shodhganga thesis on entrepreneurship

A Systematic Review of Issues and Challenges Associated with Women Entrepreneurs

Article sidebar, main article content.

Purpose: An entrepreneur is a development driver. It aids in maintaining the economic growth process going. The economic growth of each country decides the status of its citizens. The development of the economy will remain incomplete without the development of entrepreneurs. Women are also a part of the entrepreneurship movement in the country. There is a shift in the role played by a woman in the economy. In recent decades, the study of women’s entrepreneurship has increased. Women encounter several challenges in engaging in commercial activities or conducting entrepreneurial tasks. As entrepreneurs, women confront various socio-economic and other issues. This article adds a literature review on the problems and challenges of women entrepreneurs.

Design/Methodology/Approach: L iterature research to examine the notion of entrepreneurship, women entrepreneurs, determinants, concerns, and challenges of women entrepreneurs. The data from textbooks, articles published in Google scholar, Research Gate, and Academia databases, and a thesis from shodhganga.

Findings/Result : As per the study, women are playing multi-role and facing different challenges, from setting up the business to its continuation. The government takes various measures to motivate women’s entrepreneurship in the country. The work-life balance of women entrepreneurs is very challenging. Digitalization has brought challenges and opportunities to women in continuing their businesses. Highly educated women must be encouraged to run their businesses instead of working under someone.

Originality/Value: Women entrepreneurs, motivators, concerns, and obstacles are assessed and presented.

Paper Type: Conceptual Research.

Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License .

Most read articles by the same author(s)

• Elroy Monis, Ramesh Pai, Credit Cards: A Sectoral Analysis , International Journal of Management, Technology and Social Sciences (IJMTS): Vol. 8 No. 1 (2023): Volume 8 Issue 1
• Suresh Raghavan, Ramesh Pai, Quantitative Evaluation of “e-Customer Engagement Strategies” of Millennials for Online Brands, through ABCD Analysis Framework , International Journal of Management, Technology and Social Sciences (IJMTS): Vol. 8 No. 1 (2023): Volume 8 Issue 1

Academia.edu no longer supports Internet Explorer.

To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to  upgrade your browser .

Enter the email address you signed up with and we'll email you a reset link.

• We're Hiring!
• Help Center

Shodhganga-Repository for Electronic Theses and Dissertations: A Boon for Researchers

Universities are highly responsible for developing new theories through innovative research studies in all around the globe. Students and scholars are putting their best efforts to produce new facts and principles in these centres of higher studies. In India we have around 350 universities and every year almost more than 12000 PhDs are being produced by these universities. Avoiding duplication of research work is a serious matter of concern to all nations. Innovations in ICTs become a boon to avoid duplication as well as utilization of these studies. An electronic submission of these dissertations and theses are known as ETDs. Modern information and communication technology (ICT) acts as an effective intervener for paradigm shifting from closed access theses and dissertations to open access electronic theses and dissertations (ETD). The present study brings out grate opportunity to the library professionals to implement makes the initiatives to create the MoU from Shodhganga from INFLIBNET for the purpose of submission of electronic theses and dissertations. Nearly 202 universities from 29 States of India are registered in Shodhganga as on 25 th march 2015. It is highlighted one that among the 29 States of India, 32 universiti es from Tamil Nadu are registered in the ETD repository scheme of INFLIBNET. It is encourage one that within three months of 2015, 16 universities are register MoU with INFLIBNET for Shodhganga and it may break the earlier records of registration within end of the 2015. Among the 29 States, 202 universities were signed MoU, It is noticed that 54 universities are registered in 2013, 51 universities in 2012, 38 universities registered in 2011 and 10 universities registered in 2010, as on March 2015, 16 universities are registered MoU with INFLIBNET for Shodhganga. It understands from the table that 14 Government universities and 18 private universities from Tamil Nadu are register with Shodhganga. In the second position, 17 government and 7 private universities from Maharashtra registered for Shodhganga. Among the top 25 Indian university in these list, 5 state universities like such as follow as Anna university, Periyar University, Bharathidasan University, Manonmanian Sundarnar University and Bharathiar University are submitting more ETD to Shodhganga.

