Network analysis2

1. Research Professional Activity
Network Analysis
Presented By
Priyabrata Satapathy
SIC No: MCS12121

2. Plan of My work
 Collect Information about researchers
 Researcher Affiliation
 Journal Details
 Conference Details
 Books Details (Authors and Editors)
 Constructing a graph according to their activity.
 Defining Problem .
 Proposing/ Designing a new technique .
 Simulation and Performance Analysis of proposed technique.
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3. Outline
 Introduction
 Our work
 Citation
 h-index
 g-index
 Longevity
 Future Work
 References
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4. Introduction
 Many research professional are involved in activities like Publish a Journal
paper, Conference paper, Books, Articles etc.
 Two or more than two persons works together .
 Our objective
 Find the relationship between professionals.
 How many professional are working in the same area.
 Which person are more active in a particular area.
 Which person are suitable for guidance in particular area.
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5. Our Work
 So here we analyze research professional activity as mining.
 For analyzing research professional activity, we required three types of
Information like
 Research Professional Data(Personal information)
 Activity
 Relationship between Research professional and their activity
 We extract data from IEEE, Springer, Science Direct, ACM digital library etc.
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6. Citation
 A citation can represent many types of links, such as links between authors,
publication, journals and conferences.
 When researchers refers to another author’s works in their own publication work,
they cite it.
 A citation index is a compilation of all the cited references form articles
published during a particular year or period.
 A citation index allows to determine the researcher impact of publication
according to the number of times it has been cited by other researcher.
 Self citation are not included in such citation count.
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7. Citation example(I)
P1 P2 P3
W
M
C
X
N P
Z
A O
Y
B
D
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8. Citation example(II)
Author Paper Paper cited by Paper citation value Author citation value
A N,Z 2
B M,W 2
P1 6
C 0
D P,Z 2
A N,Z 2
M D 1
P2 N 0 5
O D,W 2
P 0
W M,N,A,C,P 5
X N 1
P3 6
Y 0
8 Z 0 Anand Bihari

9. h-index
 Invented by Jorge Hirsh at university of California in 2005.
 A popular method to measure the centrality of academic papers.
 h-index =number of your papers h that have been cited at least h times.
 The use of h-index aims at identifying researchers with more papers and
relevant impact over a period of time.
 For any general “set of papers” one can arrange these papers in decreasing
order of the number of citations they received.
 The h-index is then the largest rank h = r such that the paper on this rank (and
hence also all papers on rank 1,…,h) has h or more citations.
 Hence the papers on ranks h + 1, h + 2, … have not more than h citations.
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10. h-index example
Author Paper Paper Citation Paper citation value Rank h-index of author
Value in desc. Order
A 2 2 1
B 2 2 2
P1 2
C 0 2 3
D 2 0 4
A 2 2 1
M 1 2 2
P2 N 0 1 3 2
O 2 0 4
P 0 0 5
W 5 5 1
X 1 1 2
P3 1
Y 0 0 3
10 Z 0 0 4 Anand Bihari

11. g-index
 The g-index is introduced as an improvement of the h-index of Hirsh to
measure the global citation performance of a set of articles.
 This set is ranked in decreasing order of the number of citations that they
received, the g-index is the (unique) largest number such that the top g articles
received (together) at least g2 citations.
 The g-index of an author is greater or equal to h-index(g>=h).
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12. g-index example(I)
Author Paper TC r ∑TC r2 h-index g-index
A 2 1 2 1
B 2 2 4 4
P1 2 2
C 2 3 6 9
D 0 4 6 16
A 2 1 2 1
M 2 2 4 4
P2 N 1 3 5 9 2 2
O 0 4 5 16
P 0 5 5 25
W 5 1 5 1
X 1 2 6 4
P3 1 2
Y 0 3 6 9
12 Z 0 4 6 16 Anand Bihari

13. g-index example(II)
 TC stands for the total number of citations for each paper on rank r = 1,2,... .
 ∑TC stands for the cumulative number of citations to the papers on rank 1,...,r
(for each r).
 The h-index of author P1 is h = 2 and the g-index g = 2 Indeed h = 2 is the
highest rank such that all papers on rank 1,...,h have at least 2 citations (and
hence the papers on rank 3 or higher have not more than 2 citations). Also g =
2 is the highest rank such that the top 2 papers have at least 22 = 4 citations
(here 4>= 4); on rank 3 we have 6 < 32 = 9 citations.
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14. Longevity
 Longevity reflects the length of one author’s academic life. We consider the
year when one author publish his/her first paper as the beginning year of his/her
academic life and the last paper as the end year. Then longevity can be defined
as
longevity(A)=YA(A’s last paper) – YA(A’s first paper)
Example:
let author A published first paper in 1997 and the last paper in 2011.
Therefore, longevity of Author A = 2011 – 1997 = 14
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15. Future Work
 After designing a graph , we will implement mathematical equation or graph
algorithm to find the meaningful value of a node.
 Research person are taken as vertices.
 Edge between them having some weight like activity between them.
 Find more influence(Active) person in such area.
 Find more influence person in the network.
 For this we will collect data from a website known as www.arnetminer.org .
 Learn Diversity, Sociability, Activity of researcher in social network.
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16. Future Literature Survey
Titles Name of Journal/Conferences Publication
Year
Link creation and profile IEEE International Conference on 2010
alignment in the aNobii Social Computing / IEEE
social network International Conference on
Privacy, Security, Risk and Trust
Design and implementation of a International Conference on 2011
web structure Mining algorithm internet technology and secured
using breadth first search transactions
Strategy for academic search
application
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17. References
 Bing Liu “Web Data Mining ” Springer International Edition.
 Articles “Evaluating Scientists: Citations, Impact Factor, h-Index, Online
Page Hits and What Else?” written by M Jagadesh Kumar Editor-in-Chief,
IETE Technical Review, Department of Electrical Engineering, IIT, Hauz Khas,
New Delhi-110 016, India
 Springers articles “Theory and practise of the g-index” published by-LEO
EGGHE, Universiteit Hasselt (UHasselt), Campus Diepenbeek (Belgium) , Vol.
69, No. 1 (2006) 131–152.
 Website : www.arnetminer.org, Wikipedia.
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18. Thank You
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