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Research Article

Detecting Change in Longitudinal Social Networks

Changes in observed social networks may signal an underlying change within an organization, and may even predict significant events or behaviors. The breakdown of a team’s effectiveness, the emergence of informal leaders, or the preparation of an attack by a clandestine network may all be associated with changes in the patterns of interactions between group members. The ability to systematically, statistically, effectively and efficiently detect these changes has the potential to enable

Ian McCulloh, Kathleen M. Carley

Journal of Social Structure, Volume 12 , ISSUE 1, 1–37

research-article | 01-October-2020

Geodesic Cycle Length Distributions in Delusional and Other Social Networks

Introduction In order to investigate the structure of ideas, or schemata, of social networks, Martin (2017) investigated a very unusual set of three social networks. These are delusional social networks of alternative personalities described by a patient undergoing therapy for multiple personality disorder (David et al. 1996), now known as dissociative identity disorder (Kihlstrom 2005). In order to do this, Martin (2017) uses random graphs, specifically the dk-series model (Mahadevan et al

Alex Stivala

Journal of Social Structure, Volume 21 , ISSUE 1, 35–76

research-article | 01-October-2020

Reply to “Comment on Geodesic Cycle Length Distributions in Delusional and Other Social Networks”

explain my original reasoning, some of which lead to the errors as described in the Comment. I will also address some of the other issues Martin raises as to nodal covariates, and what we can learn from ERGM, specifically from failures of convergence or goodness-of-fit, and conclude with a response to his ideas about methodological monoculturalism and the pursuit of invariants. Orthodoxy and ritualism Martin argues that the social networks community is moving towards a monoculture of doing

Alex Stivala

Journal of Social Structure, Volume 21 , ISSUE 1, 94–106

research-article | 30-November-2018

The Role of Maternal Social Networks on the Outcomes of a Home-Based Childhood Obesity Prevention Pilot Intervention*

predictors of child weight and behaviors (Davison, Francis, & Birch, 2005; Wrotniak, Epstein, Paluch, & Roemmich, 2004), contributing to the intergenerational transmission of obesity risk. Family-centered obesity interventions, which target children and their parent(s), have proven more effective than interventions targeting children alone (Epstein, Paluch, Roemmich, & Beecher, 2007; Epstein, Valoski, Wing, & McCurley, 1994). However, families are themselves embedded in social networks and communities

Kayla de la Haye, Brooke M. Bell, Sarah-Jeanne Salvy

Journal of Social Structure, Volume 20 , ISSUE 3, 7–28

book-review | 30-November-2020

Book Review: The Oxford Handbook of Social Networks

of Social Networks,” Fuhse) discusses the topic of theories in social networks. Clearly this is an important topic meriting extensive consideration. But the author attacks a manuscript in the literature that made a distinction between “network theory” and the “theory of networks.” The distinction is very reasonable. But the author claims there is no theory here but only network mechanisms. Network mechanisms about networks are inherently theoretical. Chapter 4 (“Networks and Neo-Structural

Patrick Doreian

Journal of Social Structure, Volume 22 , ISSUE 1, 4–7

research-article | 10-October-2018

Dynamics of Social Networks Following Adolescent Pregnancy

friendships they held prior to pregnancy. Past work has found that pregnant teens have less reciprocated friendships, and are less likely to be considered a friend by their peers than non-pregnant girls (Humberstone, 2018a). While this work elucidates friendship differences between pregnant and non-pregnant teens, its cross-sectional design looks only at social networks held after a pregnancy occurrence. Cross-sectional networks only capture information of the presence or absence of ties and position in

Elizabeth Humberstone

Journal of Social Structure, Volume 19 , ISSUE 1, 1–34

research-article | 30-November-2018

Social Networks and Health: Micro Processes and Macro Structures

in families. Such interest in multiple relationships likely stem from the growing understanding of how human social networks involve multiple dimensions of interaction and that these dimensions, in isolation, as well as in combination, can have important implications for health. Scientific Priorities for Networks and Health From this collection, we see three primary priorities for the field. The first is the need to dive a bit deeper and unravel how interpersonal mechanisms and social structure

Christopher Steven Marcum, Laura M. Koehly

Journal of Social Structure, Volume 20 , ISSUE 3, 1–6

research-article | 30-November-2018

Adolescent Friendship Formation and Mental Health: A Stochastic Actor-Based Model of Help-Seeking Behavior*

