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Analysis of Co-authorship Ego Networks [chapter]

Valerio Arnaboldi, Robin I. M. Dunbar, Andrea Passarella, Marco Conti
2016 Lecture Notes in Computer Science  
The aim of our analysis is to study a fundamental aspect of coauthorship networks, i.e. the structure of authors' ego networks.  ...  The availability of co-authorship data from large-scale electronic databases is paving the way for new analyses on human collaboration networks.  ...  Newman applied standard social network analysis tools to complete co-authorship graphs (not limited to ego networks), and his results are the first indication that co-authorship networks have high clustering  ... 
doi:10.1007/978-3-319-28361-6_7 fatcat:jlqy4nrmffffngnorlbll2m4l4

Exploratory Experiment on Co-Authorship Network using Social Network Analysis Metrics and Measures

Pritheega Magalingam, Ganthan Narayana Samy, Nurazean Maarop, Wan Nazirul Hafeez Wan Safie, Muhammad Khairul Rijal, Lim Yee Fang, Abdullah Sakib, Muhammad Yassin
2018 International Journal of Engineering & Technology  
This paper contributes in understanding and gaining meaningful insight about the relationship among the scientist in the co-authorship network using social network analysis.  ...  Our research is mainly guided by the creation of research issues, assessing the type of dataset and the objectives for presenting the co-authorship relationships.  ...  Acknowledgement The authors are grateful to the UTM AIS Social Network Analytics subject instructor in 2018 and also to UTM KL for providing access to the online database library for our research findings  ... 
doi:10.14419/ijet.v7i4.35.23108 fatcat:gcj5fwhccvgdpkxdefikrbdpce

What comes first the Co-authorship Network or the Citation?

Adam Butler, Guandong Xu, Xuezhong He
2017 Proceedings of the 4th Multidisciplinary International Social Networks Conference on ZZZ - MISNC '17  
Citation performance is more likely to be a result of co-authorship network dynamics rather than any perceived notion of "quality".  ...  This paper investigates and discusses the association between co-authorship networks and citations of institutions within an arbitrary, but defined, subject area.  ...  Perhaps it is time to begin the process of severing the umbilical cord that seems to exist between "quality" and citation counting.  ... 
doi:10.1145/3092090.3092133 fatcat:7ilcvby3xzf5rhjucmaaqhnk4u

The academic wanderer: structure of collaboration network and relation with research performance

Pavlos Paraskevopoulos, Chiara Boldrini, Andrea Passarella, Marco Conti
2021 Applied Network Science  
Our main finding is that there is a clear correlation between the structure of co-authorship ego networks and academic performance indices: the more one publishes and the higher their impact, the larger  ...  the standpoint of each individual researcher (referred to as ego network), in terms of the cognitive investment they devote to the different collaborations.  ...  Fig. 9 9 Productivity and co-authorship ego networks.  ... 
doi:10.1007/s41109-021-00369-4 fatcat:hfjminzdmjen7cmqs36r6xldpq

Coloured graphlet profiles as a predictor of career length in scientific co-authorship networks

Oliver Blanthorn, Eva Navarro-Lopez
2019 2019 4th World Conference on Complex Systems (WCCS)  
We present a method using the composition of coloured graphlets in ego-networks to characterise nodes.  ...  We give an example application using our technique to predict the numbers of years researchers are active from their collaboration networks, and compare our success with simpler metrics; particularly,  ...  Co-authorship networks A co-authorship network is a type of collaboration network whose nodes are authors and whose links signify co-authorship of a work.  ... 
doi:10.1109/icocs.2019.8930762 fatcat:sslp4og3sbeipjbyatpmy5dcji

Network Effects on Rhythms of Scientific Publications

Iulian Oană
2018 International Review of Social Research  
Thus, co-authorship ego networks are interpreted through the theoretical lenses of 'social time' (for temporality), and 'homophily' and 'preferential attachment' (for network characteristics).  ...  Results suggest that the structural features of the co-authorship networks can give us certain insights for the rhythmicity of publications.  ...  features of their co-authorship networks.  ... 
doi:10.2478/irsr-2018-0016 fatcat:5nlwtav4bzbknhcwq7zegyt6yu

Egocentric analysis of co-authorship network structure, position and performance

Alireza Abbasi, Kon Shing Kenneth Chung, Liaquat Hossain
2012 Information Processing & Management  
Results from our data analysis suggest that research performance of scholars' is significantly correlated with scholars' ego-network measures.  ...  Furthermore, scholars with efficient collaboration networks who maintain a strong co-authorship relationship with one primary co-author within a group of linked co-authors (i.e., co-authors that have joint  ...  In order to address this question, we used co-authorship data and social network analysis measures. The co-authorship data is used to derive the collaboration network of researchers.  ... 
doi:10.1016/j.ipm.2011.09.001 fatcat:pvki2qbxyfglnhg73djufkyteu

Middle of the (by)line: Examining hyperauthorship networks in the human genome project

