sonSQL: An Extensible Relational DBMS for Social Network Start-Ups

2013 ◽  
pp. 495-498
Author(s):  
Zhifeng Bao ◽  
Jingbo Zhou ◽  
Y. C. Tay
Keyword(s):  
Social Network ◽  
Start Ups

THE EFFECTS OF FOUNDER-CEO ATTRIBUTES ON ALLIANCE FORMATION OF VENTURE START-UPS: A SOCIAL NETWORK PERSPECTIVE.

2009 ◽  
Vol 2009 (1) ◽  
pp. 1-7 ◽  
Author(s):  
KWANGJUNE AHN ◽  
HEEWON CHAE ◽  
JAEYONG SONG ◽  
THERESA S. CHO
Keyword(s):  
Social Network ◽  
Alliance Formation ◽  
Start Ups ◽  
Ceo Attributes

scholarly journals How Student Entrepreneurs Develop Their Social Network Over Time During the Process of Starting a Company

2018 ◽  
Vol 4 (1) ◽  
pp. 68 ◽  
Author(s):  
Martin Haring
Keyword(s):  
Social Network ◽  
Social Networking ◽  
Longitudinal Research ◽  
Weak Ties ◽  
Longitudinal Case Study ◽  
Business World ◽  
Individual Level ◽  
Successful Student ◽  
Student Entrepreneurs ◽  
Start Ups

Recent studies have focused on which networks would help entrepreneurs to become successful and what would be the best mix of strong ties and weak ties to build an organization upon. With this longitudinal research we add insights into the process of network development on an individual level and complement earlier research on this topic.This article explores the development of strong and weak ties in the social network of student entrepreneurs and the role five mechanisms of social networking play in the process of opportunity recognition, resource mobilization and gaining legitimacy, through a longitudinal case study among 17 student start-ups in the period 2009-2013.All student entrepreneurs started their businesses in the last two years of their bachelor education, part of a venture creation program. They were interviewed directly after they had started their businesses, and their activities were monitored while they were developing their businesses and networks over a period of three years.This study adds to the current social network literature by analyzing how student entrepreneurs use social networking while being involved in the entrepreneurial process of starting a business and especially make use of the advantages of being a student, i.e. being part of the network and having access to the resources of the university. Successful student entrepreneurs distinguish themselves of the rest by keeping on adding valuable connections to their network, having no fear in asking for help and profiting of the goodwill in the business world towards student entrepreneurs.This article can be of use for both academics and practitioners.

The Corporate Social Network (CSN) in SME's

2017 ◽  
pp. 33-52
Author(s):  
Isabelle Choquet ◽  
Jacques Folon
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Knowledge Sharing ◽  
Collective Intelligence ◽  
Early Stage ◽  
Efficient Tool ◽  
Start Up ◽  
The Creation ◽  
Corporate Social ◽  
Start Ups

The authors intend to demonstrate that corporate social networks (CSN) are a very efficient tool for SME's and start-ups, since their early launch. They will immediately create an interactive structure and a culture of collective intelligence. The chapter aims at revealing how SMEs or start-ups are able to capture the opportunities provided by CSNs, perceived as proximity social networks. The research investigates if the use of CSN at the launch of the SME promotes the development of a collective intelligence culture, but also if several CSN may coexist within the same structure according to the needs encountered: “above-the-flow” approach (dialogue, exchanges) or “in the flow” approach (integration of workflow and document). The authors strongly believe that CSN has to be introduced by a web entrepreneur at the early stage of creation of his start-up, because it supports the scaling of the business, allowing the creation of a knowledge sharing culture, making the knowledge available inside the company.

