scholarly journals I Explain, You Collaborate, He Cheats: An Empirical Study with Social Network Analysis of Study Groups in a Computer Programming Subject

2021 ◽  
Vol 11 (19) ◽  
pp. 9328
Author(s):  
Beatriz Barros ◽  
Ricardo Conejo ◽  
Amparo Ruiz-Sepulveda ◽  
Francisco Triguero-Ruiz
Keyword(s):  
Social Network ◽  
Similarity Measures ◽  
Study Groups ◽  
Plagiarism Detection ◽  
Network Analyses ◽  
The Social ◽  
Similar Content ◽  
Successful Students ◽  
The Relationship ◽  
Social Network Analyses

Students interact with each other in order to solve computer science programming assignments. Group work is encouraged because it has been proven to be beneficial to the learning process. However, sometimes, collaboration might be confused with dishonest behaviours. This article aimed to quantitatively discern between both cases. We collected code similarity measures from students over four academic years and analysed them using statistical and social network analyses. Three studies were carried out: an analysis of the knowledge flow to identify dishonest behaviour, an analysis of the structure of the social organisation of study groups and an assessment of the relationship between successful students and social behaviour. Continuous dishonest behaviour in students is not as alarming as many studies suggest, probably due to the strict control, automatic plagiarism detection and high penalties for unethical behaviour. The boundary between both is given by the amount of similar content and regularity along the course. Three types of study groups were identified. We also found that the best performing groups were not made up of the best individual students but of students with different levels of knowledge and stronger relationships. The best students were usually the central nodes of those groups.

scholarly journals Why and When "Flawed" Social Network Analyses Still Yield Valid Tests of no Contagion

2012 ◽  
Vol 3 (1) ◽  
Author(s):  
Tyler J. VanderWeele ◽  
Elizabeth L. Ogburn ◽  
Eric J. Tchetgen Tchetgen
Keyword(s):  
Social Network ◽  
Social Influence ◽  
Confidence Intervals ◽  
Social Contagion ◽  
Statistical Dependence ◽  
Network Analyses ◽  
The Social ◽  
Social Network Analyses

Lyons (2011) offered several critiques of the social network analyses of Christakis and Fowler, including issues of confounding, model inconsistency, and statistical dependence in networks. Here we show that in some settings, social network analyses of the type employed by Christakis and Fowler will still yield valid tests of the null of no social contagion, even though estimates and confidence intervals may not be valid. In particular, we show that if the alter's state is lagged by an additional period, then under the null of no contagion, the problems of model inconsistency and statistical dependence effectively disappear which allow for testing for contagion. Our results clarify the setting in which even "flawed" social network analyses are still useful for assessing social contagion and social influence.

scholarly journals A ‘Different Class’? Homophily and Heterophily in the Social Class Networks of Britpop

2017 ◽  
Vol 11 (3) ◽  
pp. 318-336 ◽  
Author(s):  
Peter Millward ◽  
Paul Widdop ◽  
Michael Halpin
Keyword(s):  
Social Network ◽  
Social Class ◽  
Social Location ◽  
Working Relationships ◽  
Network Analyses ◽  
Music Scenes ◽  
The Social ◽  
And Performance ◽  
Indie Music ◽  
Social Network Analyses

Social network analysis is increasingly recognised as a useful way to explore music scenes. In this article we examine the individuals who were the cultural workforce that comprised the ‘Britpop’ music scene of the 1990s. The focus of our analysis is homophily and heterophily to determine whether the clusters of friendships and working relationships of those who were ‘best connected’ in the scene were patterned by original social class position. We find that Britpop’s ‘whole network’ is heterophilic but that its ‘sub-networks’ are more likely to be social class homophilic. The sub-networks that remain heterophilic are likely to be united by other common experiences that brought individuals in the network to the same social spaces. We suggest that our findings on Britpop might be generalised to the composition of other music scenes, cultural workforces and aggregations of young people. Our study differs from research on, first, British ‘indie music’ and social class which focuses upon the construction, representation and performance of social location rather than the relationships it might shape and second, the pioneering social network analyses of music scenes which currently lack explicit emphasis on social class.

