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Scholarly collaboration amongst researchers in Kenya: a social network analysis

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Scholarly collaboration amongst researchers in Kenya: a social network analysis

Content Provider	ACM Digital Library
Author	Stilwell, Christine Kwanya, Tom
Abstract	In spite of the general understanding that collaboration and communication between researchers enhance research impact, information on the interactions of researchers in Kenya is unclear. This study investigated the social networks which currently exist amongst researchers in Kenya; their effectiveness; and how to maximise their potential for effective knowledge creation, sharing and learning. The researchers analysed the social networks using co-authorship as the indicator of collaboration among researchers in five leading international and national research institutions in Kenya. The analysis was based on entries in the online version of the Thomson Reuters Web of Knowledge using UCINET 6 for Windows Version 6.289. A search for the individual case organisations yielded a total of 1,386 documents. An analysis of the results revealed two loosely-knit networks with a density of 0.1026. This is a low social network density which indicates that most of the members are not connected with each other effectively. The low interconnectivity is corroborated by an aggregation analysis using UCINET which showed that the researcher with the highest number of ties has only four ties with the other researchers in the network while the majority had only one or two relationships. This shows that the researchers are not maximising the potential benefits of the interactions within the social network. The Kenyan government, research institutions, sponsors and other stakeholders should mainstream social networking in their research programmes by creating opportunities and means for interaction between researchers.
Starting Page	1
Ending Page	7
Page Count	7
File Format	PDF
ISBN	9781450348812
DOI	10.1145/3092090.3092096
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-07-17
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Research institutions Social network analysis Social network theory Collaboration Research impact Kenya
Content Type	Text
Resource Type	Article

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