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Modelling aging characteristics in citation networks
Growing network models with preferential attachment dependent on both age and degree are proposed to simulate certain features of citation network noted in [Redner, arXiv: physics/0407137 (2004)]. In this directed network, a new node gets attached to an older node with the probability ∼ K ( k ) f (...
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| Published in: | Physica A 2006-08, Vol.368 (2), p.575-582 |
|---|---|
| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Citations: | Items that this one cites Items that cite this one |
| Online Access: | Get full text |
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| Summary: | Growing network models with preferential attachment dependent on both age and degree are proposed to simulate certain features of citation network noted in [Redner, arXiv: physics/0407137 (2004)]. In this directed network, a new node gets attached to an older node with the probability
∼
K
(
k
)
f
(
t
)
where the degree and age of the older node are
k and
t, respectively. Several functional forms of
K
(
k
)
and
f
(
t
)
have been considered. The desirable features of the citation network can be reproduced with
K
(
k
)
∼
k
-
β
and
f
(
t
)
∼
exp
(
α
t
)
with
β
=
2.0
and
α
=
-
0.2
and with simple modifications in the growth scheme. |
|---|---|
| ISSN: | 0378-4371 1873-2119 |
| DOI: | 10.1016/j.physa.2005.12.044 |