NDLI: Automatic classification of scientific groups as productive: An approach based on motif analysis

Content Provider	IEEE Xplore Digital Library
Author	Chakraborty, T. Ganguly, N. Mukherjee, A.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Kharagpur, Kharagpur, India (Chakraborty, T.; Ganguly, N.; Mukherjee, A.)
Abstract	One of the key aspects instrumental in the advancement of science relates to “team science,” or in other words “group” collaborations. There have been extensive studies analyzing various statistical properties of collaborations of individual or pairs of authors. However, the number of studies pertaining to groups/teams of scientists working together is limited in number. In this paper, we set an objective to study the productivity of group collaborations where groups are represented as small substructures usually termed as network motifs in the literature. A preliminary observation is that star-like motifs have the largest productivity (defined as a function of citation count) followed by 4-cliques. We then introduce a bunch of features and study their individual relations with the productivity of a team. Building on these observations, we develop a supervised classification model that can automatically distinguish the highly productive teams from the low productive ones based on the set of identified features. The accuracy of the classification is 82% on an average for all the motifs with the accuracy reaching as high as 95% for 4-cliques. Finally, we present a detailed analysis of the time-transition behavior of different motifs along with some of the real world highly productive motifs found in our dataset. This empirical study is a first step toward the development of a full-fledged recommendation system that can predict how productive a team would be in the future.
Starting Page	130
Ending Page	137
File Size	260916
Page Count	8
File Format	PDF
ISBN	9781479958771
DOI	10.1109/ASONAM.2014.6921572
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Productivity Correlation Accuracy Conferences Social network services Collaboration Color
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Automatic Classification of Scientific Groups as Productive: An Approach based on Motif Analysis

Novel approach of device collaboration based on device social network

Groups in Academic Social Networking Services--An Exploration of Their Potential as a Platform for Multi-disciplinary Collaboration

An Effective Expert Team Formation in Social Networks Based on Skill Grading

Motif-Based Analysis of Social Position Influence on Interconnection Patterns in Complex Social Network

A biased random walk recommender based on Rejection Sampling

Language independent gender classification on Twitter

Adaptive location recommendation algorithm based on location-based social networks

An Enhanced Content-Based Recommender System for Academic Social Networks

Automatic classification of scientific groups as productive: An approach based on motif analysis

Similar Documents

Automatic Classification of Scientific Groups as Productive: An Approach based on Motif Analysis

Novel approach of device collaboration based on device social network

Groups in Academic Social Networking Services--An Exploration of Their Potential as a Platform for Multi-disciplinary Collaboration

An Effective Expert Team Formation in Social Networks Based on Skill Grading

Motif-Based Analysis of Social Position Influence on Interconnection Patterns in Complex Social Network

A biased random walk recommender based on Rejection Sampling

Language independent gender classification on Twitter

Adaptive location recommendation algorithm based on location-based social networks

An Enhanced Content-Based Recommender System for Academic Social Networks

Automatic classification of scientific groups as productive: An approach based on motif analysis