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Analyzing the Evolution of Scientific Citations & Collaborations: A Multiplex Network Approach. By Soumajit Pramanik Guide : Dr. Bivas Mitra. Citation Network. Important Author-based Metrics : In-Citation Count H-Index etc. Co-Authorship Network. Existing Works.
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Guide : Dr. BivasMitra
1. Existing studies focused on the dominant factors like preferential attachment
2. None of these factors can be self-
3. Does their exist any self-tunable factor
(suppressed by dominant factors) for
boosting own citations/collaboration?
Advantage of attending Conferences:
with Fellow Scientists
Studying the influence of such interactions on the
evolution of Citation and
2> Artificial Intelligence
1> INFOCOM, ICDCS, IPDPS from the first domain (1982-2007)
2> AAAI, ICRA, ICDE from the second domain (1980-2008)
interaction Rate p (p=0.1,0.2,…,1)
For each year t:
Directed author-wise citation links created at t, pointing to papers published before t (or sometimes, in t)
Undirected interaction links between authors presenting in same sessions in selected conferences in t
Undirected collaboration links between two authors if they co-author a paper published in those chosen conferences in t
No. of “Successful” interactions in C during T
Total no. of interactions in C during T
From this, the definition of the Overall Conversion rate can be simply extended.
LR measures the no. of times each “induced”
citation link appears within the recorded time
The Lifespan of an “induced” citation is measured
as the difference between the first and the last
appearing year of the “induced” citation link.
The rate of appearance of the of a induced
citation link is denoted by the ratio of the
repetition count and lifespan.
Hence RA = LR / LS
The influence of a “successful” interaction is
measured as the latency between the “successful”
interaction and the formation of the first induced
2.87% (381 out of
13240) for [0.9,0.1]
2.1% (1291 out of
61896) for [0.9,0.1]
Downfall near end years due to
1. Overall Value increasing
2. Distributed Contribution
1. Overall Value slowly
2. Dominated Contribution
In both domains,
A significant no. of “induced”
citations repeat a high no.
Significant no. of “induced” citations have high RA values
Reasons can be
a) Low LS or/and
b) High LR
1. High RA ratio results from
mainly low LS
2. Ä large no. of induced" citations
missing from the right side of the
plot due to the boundary effect.
1. Aperiodicity of repetitions
of “induced” citations
increase almost linearly with
2. High LR not necessarily imply
high standard deviation
All the highly repeating “induced” citations have low “Influence” Gap
North America-North America
Here also, all highly repeating
“induced” collaborations have
small “influence” gap
1. Giant component
Component size 63
2. 28% (167) of induced
took part in the
1. Giant component size 16203, Second Largest Component size 41
2. 36:6% (263) of induced collaboration links took part in the merging
creation of “induced” citations
citation/collaboration degree distribution