Related Papers

Dr. Shantashree Sengupta

Theses and dissertations have always been one of the most important types of grey literature for the scholarly world. However, there has always been a debate on their accessibility issues. In majority of cases, the usage of these documents is limited only to the University Level. The submission of theses and dissertations in electronic format has increased the opportunity for the user community to have access to the knowledge embedded in these works through various national and international e-theses & dissertations repositories. In India, UGC Regulations 2009, made it mandatory for every doctoral researcher to submit his/ her thesis in electronic format to the university concerned which are then deposited in INFLIBNET’s Shodhganga: a reservoir of Indian theses. The present study reports the status of ETD contributions of Universities of Maharashtra.

International Res Jour Managt Socio Human

This study is to identify the number of theses/dissertations submitted in the INFLIBNET Shodhganga ETD Repository by Indian universities till June 2016. The present study investigates the rate of successful submitted the thesis and dissertations in the field of Library and Information Science. A total number of 727 theses/dissertations were submitted in Library and Information Science by 61 universities departments. The data collected from Shodhganga website (http://shodhganga.inflibnet.ac.in/). It has been analyzed in different parameters and presented in different section I.e. date wise submission, items wise, region wise, university wise, language wise, state wise universities and so on. The aim of the study is to present the real picture of the Shodhganga ETD Repository.

Ankita Saloi

The present study attempts to evaluate the contributions made by the central universities of Northeast India to the open access repository of Shodhganga by INFLIBNET. Out of total 10 central universities of Northeast India, 9 Universities have already signed with MoU of Shodhganga repository and all are contributing their theses and dissertations to this project. North Eastern Hill University (NEHU) made the first initiative to signed MoU with Shodhganga and it has the highest numbers of 2,093 contributions in the repository and ranked 1st among all the central universities of Northeast India. Department of Education of North Eastern Hill University (NEHU) has the highest numbers of contribution in the repository of Shodhganga by INFLIBNET. English was the most preferred language for the theses and dissertations of the central universities of Northeast India.

The present paper evaluates the contribution of ETDs by State Universities in Maharashtra in India‟s ETD Database Shodhganga. Shodhganga is the flagship project of INFLIBNET, Ahmedabad which provides open access to theses and dissertations through the repository. As per the present study there are 12 State Universities in Maharashtra providing degrees in non-technical fields in Arts & Humanities, Science and Commerce. Out of these 12 universities, 11 have signed MoU for Shodhganga and only 08 universities shave contributed 181 ETDs in Library & Information Science in Shodhganga. SavitribaiPhule Pune University (Pune), Dr.BabasahebAmbedkarMarathwada University(Aurangabad) and SNDT University (Mumbai) have contributed highest number of ETDs in the repository. The top five Research Guides are also from the universities of Pune and Auranagabad. English was found to be most preferred language for theses and dissertations and Impact of ICT (21), Information Seeking Behaviour (11) and Libr...

Saroja K Panda

INFLIBNET Centre is aggressively working towards creation of open access institutional repositories and platform to support open access publishing at higher learning institutions like universities, colleges and R & D research centre in India, and imparting training in applications on various aspects of new technology to achieve such goals and encouraging library and information professionals to expand their horizon in digital content creations, process of digitization, managing digital depositories and open access etc. In the country like India, open access journals and institutional repositories are two main routes of open access publishing system now a day. This article discusses on different open access initiatives taken by the INFLIBNET Centre in serving the scholarly and scientific communities in the country. The article also reviewed the current status, benefits and its impacts on the universities and its users.

International Conference on Transforming Academic Libraries: Vision 2030

Vysakh Chingath

The deposition of ETD’s by the universities of Kerala into Shodhganga is counted in this article. Data for the study were extracted from Shodhganga as on 10th May 2019. The analysis revealed that out of 18 universities in Kerala, 7 universities contribute to Shodhganga ETD repository with a total of 10105 theses. University of Kerala and Mahatma Gandhi University with 2974 and 2769 theses respectively were the top universities to deposit RTD’s onto the repository. The study is useful to know the number of universities which are in line with the ‘UGCMinimum Standards & Procedure for Award of M.Phil. / Ph.D. Degree, Regulation, 2009’ which mandates uploading of electronic versions of theses into the Shodhganga repository for the benefit of the scholars in particular and the taxpayers across the nation in general.

