Relationship patterns in the 19th century: The friendship network in a German boys’ school class from 1880 to 1881 revisited

Heidler, Richard; Gamper, Markus; Herz, Andreas; Eßer, Florian

doi:10.1016/j.socnet.2013.11.001

Cited by 36 publications

(23 citation statements)

References 38 publications

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“…The Class network results confirmed the previous research [20]. The researchers described the "repeaters" as pupils who often led games and were strong, lively, and energetic, especially outside of the classroom.…”

Section: Discussionsupporting

confidence: 86%

Generic anomalous vertices detection utilizing a link prediction algorithm

Kagan

Elovici

Fire

2018

Soc. Netw. Anal. Min.

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In the past decade, network structures have penetrated nearly every aspect of our lives. The detection of anomalous vertices in these networks has become increasingly important, such as in exposing computer network intruders or identifying fake online reviews. In this study, we present a novel unsupervised two-layered meta-classifier that can detect irregular vertices in complex networks solely by using features extracted from the network topology. Following the reasoning that a vertex with many improbable links has a higher likelihood of being anomalous, we employed our method on 10 networks of various scales, from a network of several dozen students to online social networks with millions of users. In every scenario, we were able to identify anomalous vertices with lower false positive rates and higher AUCs compared to other prevalent methods. Moreover, we demonstrated that the presented algorithm is efficient both in revealing fake users and in disclosing the most influential people in social networks.

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Section: Discussionsupporting

confidence: 86%

Generic anomalous vertices detection utilizing a link prediction algorithm

Kagan

Elovici

Fire

2018

Soc. Netw. Anal. Min.

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“…This problem of interpreting non-reported relationships is highlighted when respondents give discrepant reports about whether or not they are friends with each other (Adams & Moody, 2007;Vaquera & Kao, 2008), resulting in the very common but awkward belief among network analysts that "friendship" is a directed relationship, where person C can be best friends with person D while D has exactly zero relationship with C. Scholars typically assume the one-directional friendship has been measured without error, that the "present" C→D tie works just like any other directed tie and the "absent" D→C tie works just like any other non-tie (Cheadle & Schwadel, 2012;Frank, Muller, & Mueller, 2013;Heidler, Gamper, Herz, & Eßer, 2014;Mouw & Entwisle, 2006). 2 With the ubiquitous slip of interpreting relationships as interaction, a scholar would then assume that C spends time with D but D does not spend time with C, C can send information to D but D cannot send information to C, etc.…”

Section: Social Ties As Socially Constructed Role Relationsmentioning

confidence: 99%

“…Unlike the survey data, however, the networks constructed from observed behavior can use a specific and rigorously applied definition of social ties, not vulnerable to differences of construal among the various survey respondents. Real-time applications can use multiple observers and sophisticated coding schemes to record social interaction for later aggregation into networks, and networks can even be constructed and analyzed from ethnographic or archived historical accounts (Heidler et al, 2014).…”

Section: Social Ties As Behavioral Interactionsmentioning

confidence: 99%

Beyond Networks in Structural Theories of Exchange: Promises from Computational Social Science

Kitts¹

2014

Advances in Group Processes

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Purpose À The research community currently employs four very different versions of the social network concept: A social network is seen as a set of socially constructed role relations (e.g., friends, business partners), a set of interpersonal sentiments (e.g., liking, trust), a pattern of behavioral social interaction (e.g., conversations, citations), or an opportunity structure for exchange. Researchers conventionally assume these conceptualizations are interchangeable as social ties, and some employ composite measures that aim to capture more than one dimension. Even so, important discrepancies often appear for non-ties (as dyads where a specific role relation or sentiment is not reported, a specific form of interaction is not observed, or exchange is not possible).

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“…The interest extends beyond school settings (e.g., Borgatti et al 2009;Christakis and Fowler 2009), but as Heidler et al (2014) pointed out, the first attempt to study networks empirically was actually conducted in a school. The basic assumption of network studies is that knowledge about social affiliations makes it possible to forecast how well students will fare in school over time.…”

Section: Network Of Interpersonal Relationships At Schoolmentioning

confidence: 99%

Social networks within classroom ecologies: peer effects on students’ engagement in the context of relationships with teachers and parents

Kindermann

Vollet

2014

Z Erziehungswiss

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If researchers wish to understand how classroom ecologies influence children's learning at school, they will need to combine investigations of the effects of peer group networks with analyses of teachers' and parents' influences. One promising target outcome for such studies would be children's classroom engagement, because it is not only visible to peers and teachers at school, but is also apparent in children's academic activities at home. To study peer influences on engagement, socio-cognitive mapping strategies appear to be well suited, because they capture groups of peers who frequently interact with one another. Building on findings from several such studies of peer group effects, we expand the framework by incorporating influences from teachers and parents. We include preliminary analyses suggesting that peer influences are especially strong for children who do not experience much involvement from teachers and parents. Finally, we suggest that it would be beneficial if teachers were trained to keep track of peer group processes in their classrooms.

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Relationship patterns in the 19th century: The friendship network in a German boys’ school class from 1880 to 1881 revisited

Cited by 36 publications

References 38 publications

Generic anomalous vertices detection utilizing a link prediction algorithm

Generic anomalous vertices detection utilizing a link prediction algorithm

Beyond Networks in Structural Theories of Exchange: Promises from Computational Social Science

Social networks within classroom ecologies: peer effects on students’ engagement in the context of relationships with teachers and parents

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