Humans, Plants, and Networks

2016 ◽  
Vol 7 (1) ◽  
pp. 107-128 ◽  
Author(s):  
Laura Calvet-Mir ◽  
Matthieu Salpeteur
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Data Collection ◽  
Social Relationships ◽  
Social Relations ◽  
Local Ecological Knowledge ◽  
Ecological Knowledge ◽  
Longitudinal Data Collection

ABSTRACTIn recent years, Social Network Analysis (SNA) has increasingly been applied to the study of complex human-plant relations. This quantitative approach has enabled a better understanding of (1) how social networks help explain agrobiodiversity management, and (2) how social relations influence the transmission of local ecological knowledge (LEK) related to plants. In this paper, we critically review the most recent works pertaining to these two lines of research. First, our results show that this fast-developing literature proposes new insights on local agrobiodiversity management mechanisms, as well as on the ways seed exchange systems are articulated around other social relationships, such as kinship. Second, current works show that inter-individual connections affect LEK transmission, the position of individuals in networks being related to the LEK they hold. We conclude by stressing the importance of combining this method with comprehensive approaches and longitudinal data collection to develop deeper insights into human-plant relations.

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.

Web Mining and Social Network Analysis

2011 ◽  
pp. 202-211 ◽  
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.

Offline netwerken, online pesten

2013 ◽  
Vol 41 (1) ◽  
Author(s):  
Denis Wegge ◽  
Heidi Vandebosch ◽  
Steven Eggermont
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
School Context ◽  
Traditional Bullying ◽  
Online Bullying ◽  
Best Friends ◽  
Being Bullied

Offline networks, online bullying: a social network analysis of cyberbullying in a school context Offline networks, online bullying: a social network analysis of cyberbullying in a school context Young adolescents increasingly bully each other in ‘cyberspace’, which has raised a significant amount of academic attention. The present study contributes to this body of research by linking cyberbullying to young people’s offline social relationships. It considers the influence of social position on victimization, and the interactions between online victims and perpetrators. For this purpose an entire grade of 174 pupils, age 12 and 13, was surveyed. The pupil’s social networks were analyzed to predict who is being victimized and by whom adolescents are cyberbullied. Results indicate that victims of cyberbullying have fewer mutual friends at school, regardless of traditional bullying involvement. In contrast, their number of mutual ‘best friends’ does not significantly differ. Furthermore, cyberbullying proves to be a true extension of offline bullying; victims are being bullied by the same perpetrators offline and online, which is particularly problematic. In sum, offline relationships and interactions do influence online bullying.

A SOCIAL NETWORK ANALYSIS OF THE FOUNDERS OF INSTITUTIONALIZED PUBLIC ACCOUNTANCY

2000 ◽  
Vol 27 (2) ◽  
pp. 1-48 ◽  
Author(s):  
Thomas A. Lee
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relations ◽  
Insurance Industry ◽  
Archival Data ◽  
Research Results ◽  
The Social ◽  
Sources Of Influence

This paper examines the social relations of the founders of the first institutions of modern public accountancy in Scotland. The study uses archival data to construct social networks prior to 1854. Individual founders in the networks are identified as potentially significant sources of influence in the foundation events. The paper reports the social network analysis in several parts. First, relations between the founders of The Institute of Accountants in Edinburgh (IAE), renamed The Society of Accountants in Edinburgh (SAE), are networked. Second, a similar analysis is made of the foundation of The Institute of Accountants and Actuaries in Glasgow (IAAG). Third, social links between individual founders of the IAE/SAE and IAAG are identified. The research results are generally consistent with prior studies but reveal significant matters not identified by other researchers. The social network analysis of the IAE/SAE founders confirms the existence of a cohesive and elite community and the presence of an elite within an elite. There is evidence of strong links to lawyers and landowners, as well as significant links to the insurance industry.

scholarly journals Worlds, Fields and Networks: Becker, Bourdieu and the Structures of Social Relations

2011 ◽  
Vol 5 (1) ◽  
pp. 99-119 ◽  
Author(s):  
Wendy Bottero ◽  
Nick Crossley
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
Social Relations ◽  
Cultural Production ◽  
Social Space ◽  
Social Structures ◽  
Field Analysis ◽  
Music Scenes

This paper reflects upon Bourdieu’s concept of cultural fields, Becker’s concept of ‘art worlds’ and the concept of networks as developed in social network analysis. We challenge the distinction that Bourdieu makes between the objective ‘relations’ and ‘positions’ constitutive of ‘social space’ and visible social relationships. In contrast, we maintain that interaction is generative of social spaces and positions and should be integral to any account of them. Becker’s position is better from this perspective, but while Becker refers repeatedly to social networks, he fails to develop the concept or exploit its potential as a means of exploring social structures. Both Becker and Bourdieu have an underdeveloped conception of social connection which weakens their respective conceptions of the space of cultural production. Our proposed remedy is to use social network analysis to derive ‘positions’ and ‘relations’ between ‘positions’, as prioritized by Bourdieu, from data on concrete interactions and relations. This allows ‘world’ analysis to speak to the issues of field analysis without sacrificing its strengths. We illustrate our case by way of an analysis of two UK music scenes from the late 1970s.

Introduction

2020 ◽  
pp. xxii-13
Author(s):  
Ryan Light ◽  
James Moody
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Bibliometric Analysis ◽  
Social Life ◽  
New Directions ◽  
Central Paradigm

This chapter provides an introduction to this volume on social networks. It argues that social network analysis is greater than a method or data, but serves as a central paradigm for understanding social life. The chapter offers evidence of the influence of social network analysis with a bibliometric analysis of research on social networks. This analysis underscores how pervasive network analysis has become and highlights key theoretical and methodological concerns. It also introduces the sections of the volume broadly structured around theory, methods, broad conceptualizations like culture and temporality, and disciplinary contributions. The chapter concludes by discussing several promising new directions in the field of social network analysis.

The Oxford Handbook of Social Networks

2020 ◽  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Life ◽  
Information Science ◽  
Computational Social Science ◽  
The Social ◽  
Diverse Field ◽  
The Rich

Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and substantive contributions of this field. The thirty-three chapters move through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. The Handbook includes chapters on data collection and visualization, theoretical innovations, links between networks and computational social science, and how social network analysis has contributed substantively across numerous fields. As networks are everywhere in social life, the field is inherently interdisciplinary and this Handbook includes contributions from leading scholars in sociology, archaeology, economics, statistics, and information science among others.

scholarly journals Social Network Analysis Visualization

2015 ◽  
pp. 257-270
Author(s):  
Mohana Shanmugam ◽  
Yusmadi Yah Jusoh ◽  
Rozi Nor Haizan Nor ◽  
Marzanah A. Jabar
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Online Social Network ◽  
Future Research ◽  
Research Gaps ◽  
The Social ◽  
Network Studies ◽  
Academic Study

The social network surge has become a mainstream subject of academic study in a myriad of disciplines. This chapter posits the social network literature by highlighting the terminologies of social networks and details the types of tools and methodologies used in prior studies. The list is supplemented by identifying the research gaps for future research of interest to both academics and practitioners. Additionally, the case of Facebook is used to study the elements of a social network analysis. This chapter also highlights past validated models with regards to social networks which are deemed significant for online social network studies. Furthermore, this chapter seeks to enlighten our knowledge on social network analysis and tap into the social network capabilities.

Sign in / Sign up

Export Citation Format

Share Document