , , 4} }2 1 2
d itiv e :
v
v ≤ v + v
= =
C
C C C
C
B C
4 1 2
(F,⊆)
3 {1,2,3} {1,2,4}
{ , ,123,4}
{ , ,3, 4}2 {{ , ,3},{ , , 4},{ , ,3, 4}}2
1 2
1 1 2 1
Example
N=
= F
2/ Stage agen 1/
3,4/
S B
t u
eller yers
if 2
( ) 0 o th e rw is e
( , ) is to ta lly b a la n c e d , s o is ( , )
S S
S
N v N v
v ⎧⎪⎨
⎪⎩
= ≥
F
{ , ,3}1 2 { , ,4}1 2 { , ,3}1 2 { , ,1 2 4}
T h e c o n fe re n c e g a m e ( ) is n o t b a la n c e d :
: 4 , 3, 3
1
,
{ { , , 3} ,{ , , 42 2 (
1 )
} } v
y y y y y
C v ⎧⎨ ⎫ =⎬
⎩ ∈ + = ≥ ≥ ⎭
= =
=
R
C ∅C
C
C B C
4 1 2
(F,⊆)
3 {1,2,3} {1,2,4}
{ , ,123,4}
Corollary
( ) ( )
( ) ( )
, , ,
, ,
Let be a union stable cooperation structure. If non-negative and convex, then
N v
N v v
v
μ ∈C F
C C
F
F
( ) v {
x n : ( )x N v ( ), ( )N x S v S( ), S}
C
F = ∈R = F ≥ ∀ ∈FTheorem
(
, ,) (
,) ( )
,Let . If is convex, then
is (non-negative) convex
N v F ∈USI N N v C vC
Corollary
( ) ( )
( ) ( )
( ) ( )
, , ,
, , , ,
Let . If is convex, then
N v USIN N v
N v v
N v v
C
π C
μ ∈
∈
∈
F F
F
F F
1 1 1 1
( , ) if and only if ,
( ) ( ) ( ) ( ),
, , , 1, ,
k k
k k
i i i i i i i i
i j i i
N v co nvex
v T v T v S v T
T T i j S T i k
= − = ≥ = − =
∩ = ∅ ≠ ⊆ =
∑ ∑
∪ ∪
… Lemma
Shapley (1971)
( )
{
, ,union stable cooperation structures }
N N v
US
= F( )
:
) , ( ),
( )
, 0
γ :
( , ,
,
,
N
k M k
M C N i
N n
US M C N
v M
i M
US
N v
N v,
N v,
∈
∈
⎛ ⎞
⎜ ⎟
⎝ ⎠
⎛ ⎞
⎜ ⎟
⎝ ⎠
∈ ∀ ∈
γ =
∀ ∉ γ =
∀
→
∑
∪
R Com ponent - efficiency
Com ponent - dum m y Allocation rule
F
F F
F
F
SUPERFLUOUS SUPPORT
( ) ( { } )
( ) ( { } )
, ,\
\
, ,
HH H
N v, N v,
v v
=
=
γ γ
∀ ∀ ∈
⊆
C C
F B
A A A C C
INFLUENCE
( )
( ) ( )
,1 , if
0, otherwise
C i
i
i C
f
I N , v
= ⎧ ∈ ≠ ∅
⎪⎨
⎪⎩
=
∀
⊆∑
C
C
C
A A
F
A C γ :U S N
→ R
nADDITIVITY
( N v , w , ) (
=N v, , ) (
+N w , , )
γ γ γ
+
F F F( N v, , )
= I( N , )
γ
F α F
additivity
superfluous support influence
The posit
ion value satis efi s
•
•
•
Theorem
additivity
superfluous suppor The Myerson value satis
fies
t
•
•
Theorem
( )
superfluous sup
The position value is the unique allocation rule on satisfyi
port
influe
n
nce
g
additivity
N
v
USI
⎛α ⎞
⎜ ⎟
⎜ ⎟
⎝
•
•
• = C C ⎠
C
Theorem
(
,)
, with 2, we have
satisfying:
(1) For all
