Social complex contagion in music listenership: A natural experiment with 1.3 million participants
Publication date: Available online 31 October 2019Source: Social NetworksAuthor(s): John Ternovski, Taha YasseriAbstractCan live music events generate complex contagion in music streaming? This paper finds evidence in the affirmative—but only for the most popular artists. We generate a novel dataset from a music tracking website to analyse the listenership history of 1.3 million users over a two-month time horizon. We show that attending a music artist’s live concert increases that artist’s listenership among the attendees of the concert by approximately 1 song per day per attendee (p-value < 0.001). Moreover...
Source: Social Networks - November 1, 2019 Category: Psychiatry & Psychology Source Type: research
Assessing the missing data problem in criminal network analysis using forensic DNA data
In this study, we integrate police data on known offenders with DNA data on unknown offenders. Statistics from the integrated dataset (‘known network’) are compared with statistics from the police data (‘reduced network’). Networks with both known and unknown offenders are bigger but also have a different structure to networks with only known offenders. (Source: Social Networks)
Source: Social Networks - October 26, 2019 Category: Psychiatry & Psychology Source Type: research
Charting the hidden City: Collecting prison social network data
Publication date: Available online 15 October 2019Source: Social NetworksAuthor(s): Corey Whichard, David R. Schaefer, Derek A. KreagerAbstractPenologists have long emphasized the importance of studying social relationships among prisoners to understand how people adapt to confinement. While several penological traditions clearly implicate social networks as an explanatory mechanism, network methods have rarely been applied in prison research. We suspect that prison scholars have been slow to incorporate social networks into their research because of the challenges—both real and perceived—of collecting social network d...
Source: Social Networks - October 16, 2019 Category: Psychiatry & Psychology Source Type: research
The contagion of democracy through international networks
Publication date: Available online 15 October 2019Source: Social NetworksAuthor(s): Skyler J. Cranmer, Bruce A. Desmarais, Benjamin W. CampbellAbstractWork on democratization typically considers the diffusion of democracy through interstate partnerships. However, such partnerships constitute complex networks that scholars have yet to fully explore as vectors for the spread of democracy. We develop a network theory of democratization which characterizes these networks as epistemic communities that influence elites’ attitudes towards favorable regime types. Our theory predicts, and our empirical strategy confirms, that dir...
Source: Social Networks - October 16, 2019 Category: Psychiatry & Psychology Source Type: research
Negative ties and signed graphs research: Stimulating research on dissociative forces in social networks
Publication date: Available online 15 October 2019Source: Social NetworksAuthor(s): Nicholas M. Harrigan, Giuseppe (Joe) Labianca, Filip Agneessens (Source: Social Networks)
Source: Social Networks - October 16, 2019 Category: Psychiatry & Psychology Source Type: research
Who is dropped and why? Methodological and substantive accounts for network loss
Publication date: Available online 24 September 2019Source: Social NetworksAuthor(s): Claude S. Fischer, Shira OfferAbstractHigh rates of egocentric network turnover are frequently observed but not well explained. About 1000 respondents to the UCNets survey named an average of 10 names in each of two waves a year apart. Consistent with prior studies, respondents in wave 2 failed to relist about half of the names they provided in wave 1. Asked why, respondents explained that they had forgotten the alter for about 40 percent of the missing names. Other common answers, such as no “occasion… to be in touch,” also suggest...
Source: Social Networks - September 24, 2019 Category: Psychiatry & Psychology Source Type: research
Accusation and confession discrepancies in bullying: Dual-perspective networks and individual-level attributes
Publication date: Available online 20 September 2019Source: Social NetworksAuthor(s): Travis G. Tatum, Thomas U. GrundAbstractPrevious research on bullying implicitly assumes that individuals agree on who bullies whom and whom is bullied by who. We analyse dual-perspective networks from 96 school-classes in Germany, where adolescents were asked both whom they bully (confession network) and who bullies them (accusation network). Drawing from goal framing theory we explicitly examine discrepancies in the subjective perception of bullying, demonstrating that the majority of accusations have no corresponding confessions, and v...
Source: Social Networks - September 22, 2019 Category: Psychiatry & Psychology Source Type: research
Privacy and confidentiality considerations for collecting HIV risk network data among men who have sex with men and implications for constructing valid risk networks
Publication date: Available online 19 September 2019Source: Social NetworksAuthor(s): Abby E. Rudolph, April M. YoungAbstractStudies aiming to construct risk networks have historically collected network members' names, demographic characteristics and relational data (i.e., type, strength, duration, frequency of interaction, and HIV-related risk behaviors between the pair). Due to difficulties in constructing risk networks stemming from partner anonymity and the use of nicknames, some studies also collect network members’ screen names, phone numbers, physical attributes, and scars/tattoos to assist with entity resolution....
