scholarly journals Arresting Strategy Based on Dynamic Criminal Networks Changing over Time

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Junqing Yuan ◽  
Jinde Cao ◽  
Bila Xia
Keyword(s):  
Time Series ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Dynamic Network ◽  
Criminal Networks ◽  
Priority List ◽  
Variation Trend ◽  
Networks Structure ◽  
Over Time

We investigate a sequence of dynamic criminal networks on a time series based on the dynamic network analysis (DNA). According to the change of networks’ structure, networks’ variation trend is analyzed to forecast its future structure. Finally, an optimal arresting time and priority list are designed based on our analysis. Better results can be expected than that based on social network analysis (SNA).

The role of perceived bullying norms in friendship dynamics: An examination of friendship selection and influence on bullying and victimization

2019 ◽  
pp. 016502541986853
Author(s):  
Huiyoung Shin
Keyword(s):  
Elementary Schools ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Sixth Grade ◽  
Peer Nominations ◽  
Moderating Role ◽  
Over Time ◽  
Friendship Selection

The current study examined whether youth’s perceived bullying norms play a role in friendship dynamics related to bullying and victimization among the fifth and sixth grade ( N = 736, 52% girls at Wave 1, N = 677, 52% girls at Wave 2) in elementary schools. Youth completed peer nominations (friendship, bullying, and victimization) and a self-reported measure of perceived bullying norms in the classroom. With longitudinal social network analysis (RSiena), this study investigated selection and influence of friends in bullying and victimization as well as the moderating role of perceived bullying norms in these processes. Results indicated that high bullying youth received many friendship nominations and tended to be more influenced by high bullying friends. In addition, highly victimized youth tended to form friendships with highly victimized peers, and youth whose friends are highly victimized became highly victimized themselves over time. As hypothesized, youth’s perceived bullying norms moderated these processes. As youth perceived higher bullying norms, the greater was the tendency for high bullying youth to select high bullying peers as friends and to be influenced by high bullying friends. Likewise, friend influence on victimization was magnified when youth perceived high bullying norms. The current study underscores the importance of youth’s perceived bullying norms in friendship dynamics of bullying and victimization.

The ever-changing face of Chinese Interpreting Studies

Target ◽  
2017 ◽  
Vol 29 (1) ◽  
pp. 7-38 ◽  
Author(s):  
Ziyun Xu
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Research Productivity ◽  
Academic Research ◽  
Research Impact ◽  
Institutional Level ◽  
The Past ◽  
Academic Influence ◽  
Over Time

As the discipline of Translation and Interpreting Studies (TIS) has continued to expand rapidly over the past twenty years, scientometric research has been applied increasingly often to analyse its trends and patterns. Drawing inspiration from Social Network Analysis (SNA), this study aims to quantify academic research impact and identify patterns of influence at an institutional level in Chinese Interpreting Studies (CIS), by seeking answers to the following questions: Which are the most influential publications? Which institutions carry the most weight? How have their respective levels of influence evolved over time? By analysing a near-exhaustive corpus of 59,303 citations from CIS literature, the study reveals that the majority of influential publications are monographs and theoretical in nature, though many Chinese textbooks on interpreting are also highly influential. It also finds that an institution’s ranking in research productivity does not necessarily translate into high academic influence.

The Rise of Fashion Informatics: A Case of Data-Mining-Based Social Network Analysis in Fashion

2018 ◽  
Vol 37 (2) ◽  
pp. 87-102 ◽  
Author(s):  
Li Zhao ◽  
Chao Min
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Large Scale ◽  
Dynamic Network ◽  
Fashion Industry ◽  
Cognitive Computing ◽  
Data Set

With the advent of modern cognitive computing technologies, fashion informatics researchers contribute to the academic and professional discussion about how a large-scale data set is able to reshape the fashion industry. Data-mining-based social network analysis is a promising area of fashion informatics to investigate relations and information flow among fashion units. By adopting this pragmatic approach, we provide dynamic network visualizations of the case of Paris Fashion Week. Three time periods were researched to monitor the formulation and mobilization of social media users’ discussions of the event. Initial textual data on social media were crawled, converted, calculated, and visualized by Python and Gephi. The most influential nodes (hashtags) that function as junctions and the distinct hashtag communities were identified and represented visually as graphs. The relations between the contextual clusters and the role of junctions in linking these clusters were investigated and interpreted.

Coauthorship Networks in Public Service Motivation Scholarship: Implications for the Evolution of a Field

2017 ◽  
Vol 37 (3) ◽  
pp. 295-322 ◽  
Author(s):  
Deneen M. Hatmaker ◽  
Amy E. Smith ◽  
Sanjay K. Pandey ◽  
Sushmita Subedi
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Public Service ◽  
Public Service Motivation ◽  
Coauthorship Network ◽  
Coauthorship Networks ◽  
The Social ◽  
Over Time

How does a body of scholarship emerge, develop, and evolve? Research is the product of a community of scholars and their collaboration over time builds and disseminates knowledge. One way to examine a scholarly community and scholarship evolution is to consider patterns of collaboration through coauthorship networks. This article conducts a social network analysis of coauthorship between public service motivation (PSM) scholars from 1990 to 2016. This analysis depicts the social structure of the field as it evolved and offers implications both for its theoretical progress and for individual scholars. In general, we find that the PSM coauthorship network has grown increasingly since 1990 but it is not a cohesive network of scholars. It consists of many disconnected subgroups that actually represent opportunities for individual scholars to build social capital and influence. We conclude with implications of our findings and we offer suggestions for further analysis.

scholarly journals Social network analysis: the use of graph distances to compare artificial and criminal networks

2021 ◽  
Author(s):  
Annamaria Ficara ◽  
Francesco Curreri ◽  
Lucia Cavallaro ◽  
Pasquale De Meo ◽  
Giacomo Fiumara ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Criminal Networks ◽  
Graph Distances

scholarly journals Shifting Coalitions within the Youth Climate Movement in the US

2021 ◽  
Vol 9 (2) ◽  
pp. 112-123 ◽  
Author(s):  
Dana R. Fisher ◽  
Sohana Nasrin
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Coalition Building ◽  
Climate Politics ◽  
Affiliation Networks ◽  
The Us ◽  
Alliance Building ◽  
Over Time ◽  
Unique Dataset

How has the youth climate movement in the US grown since the Climate Strikes began and in what ways did it change as it grew? This article takes advantage of a unique dataset that includes surveys from activists who organized the nationally coordinated climate strikes in the US that began with Fridays for Future in spring 2019. Building on the research on alliance building and strategic coalitions, this article analyzes how the patterns of participation changed over the period of the study. We employ social network analysis to map the affiliation networks among the organizers of these events to assess the coalitions of groups involved and the shifting organizational landscape. Our analysis does not provide evidence that groups spanned the boundaries across movements, nor does it show that identity plays a role in coalition building in this movement. Instead, by mapping out the coalition of organizations within this movement and how connections among them change over time, we see clear evidence that this youth-led movement was reoriented by adult-led organizations. Our article concludes by considering how these findings suggest the future trajectory of the youth climate movement and its role in a ‘new climate politics’ in America.

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