(2) all non-unitary feasible coalition can be expressed in an unique way as union of non-unitary s
upports
N N
N
S T
S T S T
USI ⊆ US
∈ ∩ ≥ ∩ ∈
F
F F
{ , ,3, 4}
{{ , ,3},{ , , 4},{
1
1 1 1
2
2 2 , ,3, 4}}, 2 {{ , ,1 2 3},{ ,1 2, 4}}
Example
N=
=
F B = =C
2/ Stage agen 1/
3,4/
S B
t u
eller yers
( ) ( )
1 if
( ) 0 o th e rw is e
1, 0
S S
v S
v S S v
⎧⎪⎨
⎪⎩
− ∈
=
= − ∅ =
F F
( )
( )
2 2 1 1 , , , ,
3 3 3 3
2 2 1 1, , , 1 3 1 3 5
, , , , , 5
1 2 1 2 1 2 1 2
1 3 1 3 5, , , 5
1 2 1 2 1 2 1 2 3 3 3 3
I
N v
N ⎛⎜⎜ ⎞⎟⎟
⎝
⎛ ⎞
⎜ ⎟
⎠
⎛ ⎞
⎜ ⎟
⎜ ⎟
⎝ ⎠
⎛ ⎞
⎜ ⎟
⎜ ⎟
⎝ ⎠ ⎜ ⎟
⎝ ⎠
≠
=
=
α
μ
F F
4 1 2
(F,⊆)
3 {1,2,3} {1,2,4}
{ , ,123,4}
SUPERFLUOUS SUPPORT
( ) ( { } )
( ) ( { } )
, ,\
\
, ,
HH H
N v, N v,
v v
=
=
γ γ
∀ ∀ ∈
⊆
C C
F B
A A A C C
γ :U S N
→ R
nADDITIVITY
( N v , w , ) (
=N v, , ) (
+N w , , )
γ γ γ
+
F F FPOINT ANONYMITY
( )
( ) ( )
,{ }
, if
0, otherwise
: 0
,
i
i
i D
S f S D D i N
N v, v
= ⎧
α
⎨⎩
∈
= ∩ = ∈ >
γ
F C
F
SUPERFLUOUS SUPPORT
( ) ( { } )
( ) ( { } )
, ,\
\
, ,
HH H
N v, N v,
v v
=
=
γ γ
∀ ∀ ∈
⊆
C C
F B
A A A C C
γ :U S N
→ R
nADDITIVITY
( N v , w , ) (
=N v, , ) (
+N w , , )
γ γ γ
+
F F FPOINT UNANIMITY
( )
{ }
,
, if
0, otherwise
: 0
,
i
i
D
i D
D i N
u
N v, v
α β
= ⎧
⎨⎩
∈
= = ∈ >
γ
F C
F
( )
additivity superfluou
The Myerson value is the unique allocation rule on
s support point unanimity
satisfy
ing
N
v
USI
α
•
⎛ ⎞
⎜ ⎟
⎜ ⎟
⎝ ⎠
•
• = F D
D
Theorem
(
,)
, with 2, we have
satisfying:
(1) For all
(2) all non-unitary feasible coalition can be expressed in an unique way as union of non-unitary s
upports
N N
N
S T
S T S T
USI ⊆ US
∈ ∩ ≥ ∩ ∈
F
F F
γ :U S N
→ R
nADDITIVITY
( N v , w , ) (
=N v, , ) (
+N w , , )
γ γ γ
+
F F FSUPERFLUOUS PLAYER
( ) (
{ })
( ) ( { } )
\
\
,, ,
N iS S
iS N
N v, N v,
v v
=
=
γ γ
∀ ⊆
F F
F F
{ }
{ { } }
\ : \
N i = F ∈ F F ⊆ N i
F
POINT UNANIMITY
( )
{ }
,
, if
0, otherwise
: 0
,
i
i
D
i D
D i N
u
N v, v
α β
= ⎧
⎨⎩
∈
= = ∈ >
γ
F C
F
Theorem
additivity superfluo
The Myerson value is the unique allocation rule
us player point unanimity on sat
isfy
ing
US N
•
•
•
Lemma
superfluous playe
γ : . If γ is an additive allocation rule satisfyin
g r th n e
, , , ,
N n
N
US
N v,
⎛N v ,
⎞N v, US
⎛ ⎞ ⎛ ⎞
⎜ ⎟ ⎜ ⎟ ⎜ ⎟
⎝ ⎠ ⎝ ⎠ ⎝ ⎠
→
γ = γ ∀ ∈
R
F
FF F
γ :U S N
→ R
nADDITIVITY