India does not have a central repository in which theses are stored from various PhDs across different disciplines. This has led to various kinds of problems from lack of visibility for Indian research to duplication, repetition and even plagiarism in some cases. Most countries have created an online central database where universities as well as researchers post their theses and dissertations. With the proliferation of the Web, this has become a global showcase of research capabilities of each country. Theses and dissertations are known to be the rich and unique source of information, often the only source of research work that does not find its way into various publication channels. The UGC vide its Notification (Minimum Standards & Procedure for Award of. Phil. / Ph.D Degree, Regulation, 2009) dated 1st June 2009 provides for submission of electronic version of theses and dissertation by the researchers in universities in Shodhganga maintained by the INFLIBNET Centre. Universities that sign MoU with the INFLIBNET Centre and mandate submission of electronic version of their theses and dissertation to Shodhganga may get financial assistance from the UGC for digitizing their back-files of theses. Besides, UGC may also provide financial assistance to the INFLIBNET Centre for subscription to software tools that detect plagiarized portion of theses and dissertations. In time to come, ETDs would become more commonplace, grant-giving agencies and accreditation bodies like AICTE, UGC and NAAC would make judgments regarding innovative universities by taking note of their initiatives such as ETDs and IRs. This article aim to explain the purpose and approach of

deivam muniyandi

Theses and dissertation are known to be the rich and unique source of information, often the only source of research work that does not find its way into various publication channels. Theses and dissertations remain an untapped and under-utilized asset, leading to unnecessary duplication and repetition that, in effect, is the antitheses of research and wastage of huge resources, both human and financial. In this paper examines the Electronic thesis and Dissertation (ETDs) deposited at INFLIBNET Shodhganga project by Indian Universities. It is found that 99994 + theses have been deposited on various disciplines by 260 universities. The 3485 synopses were uploaded in the Shodhganga project. In this paper analysed top ten universities contributing electronic theses, year wise contribution and top viewed theses in the database.

RELATED PAPERS

Prof. Rupak Chakravarty

Konika Malakar

Nabi Hasan , Jafar iqbal

Prof. Dinesh K. Gupta

Laila T Abraham

Library Philosophy and Practice (e-journal)

Dr.Dattatraya Kalbande

Raja Iqbalnabi

chauhan mohammadhafiz I

Vysakh Chingath , Rajendra Babu

Bhupendra U Bansod

Dr. Mithu A N J A L I Gayan

Annals of Library and Information Studies

Anup Kumar Das

Maitrayee Ghosh

The International Information & Library Review

IP Indian Journal of Library Science and Information Technology

Mr. GAUTAM A . WANI

Shilpa Waghchoure

Parthasarathi Mukhopadhyay , Subal Biswas

vijay srinath kanchi

Library Philosophy and Practice

Suparna Naskar

shanlax publication

Chithan Kandeepan

Gregory T Papanikos

Dr. Raj Kumar Bhardwaj

Manika Lamba

Library Herald

MANOJ K U M A R VERMA

Kumar Gandharv Mishra

Nabi Hasan , Vanita Khanchandani , Simran Gupta

Sulaiman Al-reyaee , Aquil Ahmed

Nirmal Chand

International Journal of Information and Education Technology

Terry Ann Cayabyab

Parthasarathi Mukhopadhyay , Dr Prosenjit Sarkar

•   We're Hiring!
•   Help Center
• Find new research papers in:
• Health Sciences
• Earth Sciences
• Cognitive Science
• Mathematics
• Computer Science
• Academia ©2024

On the banks of Shodhganga: analysis of the academic genealogy graph of an Indian ETD repository

• Published: 18 May 2023
• Volume 128 , pages 3879–3914, ( 2023 )

Cite this article

• Dhananjay Kumar 1 ,
• Plaban Kumar Bhowmick 1 ,
• Sumana Dey 2 &
• Debarshi Kumar Sanyal 3  