, & Schoenwald, 2001; McKay & Bannon, 2004). Roughly 60% of adolescents with mental health needs perceive that they are treated differently or rejected by peers in their social networks (Moses, 2010). Available literature lacks a full understanding of the social peer effects experienced by adolescent users of psychological counseling. Previous studies that link users of adolescent psychological counseling with peer rejection suffer from two important methodological concerns. First, prior studies do not

Marlon P. Mundt, Larissa I. Zakletskaia

Journal of Social Structure, Volume 20 , ISSUE 3, 50–69

Research Article | 01-September-2017

TEMPORAL QUERY PROCESSIG USING SQL SERVER

data are at the heart of a broad range of business and network intelligence applications ranging from consumer behaviour analysis, trend analysis, temporal pattern mining, and sentiment analysis on social media, cyber security, and network monitoring. Social networks (SN) such as Facebook, twitter, LinkedIn contains huge amount of temporal information. Social media forms a dynamic and evolving environment. Similar to real-world friendships, social media interactions evolve over time. People join or

Mastan Vali Shaik, P Sujatha

International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 5, 495–505

Research Article

Inter-Firm Social Networks Created by Mobile Laborers: A Case Study on Siteler in Ankara

Labor mobility, both as a mechanism of knowledge diffusion and as a kind of social glue that holds together small production communities operative within a given territory, deserves serious consideration. In this context, focusing on a specific industrial cluster in Ankara, this paper reveals the extent and characteristics of the social networks created by the mobile laborers in order to understand the interconnections between social context, knowledge spillovers, innovation and labor mobility

Burak Beyhan

Journal of Social Structure, Volume 12 , ISSUE 1, 1–33

research-article | 30-November-2018

The Role of Social Influence and Network Churn in Beliefs about Electronic Medical Record Technology

beliefs, such as individual differences (e.g., age, gender) and contextual factors (e.g., training, organizational resources) (Agarwal, 2000). Little attention has been paid to the role of social networks, despite theory suggestive of their influence in shaping beliefs about many other subjects. According to the social network literature, social networks – defined as sets of actors connected by a set of social ties (Borgatti & Foster, 2003) – influence belief formation through processes such as

Christina T. Yuan, Gerald C. Kane, Jason M. Fletcher, Ingrid M. Nembhard

Journal of Social Structure, Volume 20 , ISSUE 3, 29–49

research-article | 14-September-2020

Comparing Gender Homophily among the Multilayer Media Social Networks of Face-to-Face, Instant Messenger and Social Networking Services: A Case Study of a High School Classroom

Homophily is defined as ‘the principle that contact between similar people occurs at a higher rate than among dissimilar people’ (McPherson et al., 2001, p. 416). This principle is universally observed in a wide variety of social networks. Currently, social interactions occur in both offline and online spaces. This raises an important question: Are there differences in homophily between offline and online spaces within a single social group? Although many preceding studies have examined

Naoki Maejima

Connections: The Quarterly Journal, Volume 40 , ISSUE 1, 77–97

Article | 10-March-2018

The “Madre Sana” Data Set

Sabina B. Gesell, Eric A. Tesdahl

Connections, Volume 36 , ISSUE 1, 62–65

Research Article | 30-November-2014

The Use of Social Networking Sites by Adolescents with Psychiatric Illnesses: A Qualitative Study

Gerrit Ian van Schalkwyk, Katherine Klingensmith, Paige McLaughlin, Zheala Qayyum

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 3 , ISSUE 2, 108–114

Article | 11-March-2018

Eigenvector Centrality: Illustrations Supporting the Utility of Extracting More Than One Eigenvector to Obtain Additional Insights into Networks and Interdependent Structures

Dawn Iacobucci, Rebecca McBride, Deidre L. Popovich

Journal of Social Structure, Volume 18 , ISSUE 1, –

research-article | 30-November-2021

Isolation, cohesion and contingent network effects: the case of school attachment and engagement

G. Robin Gauthier, Jeffrey A. Smith, Sela Harcey, Kelly Markowski

Connections, Volume 42 , ISSUE 1, 1–15

research-article | 14-December-2020

The ‘GROW Social Network’ datasets

small groups of the same participants met weekly for 12 90-min sessions over three months (3 mon timepoint); (ii) the maintenance phase, which included monthly phone-call coaching over nine months (12 mon timepoint); and (iii) the sustainability phase, which included cues to action to use the surrounding built environment for health over 24 months (36 mon timepoint). Integrated within the GROW Healthier intervention was the intentional building of new social networks among intervention group