Using Social Network Analysis in the Classroom: An Experiential Activity and Tool to Enhance a Sense of Community

2018 ◽  
Vol 4 (3) ◽  
pp. 204-218
Author(s):  
Mary B. Dunn
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Sense Of Community ◽  
Network Analyses ◽  
Social Network Data ◽  
The Social ◽  
Social Network Analyses

This article presents an experiential exercise where students learn the basics of social network analysis, relate social networks to social capital, and analyze their own networks in the classroom. Instructors of all types of courses at both the undergraduate and graduate levels can use this activity to teach students about social networks and build a greater sense of community in the classroom. This article provides instructions for collecting students’ social network data, teaching students about social networks as the basis for social capital, guiding students through basic social network analyses, and facilitating a discussion about ways to increase social capital for individuals and collectives. While engaging in this activity, students have opportunities to interact with other students and build high-quality relationships. In doing so, this exercise can facilitate a greater sense of community in the classroom, enrich the social capital for the collective, and promote students’ learning.

scholarly journals Ego-Centric Social Network Analysis in Marketing of Fish From Cage Culture System In Simalungun District, Indonesia

2019 ◽  
Vol 8 (4) ◽  
pp. 105-113
Author(s):  
Feriel Amelia Sembiring ◽  
Fikarwin Zuska ◽  
Bengkel Ginting ◽  
Rizabuana Ismail ◽  
Henry Sitorus
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Analysis ◽  
Culture System ◽  
Qualitative Approach ◽  
Mutual Trust ◽  
Cage Culture ◽  
The Social ◽  
The Village ◽  
The Relationship

Aquaculture of Cage Culture is one of the main activities carried out by the community in the village of Haranggaol to fulfill their economic needs. This cultivation business establishes a relationship between traders and cages in terms of marketing their crops. There are 3 egocentric actors in the Haranggaol area. They are collectors (entrepreneurs/farmers who own capital), namely the Rohakinian group, the Siharo group, and the Paimaham group. Through these three egocentric actors, a social network is formed with several alters. Based on the qualitative approach with use Ucinet software, the mapping of their social networks can be seen as follows: alter actors connected to the Rohakinian group are 12 farmers in the group and 2 farmers outside the group with a density of 0.033. There are 27 alter actors connected to the Siharo group, 21 from the group and 6 from outside the group with a density of 0.014. There are 27 alter actors connected to the Paimaham group, namely 36 farmers from their groups and 10 farmers outside the group with a density of 0.005. The social networks that occur between these actors are intertwined due to the existence of kinship relationships, family or close friends who know each other among them. The relationship between family, family or close friends built with mutual trust make this network integrated.

scholarly journals Social learning and networks in Nestor parrots

2021 ◽  
Author(s):  
◽  
Daniel Donoghue
Keyword(s):  
Social Network ◽  
Social Learning ◽  
Tool Use ◽  
Social Information ◽  
Habitat Modification ◽  
Future Research ◽  
Video Playback ◽  
Food Aversion ◽  
Network Analyses ◽  
The Social

<p>Social learning and network analyses are theorised to be of great utility in the context of behavioural conservation. For example, harnessing a species’ capacity for social learning may allow researchers to seed useful information into populations, while network analyses could provide a useful tool to monitor community stability, and predict pathways of pathogen transfer. Thus, an understanding of how individuals learn and the nature of the social networks within a population could enable the development of new behavioural based conservation interventions for species facing rapid environmental change, such as human-induced habitat modification. Parrots, the most threatened avian order worldwide, are notably underrepresented in the social learning and social network literature. This thesis addresses this knowledge gap by exploring social learning and networks using two endangered species of parrot; kākā (Nestor meridionalis) and kea (Nestor notabilis). The first study explores social learning of tool use in captive kea, using a trained kea demonstrator. The results from this experiment indicate that both social learning and play behaviour facilitated the uptake of tool use, and suggests that kea are highly sensitive to social information even when presented with complex tasks. The second study assesses whether wild kākā can socially learn novel string-pulling and food aversion behaviours from video playbacks of conspecific demonstrators. Although there was no evidence to indicate that kākā learn socially, these individuals also show no notable reaction to video playback of a familiar predator. Therefore, these results are likely due to difficulties in interpreting information on the screens, and not necessarily a reflection of their ability to perceive social information. In the final study, social network analysis (SNA) was performed to map social connectivity within wellington’s urban kākā population. SNA indicates that kākā form non-random social bonds, selectively associating with some individuals more than others, and also show high levels of dissimilarity in community composition at different feeding sites. Taken together, these results provide rare empirical evidence of social learning in a parrot species and suggest that even complicated seeded behaviours can quickly spread to other individuals. These findings may also be indicative of the difficulties in conducting video playback experiments in wild conditions, which is an area in need of future research. Overall, these findings contribute to the very limited body of research on social learning and networks in parrots, and provide information of potential value in the management of these species.</p>