337 Accesses

Explore all metrics

Academic genealogy graphs capture information about the lineage of researchers, encode how knowledge flows from advisors to proteges, and shed light on the birth and evolution of disciplines. In this paper, we study the academic genealogy graph/network (AGN) in Shodhganga which is the Indian Electronic Theses and Dissertations (ETD) database. We have disambiguated the names of the researchers in Shodhganga and constructed the Shodhganga-AGN, which we have analyzed with topological metrics proposed in the literature on general graphs as well as that on genealogy networks. The metrics studied have been able to identify the institutes and researchers that have played a significant role in the development of the Indian higher education system. The largest connected component of Shodhganga-AGN consists of 1356 researchers and 1437 advisor–advisee relationships. The component is dominated by researchers from science and is affiliated primarily with three institutions. We have also studied subgraphs in the genealogy network to identify supervision patterns, and found that most of the subgraph instances connect researchers within a single institution or subject. Thus, our study is a detailed insightful analysis of the academic genealogy of researchers indexed in Shodhganga, and captures the decades-old research ecosystem of India, as expressed through the formal advisor–advisee relationships in Indian universities.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price includes VAT (Russian Federation)

Instant access to the full article PDF.

Rent this article via DeepDyve

Institutional subscriptions

Similar content being viewed by others

Building the Brazilian Academic Genealogy Tree

Disciplinary homogeneity in university departments following the Gelmini law: an exploratory analysis through social networks

Eugenia Nissi & Fabrizio Muratore

A Tool for Analyzing Academic Genealogy

https://www.genealogy.math.ndsu.nodak.edu/ .

https://academictree.org/ .

https://aishe.gov.in/aishe/gotoAisheReports .

https://www.ugc.ac.in/pdfnews/8604044Higher-Education-Brochure.pdf .

Dropout rate is not known, but we assumed it to be more than 2%.

https://neo4j.com/ .

https://spacy.io .

In Algorithm 2 the the threshold value is dynamic

Structural variation refers to characters missing, longer-shorter version of names, etc.

https://github.com/Djasingh/Shodhganga-AGN .

https://gephi.org/ .

https://www.scopus.com/authid/detail.uri?authorId=7005045135 .

The May 2018 AFT data dump is used.

We have made the assumption that the Researchers have only one doctoral degree.

The involvement of multiple advisors to advise a researcher in AGN.

Note: We have not identified the subgraphs based on their frequency of occurrence in the random graphs and Shodhganga-AGN.

Note: Temporal information is not considered for detecting subgraphs.

The advisor–advisee connections available in Shodhganga-AGN following the predefined subgraph structures are referred as instances of the subgraph structures (shown in Fig. 13 a).

https://www.nirfindia.org/2021/Ranking.html .

Alves, B.L., Benevenuto, F., Laender, A.H. (2013). The role of research leaders on the evolution of scientific communities. In Proceedings of the 22nd international conference on world wide web-www ’13 companion (pp 649–656). New York, ACM Press. https://doi.org/10.1145/2487788.2488016

Arslan, E., Gunes, M.H., Yuksel, M. (2011). Analysis of academic ties: A case study of mathematics genealogy. In 2011 IEEE globecom workshops (gc wkshps) (pp. 125–129). https://doi.org/10.1109/GLOCOMW.2011.6162384

Avron, A., Dershowitz, N., Rabinovich, A. (2008). Boris A. Trakhtenbrot: Academic genealogy and publications. Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics) (Vol. 4800 LNCS, pp. 46–57). Springer, Berlin. https://doi.org/10.1007/978-3-540-78127-1_3

Carolina Elias, M., Floeter-Winter, L. M., & Mena-Chalco, J. P. (2016). The dynamics of Brazilian protozoology over the past century. Memorias do Instituto Oswaldo Cruz, 111 (1), 67–74. https://doi.org/10.1590/0074-02760150386

Article   Google Scholar  

Chariker, J. H., Zhang, Y., Pani, J. R., & Rouchka, E. C. (2017). Identification of successful mentoring communities using network-based analysis of mentor-mentee relationships across Nobel laureates. Scientometrics, 111 (3), 1733–1749. https://doi.org/10.1007/s11192-017-2364-4

Cronin, B., & Sugimoto, C. R. E. (2014). Beyond bibliometrics: Harnessing multidimensional indicators of scholarly impact cambridge ma mit press 2014 466 pp. Online Information Review, 39 (2), 270–271.

