Social nEtwork And ScientOmetric aNalysis (SEASON)

Scientists

and organizations should consider the benefits and costs of collaboration

before deciding to collaborate. Collaboration for its individual sake does not

seem to be warranted, given the number of critical success factors that should

be taken into account before and during collaboration. Collaboration persuades

the establishment of effectual communication and partnerships and also

recommends equivalent chances among the team members. It tributes and respects

each member's individual and organizational technique. It also augments the

ethical demeanor, maintains sincerity, simplicity, secrecy, reliability, and

righteousness.

Scientometric

and social network indicators are used to appraise the quantitative and

qualitative published scientific literature in any given subject field of

study, countries, institutions, sources and also enable to analyse assists to

study the past, present and forecast the future, features of theories, laws,

and models linked to scientific developments and its research collaboration

with the society. This study will draw several empirical analyses intended to

measure the effects of Indo-German collaboration on research performance and,

indirectly, to verify the legitimacy of policies that support such

collaboration. Our study superimposes the Indo - German research trends system,

using a scientometric and social network-type approach in which collaboration and

co-authorship, and institutions of scientific publications are treated on a

par, and is aimed at assessing the impact of collaboration intensity on

scientific productivity. This study aims to investigate the influence of

different patterns of collaboration on the citation impact among the Indo -

German researchers.

More

precisely the project will have following components: The researcher will

collect data from Web of Science, SCOPUS, and Pub Med databases. The aggregated

data can be analyzed by various software like Hiscite, Bibexcel, Biblioshiny,

and SPSS to determine diverse scientometric measures. Social network analysis

software Pajek and visualization software VOS Viewer will be utilized to

present better visualization of networks for data interpretation and

presentation of research work. This research project will be providing the

following expected outcomes and benefits to India and Germany.

The project

will involve close collaboration and joint work between Indian and German

sides. While the Indian side has experience of working on Text Analytics of

scholarly articles and Social Media analytics, the German side has sufficient

expertise of applying the Scientometrics and natural language processing

techniques for Information retrieval in Scholarly article domain. It is

necessary to bring together methodologies from Information Retrieval, NLP and

Scientometrics and fuse them together to design a suitable retrieval and

recommendation system as proposed in the project. The collaboration is expected

to from a long term association among the two research groups and to promote

bilateral research cooperation among the two countries by exchange of ideas,

know-how, research staff and sharing of resources. In due course academic

collaboration agreements, involving joint research projects and other

collaborative activities, between participating Indian and German institutions

will be explored.