scholarly journals Social learning and networks in Nestor parrots

2021 ◽  
Author(s):  
Daniel Donoghue
Keyword(s):  
Social Network ◽  
Social Learning ◽  
Tool Use ◽  
Social Information ◽  
Habitat Modification ◽  
Future Research ◽  
Video Playback ◽  
Food Aversion ◽  
Network Analyses ◽  
The Social

<p>Social learning and network analyses are theorised to be of great utility in the context of behavioural conservation. For example, harnessing a species’ capacity for social learning may allow researchers to seed useful information into populations, while network analyses could provide a useful tool to monitor community stability, and predict pathways of pathogen transfer. Thus, an understanding of how individuals learn and the nature of the social networks within a population could enable the development of new behavioural based conservation interventions for species facing rapid environmental change, such as human-induced habitat modification. Parrots, the most threatened avian order worldwide, are notably underrepresented in the social learning and social network literature. This thesis addresses this knowledge gap by exploring social learning and networks using two endangered species of parrot; kākā (Nestor meridionalis) and kea (Nestor notabilis). The first study explores social learning of tool use in captive kea, using a trained kea demonstrator. The results from this experiment indicate that both social learning and play behaviour facilitated the uptake of tool use, and suggests that kea are highly sensitive to social information even when presented with complex tasks. The second study assesses whether wild kākā can socially learn novel string-pulling and food aversion behaviours from video playbacks of conspecific demonstrators. Although there was no evidence to indicate that kākā learn socially, these individuals also show no notable reaction to video playback of a familiar predator. Therefore, these results are likely due to difficulties in interpreting information on the screens, and not necessarily a reflection of their ability to perceive social information. In the final study, social network analysis (SNA) was performed to map social connectivity within wellington’s urban kākā population. SNA indicates that kākā form non-random social bonds, selectively associating with some individuals more than others, and also show high levels of dissimilarity in community composition at different feeding sites. Taken together, these results provide rare empirical evidence of social learning in a parrot species and suggest that even complicated seeded behaviours can quickly spread to other individuals. These findings may also be indicative of the difficulties in conducting video playback experiments in wild conditions, which is an area in need of future research. Overall, these findings contribute to the very limited body of research on social learning and networks in parrots, and provide information of potential value in the management of these species.</p>

Social Networks and Social Complexity in Female-bonded Primates

2010 ◽  
Author(s):  
Julia Lehmann ◽  
Katherine Andrews ◽  
Robin Dunbar
Keyword(s):  
Social Network ◽  
Social Relationships ◽  
Social Complexity ◽  
Social Bonds ◽  
Primate Brain ◽  
The Social ◽  
Group Members ◽  
Primate Group ◽  
Network Metrics ◽  
The Relationship

Most primates are intensely social and spend a large amount of time servicing social relationships. The social brain hypothesis suggests that the evolution of the primate brain has been driven by the necessity of dealing with increased social complexity. This chapter uses social network analysis to analyse the relationship between primate group size, neocortex ratio and several social network metrics. Findings suggest that social complexity may derive from managing indirect social relationships, i.e. relationships in which a female is not directly involved, which may pose high cognitive demands on primates. The discussion notes that a large neocortex allows individuals to form intense social bonds with some group members while at the same time enabling them to manage and monitor less intense indirect relationships without frequent direct involvement with each individual of the social group.

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