Google Scholar  

Damaceno, R. J., Rossi, L., Mugnaini, R., & Mena-Chalco, J. P. (2019). The Brazilian academic genealogy: Evidence of advisor–advisee relationships through quantitative analysis. Scientometrics, 119 (1), 303–333. https://doi.org/10.1007/s11192-019-03023-0

Da Silva, C. E. M., Nunes, R., & Viegas, E. M. M. (2018). A genealogy of the Brazilian scientific research on freshwater fish farming by means of the academic supervision linkage. Scientometrics . https://doi.org/10.1007/s11192-018-2940-2

David, S. V., & Hayden, B. Y. (2012). Neurotree: A collaborative, graphical database of the academic genealogy of neuroscience. PLoS ONE, 7 (10), e46608. https://doi.org/10.1371/journal.pone.0046608

Dores, W., Benevenuto, F., Laender, A.H. (2016). Extracting academic genealogy trees from the networked digital library of theses and dissertations. In Proceedings of the ACM/IEEE joint conference on digital libraries (Vol. 2016-Septe, pp. 163–166). New York, Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1145/2910896.2910916

Dores, W., Soares, E., Benevenuto, F., & Laender, A. H. (2017). Building the Brazilian academic genealogy tree. Lecture Notes in Computer Science . https://doi.org/10.1007/978-3-319-67008-9_43

Gargiulo, F., Caen, A., Lambiotte, R., Carletti, T. (2016). The classical origin of modern mathematics. EPJ Data Science 51. https://doi.org/10.1140/epjds/s13688-016-0088-y

Hart, R. E., & Cossuth, J. H. (2013). A family tree of tropical meteorology’s academic community and its proposed expansion. Bulletin of the American Meteorological Society, 94 (12), 1837–1848. https://doi.org/10.1175/BAMS-D-12-00110.1

Head, K., Li, Y. A., & Minondo, A. (2019). Geography, ties, and knowledge flows: Evidence from citations in mathematics. The Review of Economics and Statistics, 101 (4), 713–727. https://doi.org/10.1162/rest_a_00771

Heinisch, D. P., & Buenstorf, G. (2018). The next generation (plus one): An analysis of doctoral students’ academic fecundity based on a novel approach to advisor identification. Scientometrics, 117 (1), 351–380. https://doi.org/10.1007/s11192-018-2840-5

Hirshman, B. R., Alattar, A. A., Dhawan, S., Carley, K. M., & Chen, C. C. (2019). Association between medical academic genealogy and publication outcome: Impact of unconscious bias on scientific objectivity. Acta Neurochirurgica, 161 (2), 205–211. https://doi.org/10.1007/s00701-019-03804-9

Jackson, A. (2007). A labor of love: The mathematics genealogy project. Notices of the American Mathematical Society, 54 , 1002–1003.

Krumov, L., Fretter, C., Müller-Hannemann, M., Weihe, K., & Hütt, M- T. (2011). Motifs in co-authorship networks and their relation to the impact of scientific publications. The European Physical Journal, B84 (4), 535–540. https://doi.org/10.1140/epjb/e2011-10746-5

Liénard, J. F., Achakulvisut, T., Acuna, D. E., & David, S. V. (2018). Intellectual synthesis in mentorship determines success in academic careers. Nature Communications, 9 (1), 4840. https://doi.org/10.1038/s41467-018-07034-y

Liu, J., Tang, T., Kong, X., Tolba, A., & AL-Makhadmeh, Z., Xia, F. (2018). Understanding the advisor–advisee relationship via scholarly data analysis. Scientometrics, 116 (1), 161–180. https://doi.org/10.1007/s11192-018-2762-2

