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MAPPING FEAR OF CRIME THROUGH SOCIAL NETWORK MODEL

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