scholarly journals A Study on Knowledge Quality and Job Performance of Knowledge Workers by Analyzing Content of Social Network Sites Using Sentiment Network Analysis

2013 ◽  
Vol 5 (11) ◽  
pp. 525-530
Author(s):  
Renn Aun Justin ◽  
Tong-Ming Lim .
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Job Performance ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Knowledge Workers ◽  
Social Network Sites ◽  
Research Area ◽  
Knowledge Quality

The importance of knowledge quality has become a key research area in recent research works. Many organizations realize that benefits of knowledge creation and sharing cannot be obtained unless quality of knowledge is achieved. This research investigates the perception of knowledge workers that uses social network sites as a means for social interaction, collaboration and knowledge sharing. The entries posted by these knowledge workers on the social network sites are gathered and studied with the presence of the element of sentiment such as emotion using sentiment network analysis. Based on the analysis, the results investigate the relationship between sentiment and quality of knowledge shared among knowledge workers on social networking sites and individual job performance. This research will analyse the improvements of employees’ job performance through the quality knowledge using interview, questionnaire survey, and text analysis to look for conversational patterns and element of sentiment. This research will investigate a number of knowledge driven companies that use social network sites. Structural Equation Modelling (SEM) is used to analyse responses collected from survey data.

The impact of the social network, stigma and empowerment on the quality of life in patients with schizophrenia

2011 ◽  
Vol 26 (1) ◽  
pp. 28-33 ◽  
Author(s):  
I. Sibitz ◽  
M. Amering ◽  
A. Unger ◽  
M.E. Seyringer ◽  
A. Bachmann ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Social Network ◽  
Structural Equation ◽  
Internalized Stigma ◽  
Stigma Reduction ◽  
Equation Modelling ◽  
The Social ◽  
Recovery Approach ◽  
The Impact

Abstract:Objective:The quality of life (QOL) of patients with schizophrenia has been found to be positively correlated with the social network and empowerment, and negatively correlated with stigma and depression. However, little is known about the way these variables impact on the QOL. The study aims to test the hypothesis that the social network, stigma and empowerment directly and indirectly by contributing to depression influence the QOL in patients with schizophrenia and schizoaffective disorders.Method:Data were collected on demographic and clinical variables, internalized stigma, perceived devaluation and discrimination, empowerment, control convictions, depression and QOL. Structural equation modelling (SEM) was applied to examine the impact of the above-mentioned constructs on QOL.Results:The influences of the social network, stigma, empowerment and depression on QOL were supported by the SEM. A poor social network contributed to a lack of empowerment and stigma, which resulted in depression and, in turn, in poor QOL. Interestingly, however, the social network and stigma did not show a direct effect on QOL.Conclusions:Following a recovery approach in mental health services by focusing on the improvement of the social network, stigma reduction and especially on the development of personal strength has the potential to reduce depression in patients with psychosis and improving their QOL.

scholarly journals Pemanfaatan Social Network Analysis (SNA) Untuk Menganalisis Kolaborasi Panitia Pengawas Pilkada Tahun 2020 di Kecamatan Gunungpati Kota Semarang

2021 ◽  
Vol 14 (2) ◽  
pp. 244-255
Author(s):  
Lukman Santoso ◽  
Reni Veliyanti
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
High Category ◽  
Committee Network ◽  
Flow Of Information

The implementation of the 2020 Pilkada in Gunungpati District as a whole has improved in terms of the quality of its implementation. This is the result of the cooperation of all competent parties at the sub-district and village levels. This study aims to analyze the collaboration of the Supervisory Committee for the Election of Governors and Deputy Governors in 2020, Gunungpati District and to understand in depth the flow of information using Social Network Analysis (SNA). The results showed that the overall density of the supervisory committee network was 0.53 or 53%, so the characteristics of the network of members of the Panwaslu Kec.Gunungpati network were in the high category. Panwaslu members with the initials DAP, RV, WPU and M are the most dominant members of the Panwaslu with values of Centrality, Closeness and Betweness Centrality in the network.  