Liu, J., Xia, F., Wang, L., Xu, B., Kong, X., Tong, H., King, I. (2019). Shifu2: A Network Representation Learning Based Model for Advisor–advisee Relationship Mining. In IEEE Transactions on Knowledge and Data Engineering pp. 1–1. https://doi.org/10.1109/tkde.2019.2946825

Ma, Y., & Uzzi, B. (2018). Scientific prize network predicts who pushes the boundaries of science. Proceedings of the National Academy of Sciences, 115 (50), 12608–12615. https://doi.org/10.1073/pnas.1800485115

Madeira, G., Borges, E.N., Barañano, M., Nascimento, P.K., Lucca, G., De Fatima Maia, M., Dimuro, G. (2019). The gold tree: An information system for analyzing academic genealogy. In ICEIS 2019-proceedings of the 21st international conference on enterprise information systems. https://doi.org/10.5220/0007758401140120

Malmgren, R. D., Ottino, J. M., Amaral, L. A. N., Nunes Amaral, L. A., & Shiralkar, P. (2010). The role of mentorship in protégé performance. Nature, 465 , 622–626. https://doi.org/10.1038/nature09040

Marsh, E. J. (2017). Family matters: Measuring impact through one’s academic descendants. Perspectives on Psychological Science, 12 (6), 1130–1132. https://doi.org/10.1177/1745691617719759

Mugnaini, R., Damaceno, R.J., Mena-Chalco, J.P. (2019). An empirical analysis on the relationship between publications and academic genealogy. In 17th international conference on scientometrics and informetrics, ISSI 2019-proceedings.

Paranjape, A., Benson, A.R., Leskovec, J. (2017). Motifs in temporal networks. In Proceedings of the tenth ACM international conference on web search and data mining (pp. 601–610). New York, NY, USA Association for Computing Machinery. https://doi.org/10.1145/3018661.3018731

Rossi, L., Damaceno, R. J., Freire, I. L., Bechara, E. J., & Mena-Chalco, J. P. (2018). Topological metrics in academic genealogy graphs. Journal of Informetrics, 12 (4), 1042–1058. https://doi.org/10.1016/j.joi.2018.08.004

Rossi, L., Freire, I. L., & Mena-Chalco, J. P. (2017). Genealogical index: A metric to analyze advisor–advisee relationships. Journal of Informetrics, 11 (2), 564–582. https://doi.org/10.1016/j.joi.2017.04.001

Russell, T. G., & Sugimoto, C. R. (2009). Mpact family trees: Quantifying academic genealogy in library and information science. Journal of Education for Library and Information Science, 5 , 248–262.

Sanyal, D. K., Dey, S., & Das, P. P. (2020). gm-index: A new mentorship index for researchers. Scientogmetrics, 123 (1), 71–102. https://doi.org/10.1007/s11192-020-03384-x

Semenov, A., Veremyev, A., Nikolaev, A., Pasiliao, E. L., & Boginski, V. (2020). Network-based indices of individual and collective advising impacts in mathematics. Computational Social Networks, 7 (1), 1–18. https://doi.org/10.1186/s40649-019-0075-0

Tan, Z., Liu, C., Mao, Y., Guo, Y., Shen, J., Wang, X. (2016). AceMap: A Novel Approach towards Displaying Relationship among Academic Literatures. In Proceedings of the 25th international conference companion on world wide web-www ’16 companion. https://doi.org/10.1145/2872518.2890514

Tuesta, E. F., Delgado, K. V., Mugnaini, R., Digiampietri, L. A., Mena-Chalco, J. P., & Pérez-Alcázar, J. J. (2015). Analysis of an advisor–advisee relationship: An exploratory study of the area of Exact and Earth Sciences in Brazil. PLoS ONE, 10 (5), e0129065. https://doi.org/10.1371/journal.pone.0129065

Wang, C., Han, J., Jia, Y., Tang, J., Zhang, D., Yu, Y. (2010). Mining advisor–advisee relationships from research publication networks. In Proceedings of the ACM sigkdd international conference on knowledge discovery and data mining (pp. 203–212). New York, USAACM Press. https://doi.org/10.1145/1835804.1835833