Source: Social Networks - September 20, 2019 Category: Psychiatry & Psychology Source Type: research
Evaluating heterogeneous brokerage: New conceptual and methodological approaches and their application to multi-level environmental governance networks
We present two new approaches for assessing the relative contributions of different types of actors to heterogeneous brokerage in networks. These approaches distinguish between the tendency of certain types of actors to (1) mediate between dissimilar actors (heterogeneous brokerage “activity”), and (2) be the sole mediators between dissimilar actors (“exclusivity”). We present methods for implementing these approaches, using baseline models of tie formation and node removal, respectively. To illustrate the value of both approaches, independently and in combination, we apply them to evaluate horizontal and vertical ...
Source: Social Networks - September 18, 2019 Category: Psychiatry & Psychology Source Type: research
If you do not know who knows what: Advice seeking under changing conditions of uncertainty after an acquisition
In this study we develop a model to explain the dynamics of advice seeking after an acquisition. We build on a theory of advice seeking that draws from prospect theory and expectancy theory. We theorize that immediately after an acquisition there is uncertainty about who knows what, but over time individuals become more aware of the expertise within the organization and they change their advice networks based upon this increased awareness. Our model examines four micro-processes of advice seeking: reciprocity, preferential attachment, transitivity, and legacy-firm tie preferences. To test our hypotheses we use post-acquisi...
Source: Social Networks - September 13, 2019 Category: Psychiatry & Psychology Source Type: research
The coevolution of trade agreements and investment treaties: Some evidence from network analysis
This study explores how RTAs and BITs coevolve by applying a stochastic actor-oriented model of multiplex network evolution. In particular, we examine the roles of (i) cross-network dyadic interinfluences and (ii) within- and cross-network preferential attachments to discuss the dynamic relationships between RTAs and BITs. The results are as follows. First, our estimation supports cross-network dyadic interinfluences. Countries that sign a BIT are willing to establish an RTA, while those that sign an RTA are reluctant to establish a BIT. Second, concerning preferential attachments, countries prefer to sign BITs with partne...
Source: Social Networks - September 10, 2019 Category: Psychiatry & Psychology Source Type: research
Exploring the stability of communication network metrics in a dynamic nursing context
This study aimed to identify a metric (or set of metrics) sufficiently stable to apply to PCU staff information sharing and advice seeking communication networks over time. Using Coefficient of Variation, we assessed both Across Time Stability (ATS) and Global Stability over four data collection times (Baseline and 1, 4, and 7 months later). When metrics were stable using both methods, we considered them “super stable.” Nine metrics met that criterion (Node Set Size, Average Distance, Clustering Coefficient, Density, Weighted Density, Diffusion, Total Degree Centrality, Betweenness Centrality, and Eigenvector Centralit...
Source: Social Networks - September 5, 2019 Category: Psychiatry & Psychology Source Type: research
Editorial Board
Publication date: October 2019Source: Social Networks, Volume 59Author(s): (Source: Social Networks)
Source: Social Networks - August 30, 2019 Category: Psychiatry & Psychology Source Type: research
Permutation and randomization tests for network analysis
Publication date: October 2019Source: Social Networks, Volume 59Author(s): Mark M. Fredrickson, Yuguo ChenAbstractPermutation tests have a long history in testing hypotheses of independence between nodal attributes and network structure, though they are often thought less informative than parametric modeling techniques. In this paper, we show that when the nodal attribute is random assignment to a treatment condition, permutation tests provide a valid test of the causal effect of treatment. We discuss existing test statistics used in network permutation tests and propose several new statistics. In simulations we find that ...
Source: Social Networks - August 23, 2019 Category: Psychiatry & Psychology Source Type: research
Analyzing multiplex networks using factorial methods
Publication date: October 2019Source: Social Networks, Volume 59Author(s): Giuseppe Giordano, Giancarlo Ragozini, Maria Prosperina VitaleAbstractMultiplex networks arise when more than one source of relationships exists for a common set of nodes. Many approaches to deal with this kind of complex network data structure are reported in the literature. In this paper, we propose the use of factorial methods to visually explore the complex structure of multiplex networks. Specifically, the adjacency matrices derived from multiplex networks are analyzed using the DISTATIS technique, an extension of multidimensional scaling to th...
Source: Social Networks - August 18, 2019 Category: Psychiatry & Psychology Source Type: research