Preparing Trainee Translators for the Job Market

2018 ◽  
pp. 137-167
Author(s):  
Bryan J. Robinson ◽  
M. Dolores Olvera-Lobo
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Online Survey ◽  
Interpersonal Relations ◽  
Team Cohesion ◽  
Job Market ◽  
Friendship Relations ◽  
Professional Workplace

Competence-based learning contrasts radically with content-focused education. Today's undergraduate programmes take a multidisciplinary approach that imbues learning with input from the professional workplace. This chapter describes possibly the first social network analysis of trainee translators participating in an intensive, randomised teamwork experience centred on project-based, cooperative learning. An online survey gathered data and perceptions of the teamwork experience and of interpersonal relations. Participants describe friendship relations, the quality of their peers' performance in professional roles, and their preferences with regard to the roles, and these are contrasted within the teams. These indicators of intra-team cohesion are compared with course-final achievement. Results indicate that the strengthening of friendship ties accompanies greater cohesion in teams and may be associated with higher achievement. This suggests that a multidisciplinary focus on teamwork competences enhances learners' professional prospects.

Ascertaining Trust Indicators in Social Networking Sites

2013 ◽  
Vol 3 (2) ◽  
pp. 22-37
Author(s):  
N. Veerasamy ◽  
W. A. Labuschagne
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Social Networking Sites ◽  
Social Network Sites ◽  
Specific Focus

The use of social network sites has exploded with its multitude of functions which include posting pictures, interests, activities and establishing contacts. However, users may be unaware of the lurking dangers of threats originating from Social Networking Sites (SNS) which include malware or fake profiles. This paper investigates the indicators to arouse suspicion that a social networking account is invalid with a specific focus on Facebook as an illustrative example. The results from a survey on users’ opinions on social networks, is presented in the paper. This helps reveal some of the trust indicators that leads users to ascertaining whether a social networking profile is valid or not. Finally, indicators of potentially deceptive agents and profiles are given as a guideline to help users decide whether they should proceed with interaction with certain contacts.

Understanding Researchers Collaboration in eParticipation using Social Network Analysis

2015 ◽  
Vol 11 (4) ◽  
pp. 38-68
Author(s):  
Eleni Kaliva ◽  
Dimitrios Katsioulas ◽  
Efthimios Tambouris ◽  
Konstantinos Tarabanis
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Research Area ◽  
Core Network ◽  
Academic Field ◽  
The Social ◽  
High Degree ◽  
Political Priority ◽  
Scientific Collaborations

Over the past years electronic participation (eParticipation) became a political priority worldwide. Consequently, research on the field has dramatically grown. However, eParticipation is still an unconsolidated research area that lacks generally agreed upon definitions, research disciplines, methods and boundaries. The aim of this paper is to contribute to the establishment of the eParticipation identity by investigating the scientific collaborations in the domain. The study of the nature of academic collaboration reveals the structure and the intellectual roots of the research community and the most influential authors. The approach followed in this paper includes the construction of the co-authorship network and the calculation of the social network analysis (SNA) metrics that describe the nature of the collaboration. The results revealed that eParticipation is a rather active academic field in the last decade including a high degree of collaboration and a core network of very influential researchers.

scholarly journals Strengths and weaknesses of the Net-Map tool for participatory social network analysis in resource management: Experience from case studies conducted on four continents

2018 ◽  
Vol 11 (2) ◽  
pp. 205979911878775 ◽  
Author(s):  
Barbara Schröter ◽  
Claudia Sattler ◽  
Frieder Graef ◽  
Cheng Chen ◽  
Estephania Delgadillo ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Face To Face ◽  
Directed Information ◽  
Management Experience ◽  
Participatory Network ◽  
Network Mapping ◽  
Depth Interviews

For researchers, conducting face-to-face interviews is always a challenge as it often turns into a one-way directed information retrieval. Therefore, interviewees not always are very motivated, enthusiastic and cooperative in responding to the questions. In the end, this has implications for the quality of the interview data. To improve the interview setting and the resulting data, in several projects the Net-Map tool was used to conduct participatory social network analysis. The tool is a combination of in-depth interviews and participatory network mapping. During the interviews, the interviewee draws the network of relevant actors, notes down their motivations and evaluates and displays the actors’ influence and benefits by building towers using any kind of stacks. In this research note, we present the strengths and weaknesses of the method against the experiences with applying the Net-Map tool on four different continents and give ideas for improvements and further research.

scholarly journals Agonistic Interactions in Pigs–Comparison of Dominance Indices with Parameters Derived from Social Network Analysis in Three Age Groups