Wang, W., Liu, J., Xia, F., King, I., Tong, H., & (2017). Shifu: Deep learning based advisor–advisee relationship mining in scholarly big data. 26th international world wide web conference,. (2017). www 2017 companion (pp. 303–310). International World Wide Web Conferences Steering Committee . https://doi.org/10.1145/3041021.3054159

Wijsen, L. D., Borsboom, D., Cabaço, T., & Heiser, W. J. (2019). An academic genealogy of psychometric society presidents. Psychometrika . https://doi.org/10.1007/s11336-018-09651-4

Wu, W., Han, Y., Li, D. (2008). The topology and motif analysis of journal citation networks. In 2008 international conference on computer science and software engineering (Vol. 1, pp. 287–293). https://doi.org/10.1109/CSSE.2008.495

Zeitlyn, D., & Hook, D. W. (2019). Perception, prestige and pagerank. PLoS ONE, 14 (5), 1–21. https://doi.org/10.1371/journal.pone.0216783

Zhao, Z., Liu, W., Qian, Y., Nie, L., Yin, Y., & Zhang, Y. (2018). Identifying advisor–advisee relationships from co-author networks via a novel deep model. Information Sciences, 466 , 258–269. https://doi.org/10.1016/j.ins.2018.07.064

Ziechmann, R., Hoffman, H., & Chin, L. S. (2019). Academic genealogy of neurosurgery via department chair. World Neurosurgery . https://doi.org/10.1016/j.wneu.2018.09.023

Download references

Author information

Authors and affiliations.

Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, 721302, India

Dhananjay Kumar & Plaban Kumar Bhowmick

Mindtree, Kolkata, West Bengal, 700091, India

Indian Association for the Cultivation of Science, Kolkata, West Bengal, 700032, India

Debarshi Kumar Sanyal

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to Dhananjay Kumar .

Ethics declarations

Conflict of interest.

The authors did not receive support from any organization for the submitted work and have no competing financial interests to declare.

Algorithms flowchart

Algorithm 2-In all the above cases, we have imposed the natural constraint that the advisor’s (who is potentially the same person as the advisee) date of thesis submission to be earlier than the advisee’s thesis submission date. In the case where the number of candidates (advisee) to merge with the advisor is greater than one, we further check them across the available attributes to find the best candidate

Algorithm 3-Initially students with same names and having same department and institute are assigned the same index even if they are referring to different individuals. In that scenario, if advisor information (advisor thesis) is available, we are using that to find the most likely student among all the students (with the same name) associated with him/her. After that, group the remaining students by thesis title and assign them with different indices (Assumption: very less likely that two students with the same name and in the same institute and department has different thesis titles associated with same advisor)

Algorithm 4-Applicable if multiple advisors advised the student (multiple records exist, same student name has variation due to human error (check Appendix Table 2 )), or duplicate records exist, or wrongly combined thesis title. The function merges students with similar names (with slight variation) having the same thesis title. If student names are different across the same thesis index (similarity value less than threshold value), then there is a chance that two different thesis indices are merged wrongly. Therefore, we will not change the student indices

Sample of researcher records with few attributes

Top researchers in shodhganga-agn based on different genealogical metrics, institute abbreviation, nirf ranking, and ddc subject code with subject name, extracted subgraphs structures from shodhganga-agn.

Extracted subgraphs instances from Shodhganga-AGN

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Kumar, D., Bhowmick, P.K., Dey, S. et al. On the banks of Shodhganga: analysis of the academic genealogy graph of an Indian ETD repository. Scientometrics 128 , 3879–3914 (2023). https://doi.org/10.1007/s11192-023-04728-z

Download citation

Received : 10 August 2022

Accepted : 24 April 2023

Published : 18 May 2023

Issue Date : July 2023

DOI : https://doi.org/10.1007/s11192-023-04728-z

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

• Academic genealogy graph
• Researcher name disambiguation
• Indian thesis repository
• Shodhganga ETD
• Find a journal
• Publish with us
• Track your research

shodhganga thesis on social entrepreneurship