Temporal aspects of individual behavior.

2005 ◽  
pp. 27-45
Author(s):  
Joseph E. McGrath ◽  
Franziska Tschan
Keyword(s):  
Individual Behavior ◽  
Temporal Aspects

Annotation and Analyses of Temporal Aspects of Spoken Fluency

2013 ◽  
Vol 26 (3) ◽  
pp. 644-661 ◽  
Author(s):  
Heather Hilton
Keyword(s):  
Temporal Aspects

scholarly journals Discovering Spatial-Temporal Indication of Crime Association (STICA)

2021 ◽  
Vol 10 (2) ◽  
pp. 67
Author(s):  
Chao Jiang ◽  
Lin Liu ◽  
Xiaoxing Qin ◽  
Suhong Zhou ◽  
Kai Liu
Keyword(s):  
Pattern Analysis ◽  
Kernel Density ◽  
Time Varying ◽  
Contributing Factors ◽  
Crime Patterns ◽  
Temporal Aspects ◽  
Thematic Mapping ◽  
New Vision ◽  
Specific Implementation ◽  
Further Development

The importance of combining spatial and temporal aspects has been increasingly recognized over recent years, yet pertinent pattern analysis methods in place-based crime research still need further development to explicitly indicate spatial-temporal localities of pertinent factors’ influence ranges. This paper proposes an approach, Spatial-Temporal Indication of Crime Association (STICA), to facilitate identifying the main contributing factors of crime, which are operated at diverse spatial-temporal scales. The method’s rationale is to progressively discern the spatial zones with diverse temporal crime patterns. A specific implementation of the STICA approach, by combining kernel density estimation, k-median-centers clustering, and thematic mapping, is applied to understand the burglary in an urban peninsula, China. The empirical findings include: (1) both the main time-stable and time-varying factors of crime can be indicated with the disparities of temporal crime patterns for different spatial zones based on the STICA results. (2) The spatial range of these factors can enlighten the understanding of interactions for generating crime patterns, especially with regards to how temporally transient and spatially global factors can produce a locally crime-ridden zone through the mediation of stable factors. (3) The STICA results can reveal the spatially contextual effects of stable factors, which are of great value to improve modeling crime patterns. As demonstrated, the STICA approach is effective in exploring contributing factors of crime and has shown great potential for providing a new vision in place-based crime research.

Economic and Sociological Accounts of Social Norms

2020 ◽  
Vol 42 (1) ◽  
pp. 41-96
Author(s):  
Hartmut Kliemt
Keyword(s):  
Social Norms ◽  
Social Order ◽  
Individual Behavior ◽  
Rule Following ◽  
Sociological Approach ◽  
Economic Methods ◽  
Experimental Economic ◽  
Seeking Behavior

AbstractClassifying accounts of institutionalized social norms that rely on individual rule-following as ‘sociological’ and accounts based on individual opportunity-seeking behavior as ‘economic’, the paper rejects purely economic accounts on theoretical grounds. Explaining the realworkings of institutionalized social norms and social order exclusively in terms of self-regarding opportunityseeking individual behavior is impossible. An integrated sociological approach to the so-called Hobbesian problem of social order that incorporates opportunityseeking along with rule-following behavior is necessary. Such an approach emerges on the horizon if economic methods are put to good sociological use on the basis of recent experimental economic findings on rule-following behavior.

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