Animals ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. 929 ◽  
Author(s):  
Kathrin Büttner ◽  
Irena Czycholl ◽  
Katharina Mees ◽  
Joachim Krieter
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Structural Equation ◽  
Dominance Hierarchy ◽  
Rank Order ◽  
Group Structure ◽  
Age Groups ◽  
Agonistic Interactions ◽  
Dominance Indices

Dominance indices are often calculated using the number of won and lost fights of each animal focusing on dyadic interactions. Social network analysis provides new insights into the establishment of stable group structures going beyond the dyadic approach. Thus, it was investigated whether centrality parameters describing the importance of each animal for the network are able to capture the rank order calculated by dominance indices. Therefore, two dominance indices and five centrality parameters based on two network types (initiator-receiver and winner-loser networks) were calculated regarding agonistic interactions observed in three mixing events (weaned piglets, fattening pigs, gilts). Comparing the two network types, the winner-loser networks demonstrated highly positive correlation coefficients between out-degree and outgoing closeness and the dominance indices. These results were confirmed by partial least squares structural equation modelling (PLS-SEM), i.e., about 60% of the variance of the dominance could be explained by the centrality parameters, whereby the winner-loser networks could better illustrate the dominance hierarchy with path coefficients of about 1.1 for all age groups. Thus, centrality parameters can portray the dominance hierarchy providing more detailed insights into group structure which goes beyond the dyadic approach.

scholarly journals Marketing Sports Products on Facebook: The Effect of Social Influence

2014 ◽  
Vol 61 (1) ◽  
pp. 65-73 ◽  
Author(s):  
Chew Swee Seng ◽  
Leng Ho Keat
Keyword(s):  
Social Network ◽  
Social Influence ◽  
Purchase Intention ◽  
Social Network Sites ◽  
Consumer Perception ◽  
Control Group ◽  
Additional Information ◽  
Perception Of Quality ◽  
Sports Shoes

Abstract There has been an increase in the use of social network sites as a marketing medium for commercial products and services. The aim of this paper is to examine the effectiveness of social network sites in influencing both consumer perception of quality of sports products and consumer intention to purchase sports products. A Facebook page of a fictitious brand of sports shoes was set up. The control group (n=57) was exposed to a page with only minimal information about sports shoes while the experimental group (n=59) was presented with additional information on the wall page consisting of ‘likes’ votes and positive comments about sports shoes. The findings suggest that online social influence not only can affect consumer perception of quality of a sports brand but also consumer buying intention. However, the effect that social influence has on purchase intention is limited to consumers with a low level of sports involvement and participation.

Facebook Addiction: A Reply to Griffiths (2012)

2013 ◽  
Vol 113 (3) ◽  
pp. 899-902 ◽  
Author(s):  
Cecilie Schou Andreassen ◽  
Ståle Pallesen
Keyword(s):  
Social Network ◽  
Social Networking ◽  
Social Networking Sites ◽  
Social Network Sites ◽  
Future Research ◽  
Social Network Site ◽  
Network Site ◽  
Facebook Addiction ◽  
Shed Light

Our recent paper about a new Facebook addiction scale has stimulated an interesting and very welcome debate among researchers concerning the assessment of excessive use of social networking sites. The critique put forward by Griffiths (2012) is mainly built on the conception of “Facebook” as too narrow of a concept, and that assessment of addiction to social network sites in general would be more appropriate. We argue that the concept of “social network site” is not more specific than “Facebook,” so “Facebook addiction” rather than “social network addiction” is defensible. We acknowledge that more research in this area is needed and point specifically to new and important directions for future research that can shed light on the mechanism of addiction to social network sites.

Academics and their online networks: Exploring the role of academic social networking sites

First Monday ◽  
2014 ◽  
Author(s):  
Katy Jordan
Keyword(s):  
Community Structure ◽  
Social Network ◽  
Network Analysis ◽  
Social Networking ◽  
Network Structure ◽  
Social Networking Sites ◽  
Rapid Rise ◽  
Online Networks ◽  
Peripheral Position

The rapid rise in popularity of online social networking has been followed by a slew of services aimed at an academic audience. This project sought to explore network structure in these sites, and to explore trends in network structure by surveying participants about their use of sites and motivations for making connections. Social network analysis revealed that discipline was influential in defining community structure, while academic seniority was linked to the position of nodes within the network. The survey revealed a contradiction between academics use of the sites and their position within the networks the sites foster. Junior academics were found to be more active users of the sites, agreeing to a greater extent with the perceived benefits, yet having fewer connections and occupying a more peripheral position in the network.

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