MAPPING FEAR OF CRIME THROUGH SOCIAL NETWORK MODEL

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Abstract

The present study analyzes fear of crime through social network model. The social network model is delimited to three dimensions i.e., private social network (PrSN), parochial social network (PaSN), and public social network (PbSN). The association and contribution of each of the dimension is estimated through binary logistic regression. Data for the study is collected from 298 out of 1186 employees and students of the Main Campus of Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa-Pakistan. Findings of the study show that the three dimensions are inversely related to the fear of crime. It means that improvement in private, parochial, and public social networks reduces fear of crime. Further, it is observed that private and public social networks are contributing more than parochial social network in reducing fear of crime in Pakhtun society of district Mardan. Thus, it is inferred that social networks through the development of a sense of empowerment among the members decrease fear of crime. Stronger social networks act as a social control mechanism and reduce the likelihood of the occurrence of deviant, and/or criminal behavior in a society
通过社会网络模型映射犯罪恐惧
本研究通过社会网络模型分析犯罪恐惧。将社会网络模型划分为三个维度,即私有社会网络(PrSN)、教区社会网络(PaSN)和公共社会网络(PbSN)。通过二元逻辑回归估计每个维度的关联和贡献。该研究的数据来自巴基斯坦开伯尔-普赫图赫瓦省马尔丹阿卜杜勒瓦利汗大学主校区1186名员工和学生中的298名。研究结果表明,这三个维度与犯罪恐惧呈负相关。这意味着私人、教区和公共社交网络的改善减少了对犯罪的恐惧。此外,可以观察到,在减少马尔丹区普什图人社会对犯罪的恐惧方面,私人和公共社会网络比教区社会网络贡献更大。因此,我们推断,社会网络通过发展成员之间的授权感来减少对犯罪的恐惧。强大的社会网络作为一种社会控制机制,减少社会中出现越轨行为和/或犯罪行为的可能性
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