Sabina B. Gesell, Evan C. Sommer, Shari l. Barkin

Connections: The Quarterly Journal, Volume 40 , ISSUE 1, 123–128

research-article | 01-October-2020

Comment on Geodesic Cycle Length Distributions in Delusional and Other Social Networks

social networks community is increasingly moving towards an ill-considered ritualization of ERGMs, and in such a way to undermine the distinctiveness of network analysis/mathematical sociology, which had been the great hold-out against the “saming-of-everything” associated with the ideational sink of mainstream sociology. If we do not change course, we will import into our own field the contradictions that have, in the past generation, been recognized, but not solved, in mainstream statistical

John Levi Martin

Journal of Social Structure, Volume 21 , ISSUE 1, 77–93

research-article | 01-August-2019

Transitivity Types Predict Communicative Abilities in Infants at Risk of Autism*

, whereas caregivers’ behaviors had to be more pronounced (e.g., vocalizations) to qualify. For objects, only those with state-changing properties could form outbound links, while static ones could not. For further descriptions of these parameters, see Appendix A. Triadic Census For this exploratory project, social networks of triads were measured representing interaction patterns between an infant, a caregiver and surrounding objects (Holland & Leinhardt, 1971; White et al., 2014). This type of

Rebekka Schleier, Jana M. Iverson, Andrew P. King, Meredith J. West

Journal of Social Structure, Volume 20 , ISSUE 3, 119–139

Article | 26-June-2018

The Structure of Node and Edge Generation in a Delusional Social Network*

A rare set of data on a changing social network of personalities, drawn by a sufferer of Multiple Personality Disorder are investigated using random graph theory. The key features guiding the patient’s production of these wholly delusional networks, features which define her “schema” of social network, are derived by fitting a family of nested distributions. From this, we can derive a tentative hypothesis of how the laity may understand the logic of social networks, a hypothesis that is

John Levi Martin

Journal of Social Structure, Volume 18 , ISSUE 1, 1–21

research-article | 30-November-2018

Mapping the Distribution and Spread of Social Ties Over Time: A Case Study Using Facebook Friends

Individuals belong to geographically based social networks that include an individual’s ties (family, friends, professional contacts, etc.) in nearby and distant places (Acedo et al., 2017). A set of mapped ties comprises a spatial distribution, i.e., a unique “fingerprint” of geolocated social contacts (e.g., two friends in Rome, six family members in New York, a co-worker in Milan, etc.). This distribution is a natural part of social life, as humans have been “traveling, wandering and

Clio Andris, Sara E. Cavallo, Elizabeth A. Dzwonczyk, Laura Clemente-Harding, Carolynne Hultquist, Marie Ozanne

Connections: The Quarterly Journal, Volume 39 , ISSUE 1, 1–17

Research Article | 11-February-2019

Do People Who Identify as Popular Become Popular in a New Network? A 9-Month Longitudinal Network Analysis

Abstract Although scholars have argued that people actively shape and reshape their social networks (e.g., Parks, 2016), this aspect of relational development has received little attention. This study sought to determine if people’s self-perceptions of interpersonal communication skills translated into behavior that led to relationship formation in a new network. A 9-month longitudinal social network analysis (N = 94) of the residents of a first-year university residence hall using Facebook tie

Christopher J. Carpenter, Xun Zhu, Rachel A. Smith

Journal of Social Structure, Volume 20 , ISSUE 1, 1–24

Research Article | 10-March-2018

Who Says Networks, Says Oligarchy? Oligarchies as “Rich Club” Networks

circle. We treat oligarchy as a global property of social networks and offer an approach for measuring the oligarchical tendencies of any social network. Our main contribution is to operationalize this idea using a “rich club” approach. We demonstrate the efficacy of this approach by analyzing and comparing several urban networks: Sao Paulo urban infrastructure networks and Los Angeles and Chicago transportation policy networks.

