인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Abstract Purpose Offenders often select partners based on shared characteristics such as age, sex, or ethnicity, a phenomenon known as homophily. At the same time, co-offenders also face a challenge of choosing between trustworthy partners to maintain stable collaborations and useful partners who provide access to new skills and information. This study investigates how homophily shapes the structure of criminal networks and, consequently, the diffusion of information within these networks. Methods Using an Agent-Based Model, we simulate a population of offenders that select partners either randomly or based on high similarity preference. When two agents mutually select each other, they commit a co-offense, forming a social network and exchanging skills. Results Compared to the case of the random partner selection, the homophily-driven environment results in sparse networks with a higher number of repeated interactions between agents, but with a slower rate of skill exchange. Moreover, on the individual level, having many partners is more beneficial for diverse skill acquisition, but those partners should belong to different subgroups. Conclusion The results provide insights into how offender preferences shape the structure and dynamics of criminal networks, particularly in relation to opportunities for collaboration and skill acquisition. The findings highlight a key trade-off introduced by homophily. Although it promotes stable partnerships, it restricts the exchange of information across the broader network.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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