Ly Dinh, Yi-Yun Cheng
2018 Proceedings of the Association for Information Science and Technology  
We conduct a co-authorship network analysis to capture collaboration patterns among all the authors involved in the chromosome 1 study. In this network, node !  ...  RESULTS The co-authorship network created from the dataset above is the result of combining 166 different ego-networks of 166 original authors listed on the chromosome 1 paper byline (Figure 2 ).  ... 
doi:10.1002/pra2.2018.14505501118 fatcat:2xowb5p235cojklqt2zqk6mom4

Social Capital and Individual Performance: A Study of Academic Collaboration [article]

Alireza Abbasi, Liaquat Hossain, Rolf Wigand
2011 arXiv   pre-print
To overcome the limitations of traditional social network metrics for measuring the influence of scholars' social capital within their co-authorship network, we extend the traditional social network metrics  ...  Thus, we examine whether scholars' social capital is associated with their citation-based performance, using co-authorship and citation data.  ...  In a co-authorship network, network size of an author is the number of her co-authors.  ... 
arXiv:1112.2460v1 fatcat:jjkx5ualefdvxa6hd72y5chjou

On the Formation of Circles in Co-authorship Networks [article]

Tanmoy Chakraborty, Sikhar Patranabis, Pawan Goyal, Animesh Mukherjee
2015 arXiv   pre-print
The model is built from a rich co-authorship network data of more than 8 hundred thousand authors.  ...  An effective method could be to have one's co-authorship network arranged into a set of "circles", which has been a recent practice for organizing relationships (e.g., friendship) in many online social  ...  Ego network: The next step is the construction of ego networks from the co-authorship network.  ... 
arXiv:1505.04560v1 fatcat:amy4cyvyybb6xjwxt3k4uo2bjq

Identifying collaboration dynamics of bipartite author-topic networks with the influences of interest changes

Diana Purwitasari, Chastine Fatichah, Surya Sumpeno, Christian Steglich, Mauridhi Hery Purnomo
2020 Scientometrics  
We present longitudinal network analysis on the observed collaborations through co-authorship over 15 years.  ...  Then, the next step is to generate panel-waves of co-author networks and bipartite author-topic networks for the longitudinal analysis.  ...  Ministry of Research, Technology and Higher Education of the Republic of Indonesia (RISTEKDIKTI in Indonesian).  ... 
doi:10.1007/s11192-019-03342-2 fatcat:gdbqmqxbobck3dnitdj2yekimy

PhD students in life sciences can benefit from team cohesion

Zsófia Viktória Vida, István Péter Járay, Balázs Lengyel
2021 F1000Research  
Here we take a social network analysis approach to investigate this and define the research team as the co-authorship network of the student.  ...  Using this data, we quantify cohesion in the ego-network of PhD students, the impact measured by citations received, and productivity measured by number of publications.  ...  Acknowledgements The authors acknowledge the kind help of Gusztáv Ladányi in collecting the bibliometric data and Dániel Horváth in matching the bibliometric data with thesis defense data.  ... 
doi:10.12688/f1000research.53743.1 fatcat:yczl5wneqndz3mv2f4d4tkez6u

Reaching Out from a Small Scientific Community: The Social Influence Models of Collaboration across National and Disciplinary Boundaries for Scientists in Three Fields of Social Sciences
Dosezanje izvan male znanstvene zajednice: modeli društvenog utjecaja na suradnju preko nacionalnih i disciplinarnih granica kod znanstvenika iz triju polja društvenih znanosti

Srebrenka Letina, Garry Robins, Darja Maslić Seršić
2016 Revija za Sociologiju  
Methodological issues in co-authorship network analysis are discussed and directions for future research are proposed.  ...  The aim of this study was to investigate the network effects in three disciplinary scientific communities in social sciences in Croatia on the probability of scientists to establish co-authorship/collaboration  ...  We thank Krešimir Zauder for the help provided during the preparation and formatting of the data for social network analysis.  ... 
doi:10.5613/rzs.46.2.1 fatcat:bjx3vbtxuvftvgv2ccthyyu72i

Homophily in co-autorship networks

Adelina-Alexandra Stoica
2018 International Review of Social Research  
I have chosen co-authorship networks as a subject of research because they have a great influence on knowledge and on the diffusion of ideas.  ...  Ego-network analysis was used as research design. The data was analyzed using linear hierarchical regression.  ...  Another important idea that can be highlighted by this kind of analysis is the observation of the best connected actors, which play an important role in the co-authorship networks.  ... 
doi:10.2478/irsr-2018-0014 fatcat:5pzwvsdq5zddtferehohkaepvq

On the permanence of vertices in network communities

Tanmoy Chakraborty, Sriram Srinivasan, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick
2014 Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '14  
The model is built from a rich co-authorship network data of more than 8 hundred thousand authors.  ...  An effective method could be to have one's co-authorship network arranged into a set of "circles", which has been a recent practice for organizing relationships (e.g., friendship) in many online social  ...  Ego network: The next step is the construction of ego networks from the co-authorship network.  ... 
doi:10.1145/2623330.2623707 dblp:conf/kdd/00020GMB14 fatcat:coz2d64vubbnplcol2zulq6hja
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