The social network

2013 ◽  
Vol 44 (2) ◽  
pp. 22
Author(s):  
ALAN ROCKOFF
Keyword(s):  
Social Network ◽  
The Social

Abstract #1249: Novel Use of Physician Social Network Data to Map the Gap in the Endocrinology Workforce

2015 ◽  
Vol 21 ◽  
pp. 301
Author(s):  
Armand Krikorian ◽  
Lily Peng ◽  
Zubair Ilyas ◽  
Joumana Chaiban
Keyword(s):  
Social Network ◽  
Network Data ◽  
Social Network Data

Correlating Personality and Actual Phone Usage

2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  
Keyword(s):  
Big Data ◽  
Social Network ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Self Report ◽  
Psychological Variables ◽  
New Approach ◽  
Report Data ◽  
Self Report Data ◽  
Voice Calls

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.

Extraverts Have Larger Social Network Layers

2011 ◽  
Vol 32 (3) ◽  
pp. 161-169 ◽  
Author(s):  
Thomas V. Pollet ◽  
Sam G. B. Roberts ◽  
Robin I. M. Dunbar
Keyword(s):  
Social Network ◽  
Social Relationships ◽  
Outer Layer ◽  
Network Size ◽  
Emotional Intensity ◽  
Emotional Closeness ◽  
Network Layer ◽  
Network Layers ◽  
Social Network Size

Previous studies showed that extraversion influences social network size. However, it is unclear how extraversion affects the size of different layers of the network, and how extraversion relates to the emotional intensity of social relationships. We examined the relationships between extraversion, network size, and emotional closeness for 117 individuals. The results demonstrated that extraverts had larger networks at every layer (support clique, sympathy group, outer layer). The results were robust and were not attributable to potential confounds such as sex, though they were modest in size (raw correlations between extraversion and size of network layer, .20 < r < .23). However, extraverts were not emotionally closer to individuals in their network, even after controlling for network size. These results highlight the importance of considering not just social network size in relation to personality, but also the quality of relationships with network members.

The Multilevel p2 Model

Methodology ◽  
2006 ◽  
Vol 2 (1) ◽  
pp. 42-47 ◽  
Author(s):  
Bonne J. H. Zijlstra ◽  
Marijtje A. J. van Duijn ◽  
Tom A. B. Snijders
Keyword(s):  
Social Network ◽  
Network Data ◽  
Mcmc Algorithm ◽  
Independent Observation ◽  
Single Observation ◽  
Multiple Networks ◽  
Social Network Data ◽  
Multiple Observations ◽  
Practical Support ◽  
The Social

The p 2 model is a random effects model with covariates for the analysis of binary directed social network data coming from a single observation of a social network. Here, a multilevel variant of the p 2 model is proposed for the case of multiple observations of social networks, for example, in a sample of schools. The multilevel p 2 model defines an identical p 2 model for each independent observation of the social network, where parameters are allowed to vary across the multiple networks. The multilevel p 2 model is estimated with a Bayesian Markov Chain Monte Carlo (MCMC) algorithm that was implemented in free software for the statistical analysis of complete social network data, called StOCNET. The new model is illustrated with a study on the received practical support by Dutch high school pupils of different ethnic backgrounds.

Learning Conversation and Shared Network Leadership

2010 ◽  
Vol 9 (4) ◽  
pp. 181-194 ◽  
Author(s):  
Jürgen Weibler ◽  
Sigrid Rohn-Endres
Keyword(s):  
Qualitative Research ◽  
Grounded Theory ◽  
Social Network ◽  
Interorganizational Networks ◽  
Original Network ◽  
High Quality ◽  
Qualitative Research Design ◽  
Collective Processes ◽  
Shared Network ◽  
Practical Implications

This paper develops an understanding of how shared leadership emerges in social network interactions. On the basis of a qualitative research design (grounded theory methodology – GTM) our study in two interorganizational networks offers insights into the interplay between structures, individuals, and the collective for the emergence of shared network leadership (SNL). The network-specific Gestalt of SNL appears as a pattern of collective and individual leadership activities unified under the roof of a highly developed learning conversation. More importantly, our findings support the idea that individual network leadership would not emerge without embeddedness in certain high-quality collective processes of relating and dialogue. Both theoretical and practical implications of this original network leadership perspective are discussed.

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