scholarly journals Exploring Social Relationships in “a Mixed Way”: Mixed Structural Analysis

2020 ◽  
Author(s):  
Dominik Emanuel Froehlich
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Structural Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
Mixed Method ◽  
Research Designs ◽  
Additional Input

While the concept of mixed method social network analysis (MMSNA) is gaining in popularity, there is a notable lack of specific mixed research designs that guide the implementation of MMSNA. In this chapter, I draw from qualitative social network analysis, specifically, qualitative structural analysis, and expand it towards a mixed research design. This change, which requires relatively little additional input, fulfills several important purposes at the same time, and hence may be conducive in increasing the overall quality of a study.

scholarly journals Eliciting data on social relationships: The use of hand-drawn network maps in tracing the perception of digitally mediated social ties

2016 ◽  
Vol 6 (4) ◽  
pp. 256-268 ◽  
Author(s):  
Cornelia Reyes
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
Methodological Approach ◽  
Methodological Framework ◽  
Recall Data ◽  
The Impact ◽  
Convincing Data

Abstract The emergence of online social networking platforms established a new way of identifying ourselves as being related to other individuals. Previous research has looked at the impact these ‘networking’ applications have on individuals’ everyday lives. Nonetheless, obtaining convincing data on how individuals assess the quality of digitally mediated social relationships has often been perceived challenging. Drawing on a methodological framework rooted in a social network analysis approach, this paper traces the suitability of hand-drawn network maps for eliciting data on how individuals give meaning to digitally mediated social relationships by comparing it to traditional tools used in social network analysis. The results show that using hand-drawn network maps in this particular context provides respondents with a more tangible resource to recall data on digitally mediated social relationships. In particular, this methodological approach elicits substantial data on abstract thematic areas that are typically difficult to recall using standardised techniques.

scholarly journals Qualitative Methods and Visualizations in the Study of Friendship Networks

2016 ◽  
Vol 21 (2) ◽  
pp. 198-216 ◽  
Author(s):  
Elisa Bellotti
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
Mixed Method ◽  
Social Structures ◽  
Personal Networks ◽  
Friendship Networks ◽  
Depth Interviews ◽  
Method Approach

One of the most powerful aspects of social network data is the fact that they can reproduce social relationships in a formal and comparable way. Relational matrices abstract from the hustle and bustle of everyday interaction, and systematise information in terms of presence or absence of ties expressing them in a directed or undirected, binary or valued form. While the formal approach represents an advantage of social network analysis, as it allows bracketing off the idiosyncratic and subjective content of social structures, the mathematization of the complex nature of social relationships has also been criticised for the lack of engagement with the subjective meaning and context of relationships. Such stream of critique has called for an increase of use of qualitative methods in social network research. The first goal of the paper is to address these critiques by rebalancing the argument and showing how social network analysis has always engaged with both formal and contextual aspects of social structures. The paper reviews some theoretical perspectives that discuss and systematise a mixed method approach, and explores the methodological advantages of using network visualizations together with qualitative interviews in the collection, analysis and interpretation of personal networks. The advantages of adopting a mixed method approach are illustrated over some examples of friendship networks of 23 single male and female people collected in Milan, Italy, in 2005. A classic name generator is used to reconstruct their egonets of friends, and the visualization is adopted as the input for in-depth interviews with specific attention devoted to the meaning of friendship relationships, the kind of resources they offer, the conflicts and constrains they entail, and how they have developed and evolved over time. By comparing information obtained respectively with name generators and in-depth interviews, the paper shows how the mix of data improves and specify the understanding of personal networks.

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.

Social Network Analysis in Marketing

E-Marketing ◽  
2012 ◽  
pp. 185-197
Author(s):  
Przemyslaw Kazienko ◽  
Piotr Doskocz ◽  
Tomasz Kajdanowicz
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
Network Data ◽  
Social Network Data ◽  
The Social ◽  
Targeted Marketing ◽  
Potential Customers ◽  
Demographic Features

The chapter describes a method how to perform a classification task without any demographic features and based only on the social network data. The concept of such collective classification facilitates to identify potential customers by means of services used or products purchased by the current customers, i.e. classes they belong to as well as using social relationships between the known and potential customers. As a result, a personalized offer can be prepared for the new clients. This innovative marketing method can boost targeted marketing campaigns.

Web Mining and Social Network Analysis

Data Mining ◽  
2013 ◽  
pp. 326-335
Author(s):  
Roberto Marmo
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
Web Mining ◽  
Social Network Mining ◽  
Data Mining Algorithms ◽  
Instant Messenger ◽  
Mining Algorithms

Research on social networks has advanced significantly due to wide variety of on-line social websites and very popular Web 2.0 application. Social network analysis views social relationships in terms of network and graph theory about nodes (individual actors within the network) and ties (relationships between the actors). Using web mining techniques and social networks analysis it is possible to process and analyze large amount of social data (such as blogtagging, online game playing, instant messenger etc.) and by this to discover valuable information from data. In this way, we can understand the social structure, social relationships and social behaviors. This new approach is also denoted as social network mining. These algorithms differ from established set of data mining algorithms developed to analyze individual records, because social network datasets are called relational due to centrality of relations among entities. This chapter also sets out a process to apply web mining.

Social Network Analysis in Marketing

2011 ◽  
pp. 271-283
Author(s):  
Przemyslaw Kazienko ◽  
Piotr Doskocz ◽  
Tomasz Kajdanowicz
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
Network Data ◽  
Social Network Data ◽  
The Social ◽  
Targeted Marketing ◽  
Potential Customers ◽  
Demographic Features

The chapter describes a method how to perform a classification task without any demographic features and based only on the social network data. The concept of such collective classification facilitates to identify potential customers by means of services used or products purchased by the current customers, i.e. classes they belong to as well as using social relationships between the known and potential customers. As a result, a personalized offer can be prepared for the new clients. This innovative marketing method can boost targeted marketing campaigns.

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 Lengthy leader male tenure delays male offspring dispersal in a primate multilevel society

Behaviour ◽  
2019 ◽  
Vol 156 (13-14) ◽  
pp. 1371-1391
Author(s):  
Gu Fang ◽  
Xiao-Min Gao ◽  
Dong Zhang ◽  
Derek Dunn ◽  
Ruliang Pan ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
Kin Selection ◽  
World Monkey ◽  
Male Offspring ◽  
Monkey Species ◽  
Male Dispersal ◽  
Multilevel Society

Abstract Natal dispersals are male-biased in most Old World monkey species, especially those that are polygynous. We examined patterns of male dispersal in golden snub-nosed monkeys, in which male offspring mainly disperse as juveniles from their natal one-male units (OMUs) to a bachelor group. However, out of a total of 112 male dispersals from 2001–2016, we documented six cases in which male offspring remained in their natal OMU until sub-adulthood. Based on monitoring of dispersal dynamics, we found that male offspring were more likely to delay dispersal if the tenure of leader males was lengthy. Social network analysis showed male offspring who delayed dispersal exhibited strong social relationships with each other and their OMU leader male but not with the females of their OMU. Our results suggest that the length of leader male tenure may affect natal male dispersal due to benefits to leader males accrued via intrasexual competition and kin selection.

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