Christopher Ansell, Renata Bichir, Shi Zhou

Connections, Volume 36 , ISSUE 1, 20–32

Research Article

Networks and Religion: Ties that Bind, Loose, Build Up, and Tear Down

That social networks play a central role in religious life is well accepted by most social scientists. We are reasonably confident, for instance, that they are crucial for the recruitment and retention of members, the diffusion of religious ideas and practices, motivating individuals to volunteer and become politically active, the health and well-being of people of faith, and conflict, radicalization, and (sometimes) violence. However, in conference presentations, journal articles, and books

Sean F. Everton

Journal of Social Structure, Volume 16 , ISSUE 1, 1–34

Research Article

U.S. and Whom? Structures and Communities of International Economic Research

Most studies concerned with empirical social networks are conducted on the level of individuals. The interaction of scientists is an especially popular research area, with the growing importance of international collaboration as a common sense result. To analyze patterns of cooperation across nations, this paper investigates the structure and evolution of cross-country co-authorships for the field of economics from 1985 to 2011. For a long time economic research has been strongly US centered

Raphael H. Heiberger, Jan R. Riebling

Journal of Social Structure, Volume 16 , ISSUE 1, 1–12

Research Article | 10-January-2020

Imputation of missing network data: Some simple procedures

Analysis of social network data is often hampered by non-response and missing data. Recent studies show the negative effects of missing actors and ties on the structural properties of social networks. This means that the results of social network analyses can be severely biased if missing ties were ignored and only complete cases were analyzed. To overcome the problems created by missing data, several treatment methods are proposed in the literature: model-based methods within the framework of

Mark Huisman

Journal of Social Structure, Volume 10 , ISSUE 1, 1–29

research-article | 30-November-2019

A novel algorithm for estimation of Twitter users location using public available information

Yasser Almadany, Khalid Mohammed Saffer, Ahmed K. Jameil, Saad Albawi

International Journal on Smart Sensing and Intelligent Systems, Volume 13 , ISSUE 1, 1–10

research-article | 10-January-2020

A Relational Hyperlink Analysis of an Online Social Movement

complementary software programs, the VOSON System [3] (Ackland 2010), which is a tool for collecting and analyzing online networks, and LPNet (Wang, Robins, and Pattison 2006), used for the longitudinal statistical examination of social networks. While our joint use of these programs possibly does not formally constitute e-Research (VOSON and LPNet currently do not “talk to one another” via web services or grid technologies, which are hallmarks of e-Research), our research is a good example of how

Dean Lusher, Robert Ackland

Journal of Social Structure, Volume 12 , ISSUE 1, 1–49

Article | 26-June-2018

Using ERGMs to Disaggregate Displacement Cascades*

How do civilians select internal displacement destinations during conflict? Existing research emphasizes the value of cascades as a guide to making these difficult decisions. Cascades may involve civilians following people in their social networks (community cascades), people with similar characteristics (co-ethnic cascades), or the crowd in general (herd cascades). Analyses relying upon interview or regression-based methodological approaches face substantial challenges in identifying the

Justin Schon

Journal of Social Structure, Volume 19 , ISSUE 1, 1–40

research-article | 30-November-2018

The Multiplex Social Environments of Young Black Men Who Have Sex with Men: How Online and Offline Social Structures Impact HIV Prevention and Sex Behavior Engagement

demonstrate lower levels of many of the factors generally assumed to be related to HIV risk, such as number of sex partners, engagement in condomless sex, and frequency of HIV testing (Millett, Flores, Peterson, & Bakeman, 2007). More recently, the social networks of young racial/ethnic and sexual minorities have been positioned as critical factors in understanding their HIV vulnerability (Fujimoto, Flash, Kuhns, Kim, & Schneider, 2018; Fujimoto, Williams, & Ross, 2013; Millett et al., 2007). This socio

Lindsay E. Young, Kayo Fujimoto, Leigh Alon, Liang Zhang, John A. Schneider

Journal of Social Structure, Volume 20 , ISSUE 3, 70–95

Research Article | 18-January-2019

A network approach to understanding obesogenic environments for children in Pennsylvania

Abstract Network methods have been applied to obesity to map connections between obesity-related genes, model biological feedback mechanisms and potential interventions, and to understand the spread of obesity through social networks. However, network methods have not been applied to understanding the obesogenic environment. Here, we created a network of 32 features of communities hypothesized to be related to obesity. Data from an existing study of determinants of obesity among 1,288

Emily A. Knapp, Usama Bilal, Bridget T. Burke, Geoff B. Dougherty, Thomas A. Glass

Connections, Volume 38 , ISSUE 1, 1–11

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