Integrating near repeat and social network approaches to analyze crime patterns

Author(s):  
Tao Hu ◽  
Xinyue Ye ◽  
Lian Duan ◽  
Xinyan Zhu
INTEGRITAS ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 121-142
Author(s):  
Wigke Capri ◽  
Devy Dhian Cahyati ◽  
Mahesti Hasanah ◽  
Dias Prasongko ◽  
Wegik Prasetyo

Corruption action develops way more advance compare to corruption studies in Indonesia. Corruption studies are mostly focusing on institutional corruption or using an institutional approach to understand corruption. This research offers to understand corruption better using actor-based and network approaches. Utilising social network analysis (SNA), researchers unpacking corrupt relational actors in natural resources, especially in oil and gas and forestry in Indonesia. We collected six important findings;  corruption creates dependencies amongst actors; to be corrupt, an actor must have a strong network and resources that can offer and deliver multi-interests. Corrupt action is a repeated action that creates interlocking relations amongst actors. Interlocking relation serves as a safety belt for each chauffeur. Institutionalisation of corrupt networks only requires a strong corrupt network. The institutionalised corrupt networks shape a shortcut both for the private and public sectors-a short cut that makes bribery and exchange permits possible.


2020 ◽  
Vol 44 (1) ◽  
pp. 244-268 ◽  
Author(s):  
Dominik E. Froehlich ◽  
Sara Van Waes ◽  
Hannah Schäfer

Social network analysis (SNA) is becoming a prevalent method in education research and practice. But criticism has been voiced against the heavy reliance on quantification within SNA. Recent work suggests combining quantitative and qualitative approaches in SNA—mixed methods social network analysis (MMSNA)—as a remedy. MMSNA is helpful for addressing research questions related to the formal or structural side of relationships and networks, but it also attends to more qualitative questions such as the meaning of interactions or the variability of social relationships. In this chapter, we describe how researchers have applied and presented MMSNA in publications from the perspective of general mixed methods research. Based on a systematic review, we summarize the different applications within the field of education and learning research, point to potential shortcomings of the methods and its presentation, and develop an agenda to support researchers in conducting future MMSNA research.


1993 ◽  
Vol 15 (4) ◽  
pp. 72-72 ◽  

Papers are invited on the subject of conflict resolution and dispute settlement for the Key Symposium of the 1994 Annual Meeting of the Southern Anthropological Society, scheduled for April 27-30 in Atlanta. Contributions are anticipated from legal and political anthropology, economic anthropology, social network approaches, interpretive approaches, crosscultural studies, and other anthropological streams. Papers may focus on conflicts and potential conflicts at a variety of levels—family and kinship problems, local neighborhoods and communities, intranational and international relations, multinational and supranational systems. Send titles and 100-word abstracts by November 30, 1993, to Alvin W. Wolfe, Department of Anthropology, University of South Florida, 4202 E. Fowler Ave., SOC 107, Tampa, Florida 33620; or Honggang Yang, Conflict Resolution Program, The Carter Center of Emory University, One Copenhill, Atlanta, Georgia 30307.


2021 ◽  
pp. 196-214 ◽  
Author(s):  
René Veenstra ◽  
Gijs Huitsing

2020 ◽  
pp. 001112872092254
Author(s):  
David Hatten ◽  
Eric L. Piza

This study investigates the temporal stability of identified near-repeat robbery patterns in Newark, New Jersey. With one noteworthy exception, scholars have yet to explore the temporal stability of identified spatiotemporal crime clusters. Furthermore, researchers have yet to measure the near-repeat phenomenon longitudinally. To fill this gap, this study employs a longitudinal design to measure variation in effect size and significance of identified near-repeat crime patterns across 13 “rolling” one-year time periods within a 2-year study period (January 2015–December 2016). Temporal instability was found within two out of six spatiotemporal crime clusters. Results are reported in the form of formalized descriptive statistics and visualizations of temporal trends.


2015 ◽  
Vol 100 (3) ◽  
pp. 597-622 ◽  
Author(s):  
Dorothy R. Carter ◽  
Leslie A. DeChurch ◽  
Michael T. Braun ◽  
Noshir S. Contractor

Author(s):  
Mariano Kanamori ◽  
Daniel Castaneda ◽  
Kyle J. Self ◽  
Lucy Sanchez ◽  
Yesenia Rosas ◽  
...  

Latinx seasonal farmworkers are essential workers and are at elevated risk for SARS-CoV-2 in the United States. Risk factors for SARS-CoV-2 are unique to this population and include crowded living conditions, isolated social networks, and exploitative working environments. The circumstances and cultural values of Latinx seasonal farmworkers pose a unique challenge to public health authorities working to contain the spread of SARS-CoV-2. This community is in dire need of urgent public health research to identify opportunities to prevent SARS-CoV-2 transmission: social network methods could be the solution. Using previously collected and new information provided by a team of experts, this commentary provides a brief description of Latinx seasonal farmworker disparities that affect tracking and treating SARS-CoV-2 in this important group, the challenges introduced by SARS-CoV-2, and how social network approaches learned from other infectious disease prevention strategies can address these disparities.


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