Impact of Social Networks on Social Entrepreneurship Orientation of College Students in a Collectivist Society: Evidence From India

2020 ◽  
Author(s):  
Jaya Mathew ◽  
Dr. S Riasudeen
Keyword(s):  
College Students ◽  
Social Networks ◽  
Social Entrepreneurship ◽  
Collectivist Society

E-Mentoring Through a Network of Practice on Facebook

2015 ◽  
Vol 5 (1) ◽  
pp. 34-45 ◽  
Author(s):  
Hsun-Ming Lee ◽  
Mayur R. Mehta
Keyword(s):  
College Students ◽  
Social Networks ◽  
Social Networking ◽  
Social Networking Site ◽  
Mentoring Program ◽  
Current Generation ◽  
Recent Graduates ◽  
The Relationship

Facebook is the most popular social networking site, with more than 500 million active members. With its ability to easily manage multi-user social networks synchronously, it provides a fertile foundation to promote e-mentoring among the current generation of technology- and Facebook-astute students. This study reviews Network of Practice (NoP) theories to provide insights to a mentoring structure that facilitates the sharing and exchange of profession-related knowledge. A Facebook application was developed to conduct an experiment that examined factors that affect the performance of the mentoring program based on a NoP. A class of college students, which used the application to connect to recent graduates and industry experts, allowed us to observe and analyze live mentoring activities. The authors' findings indicated that the mentor's gender appeared to impact the relationship that developed between mentors and protégés via Facebook, and that the students were indifferent about the years of experiences of their mentors.

scholarly journals Group Relationship Mining of College Students Based on Predictive Social Network

2022 ◽  
Vol 2022 ◽  
pp. 1-9
Author(s):  
Huazhang Liu
Keyword(s):  
College Students ◽  
Social Networks ◽  
Social Network ◽  
Complex Network ◽  
Link Prediction ◽  
Rapid Development ◽  
Combination Method ◽  
Prediction Algorithm ◽  
The Social ◽  
Random Block

With the rapid development of the Internet, social networks have shown an unprecedented development trend among college students. Closer social activities among college students have led to the emergence of college students with new social characteristics. The traditional method of college students’ group classification can no longer meet the current demand. Therefore, this paper proposes a social network link prediction method-combination algorithm, which combines neighbor information and a random block. By mining the social networks of college students’ group relationships, the classification of college students’ groups can be realized. Firstly, on the basis of complex network theory, the essential relationship of college student groups under a complex network is analyzed. Secondly, a new combination algorithm is proposed by using the simplest linear combination method to combine the proximity link prediction based on neighbor information and the likelihood analysis link prediction based on a random block. Finally, the proposed combination algorithm is verified by using the social data of college students’ networks. Experimental results show that, compared with the traditional link prediction algorithm, the proposed combination algorithm can effectively dig out the group characteristics of social networks and improve the accuracy of college students’ association classification.

Learning Processes in Impact Communities

2019 ◽  
pp. 28-44
Author(s):  
Lídia Oliveira ◽  
Ana Luísa Rego Melro
Keyword(s):  
Social Networks ◽  
Knowledge Sharing ◽  
Social Entrepreneurship ◽  
Collaborative Work ◽  
Critical Mass ◽  
Learning Processes ◽  
Face To Face ◽  
The World ◽  
Engagement Process ◽  
New Challenges

Engagement processes are facing a lot of challenges since the boom of the IT. This is true when there is a face-to-face engagement process, but also when the ties are mostly virtual. Nowadays, access to social networks, platforms for content posting and sharing (blogs, wikis, etc.), and for collaborative work are changing the way people engage. Those tools have enriched the processes, but also initiated new challenges. Knowledge sharing and transfer are processes that occur when several factors are combined. One of them, and the most important, is the existence of human critical mass capable of thinking the world and finding ways of changing it for the better, in this specific case social entrepreneurship. The authors studied a pilot of an impact community, its path, and the challenges it has faced. They also implemented four interviews to specialists in the areas of networks, social entrepreneurship, and learning.

Utilizing Social Networks in Social Entrepreneurship

2019 ◽  
pp. 232-250
Author(s):  
Nuray Atsan
Keyword(s):  
Social Networks ◽  
Life Cycle ◽  
Social Entrepreneurship ◽  
Growth Process ◽  
Theoretical Framework ◽  
Social Enterprises ◽  
Network Approach ◽  
Social Entrepreneurs ◽  
Organizational Growth ◽  
Network Usage

This chapter focuses on the linkage between social networks and social entrepreneurship and argues that social networks are crucial in social entrepreneurship and social entrepreneurs rely on different compositions of social networks in different stages of the entrepreneurial process. Drawing from network approach in entrepreneurship, this chapter continues by exploring the theoretical framework including conceptualizations of social entrepreneurship and social networks. It then introduces evolution of social networks in comply with organizational growth process. As a result, the chapter discusses utilizing social networks in social entrepreneurship. The conclusion reflects on possible characteristics of network usage and composition through the life cycle of social enterprises.

Expanding Opportunities in a Shrinking World

2011 ◽  
pp. 491-507
Author(s):  
Avimanyu Datta ◽  
Len Jessup
Keyword(s):  
Social Networks ◽  
Theoretical Model ◽  
Social Networking ◽  
Virtual Environments ◽  
Social Entrepreneurship ◽  
Web Sites ◽  
Online Social Networks ◽  
Locating Information ◽  
The Relationship ◽  
Entrepreneurial Competency

The authors present a parsimonious theoretical model that illustrates how Internet-based virtual environments (such as social networking Web sites) moderate the relationship between social networks and social entrepreneurship. Social networks promote social entrepreneurship by means of (a) technology and knowledge transfer; (b) locating information; (c) generating entrepreneurial opportunities; (d) building entrepreneurial competency; (e) financing innovation; and (f) building effective networks for commercialization of innovations. Internet based virtual environments increase the velocity with which online social networks are formed and operationalized. They, thus, have a moderating effect in the relationship between social networks and social entrepreneurship. The authors also represent three concepts that are core to social networks: density, centrality, and heterogeneity. They posit that all three explain variance in social entrepreneurship and that Internet-based virtual environments moderate each of the relationships these three elements of social networks have with social entrepreneurship.

The Friendship Effect

2000 ◽  
Vol 5 (2) ◽  
pp. 13-18 ◽  
Author(s):  
W. Pitt Derryberry ◽  
Stephen J. Thoma
Keyword(s):  
College Students ◽  
Social Networks ◽  
Moral Judgment ◽  
College Environment ◽  
Moral Thinking ◽  
Research Results

The research results are clear: After four years of college, students experience growth in moral judgment. What isn't clear is why. What is it about going to college that contributes to the development of moral thinking? The authors point to something in the college environment that has little to do with the curriculum or the cocurriculum—students’ friendships and social networks.

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