Discovering critical nodes in social networks is crucial for comprehending the structural characteristics, connectivity and importance of its presence in the network. In this paper, we focus on detecting vital nodes which are part of multiple dense sub-graphs and play a major role in connecting other nodes thereby forming a global network. Here, we analyze the data of some major data mining conferences to explore if there exist some nodes which play a major role in submission and acceptance of paper in those conferences. We try to figure out the relationship between the Programme Committee members and the authors and their co-authors. We look for the top authors of these conferences. Furthermore, we mine the patterns in which some authors’ and their co-authors’ papers are being accepted. In order to understand the underlying dynamics of the network over time we examine how these patterns change periodically and with what factors. Lastly, we add to this a comparative study stating the affiliation of authors and examine if local influence of their ethnicity does exists with respect to continents where these conferences are taking place.

1. Extraction and Analysis of Publication Data of
Conferences
Authors:- Sushil Gurung, Sohom Ghosh, Jayant Jaiswal and Partha Basuchowdhuri
Presented by:- Sohom Ghosh
Article id:- 315
2nd IEEE International Conference on
Advances in Computing & Communication Engineering (ICACCE-2015)
1-2 May, 2015
Tula’s Institute, Dehradun, India.

2. Introduction
• Extraction of publication data for Conference from their respective
websites and DBLP.
• Construction and Examination of co-authorship networks from this
data.
• Distribution of Publication Frequency.
• Analysis of the effect of presence of an author as a member of
programme committee (PC).
• Dependence of acceptance of a paper in a conference on local influence.
• Comprehension of the underlying network dynamics.

3. Distribution of Publication Frequency

4. Overall Distribution of Publications

5. Analysis of Co-authorship Network

6. Top 5 Connected Components of the Conferences

7. Dependence of Conference on Local Influence

8. Conclusion & Future Work
• Extraction of possible set of features on which the acceptance of a
paper depend.
• Predicting possible set of papers that will be accepted in future.
• Automated Recommendation System for researchers to help them in
find a conference where his paper is supposed to get accepted with
high probability.

9. References
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Second Edition, MIT Press and McGraw-Hill, Section 22.3:
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10. References (contd…)
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11. Thank You 

12. Questions & Answers
?