( N v , w , ) (
=N v, , ) (
+N w , , )
γ γ γ
+
F F FSTRONG SUPERFLUOUS SUPPORT
( ) ( { } )
( )
\{ } ( )
, ,, ,
\H
H
S S S N H
N v, N v,
v v
=
=
γ γ
∀ ⊆ ∀
B
∈
F
F
BC
POINT UNANIMITY
( )
{ }
,
, if
0, otherwise
: 0
,
i
i
D
i D
D i N
u
N v, v
α β
= ⎧
⎨⎩
∈
= = ∈ >
γ
F C
F
Theorem
additivity strong su
The Myerson value is the unique allocation rule
perfluous support point un
animity on sat
isfying
US N
•
•
•
Lemma
γ : . I
f γ is an additive allocation rule satisfying point unanimity then
, , , ,
N n
N
US
N v,
⎛N v ,
⎞N v, US
⎛ ⎞ ⎛ ⎞
⎜ ⎟ ⎜ ⎟ ⎜ ⎟
⎝ ⎠ ⎝ ⎠ ⎝ ⎠
→
γ = γ ∀ ∈
R
F
FF F
( )
( ) ( )
( )
.
non-negative power to player in
: ,
, A power measure is a function
,
,
N
N N
i
N
US
i S
N
U
N
N
S N
σ
σ σ
+
+
⎯⎯→
⎯⎯→ ∈
∈
∈
F F
F
F F
R
R
( )
0 if and only if ,A power measure is positive if
σi N ,F > i ∈ C C ∈ C
U-STABLE SYSTEM
a positive pow er m easure
: 2 ,
v N
σ
⎯ ⎯→ R
F
HARSANYI POWER SOLUTION
( ) ( )
( ) ( )
( )
( )
,
, 0
:
( )
, , , ,
, , ,
,
j T
j T
N N
N N
i
i T
i v
T N i T j T
N j T
T
US
N v US N v
N v N
N
σ
σ
σ
σ
ϕ
ϕ
ϕ σ σ
∈
⊆ ∈
> ∈
∈ ∈
⎯⎯ →
⎯⎯ →
= Δ
∑
∑ ∑
FF
F F
F F
F
R
R
Vasil'ev (1982)
Vasil'ev (2003) Derks, Haller and Peters (2000)
van den Brink, van der Laan and
Pruzhansky (2011)
( )
{
, ,union stable cooperation structures }
N N v
US
= FTheorem
:
Let be a positive power measure. The Harsanyi power solution is an allocation rule satisfying
additivity
N n
σ US
σ
ϕ
→ RSUPERFLUOUS SUPPORT
( ) ( { } )
( ) ( { } )
, ,\
\
, ,
HH H
N v, N v,
v v
=
=
γ γ
∀ ∀ ∈
⊆
C C
F B
A A A C C
γ :U S N
→ R
n( )
{
, ,union stable cooperation structures }
N N v
US
= FTheorem
:
Let be a positive power measure. The Harsanyi power solution satisfies the superfluous support
property on
N n
N
USI USI
σ
σ
ϕ
→ Rw ith 2 w e h a v e
2 . A ll n o n -u n ita ry fe a sib le c o a litio n s c a n b e w ritte n in a u n iq u e w a y a s a u n io n o f n o n -u n ita ry su p p o rts
1 . ,
N U S N
S T S
U S I
S T
≥ T⊂
∩ ∩ ∈
∀ ∈
F FINFLUENCE
( )
( ) ( )
,1 , if
0, otherwise
C i
i
i C
f
I N , v
= ⎧ ∈ ≠ ∅
⎪⎨
⎪⎩
=
∀
⊆∑
C
C
C
A A
F
A C γ :U S N
→ R
n( N v, , )
= I( N , )
γ
F α F
( )
1C i
i C
I N ,
∈
=
∑
C
F
( )
( )
1 if 0 if
i
i
i
i
E E
N , N ,
≠ ∅
= ∅
=
=
C C
F F
{
:}
i = C ∈ i ∈ C
C C