scholarly journals USING SOCIAL NETWORK ANALYSIS TO ASSESS THE BENEFITS OF SOCIAL RELATIONSHIPS IN AN INTERGENERATIONAL DEMENTIA CHOIR

2018 ◽  
Vol 2 (suppl_1) ◽  
pp. 212-213
Author(s):  
A Smith ◽  
D Sheets ◽  
S W S MacDonald ◽  
M Kennedy
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relationships

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 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.

Social Network Analysis in Egyptology: Benefits, Methods and Limits

2019 ◽  
Vol 105 (1) ◽  
pp. 83-96
Author(s):  
Vincent Chollier
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
Empirical Method ◽  
Ancient Egypt ◽  
Centrality Measures ◽  
Defining Relations ◽  
The Family ◽  
Kinship Terminology

This article aims at presenting a methodology for Social Network Analysis (SNA) applied to Egyptology and ancient societies studies, with its benefits and issues. One of the big issues dealing with social relationships in ancient Egypt lies in the use of kinship terminology defining relations outside the family. In that sense, SNA allows researchers to partially set aside links values contrary to traditional genealogical studies, especially for the graphical projection. Thus, biological and social brothers do not have to be distinguished using this method, although this distinction is often impossible to do. It then presents an empirical method developed using this branch of sociology on an Egyptological dataset dating back from the New Kingdom. With the help of centrality measures, SNA enabled attention to be drawn to secondary role characters at the first sight of the hieroglyphic documentation. However, studying such a type of documentation requires a cautious approach, especially regarding the nature and aim of the sources available.

scholarly journals Linking Quantitative and Qualitative Network Approaches: A Review of Mixed Methods Social Network Analysis in Education Research

2020 ◽  
Vol 44 (1) ◽  
pp. 244-268 ◽  
Author(s):  
Dominik E. Froehlich ◽  
Sara Van Waes ◽  
Hannah Schäfer
Keyword(s):  
Education Research ◽  
Social Network ◽  
Mixed Methods ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
Mixed Methods Research ◽  
Qualitative Approaches ◽  
Research Questions ◽  
Network Approaches

Social network analysis (SNA) is becoming a prevalent method in education research and practice. But criticism has been voiced against the heavy reliance on quantification within SNA. Recent work suggests combining quantitative and qualitative approaches in SNA—mixed methods social network analysis (MMSNA)—as a remedy. MMSNA is helpful for addressing research questions related to the formal or structural side of relationships and networks, but it also attends to more qualitative questions such as the meaning of interactions or the variability of social relationships. In this chapter, we describe how researchers have applied and presented MMSNA in publications from the perspective of general mixed methods research. Based on a systematic review, we summarize the different applications within the field of education and learning research, point to potential shortcomings of the methods and its presentation, and develop an agenda to support researchers in conducting future MMSNA research.

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 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.

Criminal Networks

2020 ◽  
pp. 615-632
Author(s):  
Chris M. Smith ◽  
Andrew V. Papachristos
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
Criminal Behavior ◽  
Theoretical Orientations ◽  
Criminal Networks ◽  
Future Directions ◽  
Criminal Organizations ◽  
Criminal Groups

Social network analysis identifies and explains criminal behavior and criminal groups as an outcome of social relationships that are structured beyond the characteristics of individuals engaged in crime. This chapter takes stock of research using social network analysis to study criminal organizations and groups of criminals, considers the innovations in measuring criminal groups, discusses the limitations of criminal network data, and classifies theoretical orientations used in the field. The chapter discusses the implications of criminal networks research on policy and intervention efforts. The chapter concludes with a proposal for future directions to advance inquiry into criminal networks.

Sign in / Sign up

Export Citation Format

Share Document