CAJ | 학술논문

已有的用户角色研究中，不少学者定义了角色的数目和特征，对特定数据集取得了较好的效果，但存在的两个问题：1)通用性较差，若更换数据集必须重新分析；2)现实世界中用户行为和关系纷繁复杂，用户角色多种多样，难以通过人为的定义去描述和识别。因此，本文基于张量分解模型提出了一种用户角色发现算法，它不仅能自动设定角色数量，而且能反映角色在指定时间段的行为特征。进一步将用户角色延伸到社团角色，提出基于社团角色距离和节点重叠的社团演化分析方法。实验结果表明，识别出的用户角色其行为特征与实际情况吻合，提出的社团演化分析方法其效果也高于对比算法。
이유적용호각색연구중，불소학자정의료각색적수목화특정，대특정수거집취득료교호적효과，단존재적량개문제：1)통용성교차，약경환수거집필수중신분석；2)현실세계중용호행위화관계분번복잡，용호각색다충다양，난이통과인위적정의거묘술화식별。인차，본문기우장량분해모형제출료일충용호각색발현산법，타불부능자동설정각색수량，이차능반영각색재지정시간단적행위특정。진일보장용호각색연신도사단각색，제출기우사단각색거리화절점중첩적사단연화분석방법。실험결과표명，식별출적용호각색기행위특정여실제정황문합，제출적사단연화분석방법기효과야고우대비산법。
In the existing study of user roles,many scholars have defined the number and characteris-tics of roles,which have achieved good results in a particular dataset.But there are two problems:1)the generality is poor,i.e.,it must be reanalyzed if the dataset has been replaced;2)in the real world,user's behavior and relationships are complicate and user roles are varied.So it's very difficult to describe and i-dentify them with the artificial definition.So,this article proposed a user role found algorithm based on the tensor decomposition model.This algorithm can not only set the number of roles automatically,but al-so reflect the behavior characteristics of the role in specified period of time.Furthermore,this article ex-tended user role to community roles and raised a community evolution analysis method based on the dis-tance of community roles and the node overlapping.The experiment results indicate that the behavior char-acteristics of the identified roles are consistent with the fact,and the community evolution analysis method proposed has better effect than comparison algorithms.