Understanding and Analyzing Social Network Structure Among University Students

M. Hossen, Md. Aminul Islam
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Abstract

Mobile phone arguably is one of the most reached and used technology in human history. Technology has become ubiquitous in the life of human beings. Equipped with multiple sensors and devices, smartphones can record each and every action, psychological and environmental states of users, making it a goldmine of rich data about and insight into the dynamics of human communication, human behavior, relationships, and social interaction. As a source of data for empirical research, this device has gotten much attention from scholars in various disciplines like sociology, social psychology, urban studies, communication and media studies, public health, epidemiology, and computer science. This research tries to understand the structure of social networks of university students by investigating their communication patterns using self-reported mobile phone data. We collected behavioral data for one month using a Call Log Analytics mobile phone app. The data contained information about respondents’ contacts, date and time of call, duration of the call, call type (e.g., incoming, outgoing, missed), and frequency of the call. We used UCINET to analyze the data. In this investigation, we can find those students who are connected to most of the classmates and maintain a strong relationship and perform a task successfully using the values of eigenvector, closeness, and betweenness centrality, respectively. Moreover, this study also helps us to find out the pattern of the students using contact duration, incoming and outgoing calls.
大学生社会网络结构的认识与分析
手机可以说是人类历史上最广泛使用的技术之一。科技在人类生活中已经无处不在。智能手机配备了多个传感器和设备,可以记录用户的每一个动作、心理和环境状态,使其成为了解人类交流、人类行为、关系和社会互动动态的丰富数据和洞察力的金矿。作为实证研究的数据来源,该设备受到了社会学、社会心理学、城市研究、传播与媒体研究、公共卫生、流行病学、计算机科学等各学科学者的关注。本研究试图通过调查大学生的通讯模式来了解大学生的社会网络结构。我们使用Call Log Analytics手机应用程序收集了一个月的行为数据。这些数据包括受访者的联系人、通话日期和时间、通话时长、通话类型(例如,来电、呼出、未接)和通话频率等信息。我们使用UCINET对数据进行分析。在这次调查中,我们可以找到那些与大多数同学有联系的学生,并分别使用特征向量,亲密度和中间性中心性的值来保持牢固的关系并成功地完成任务。此外,本研究还可以帮助我们了解学生使用联系时长、呼入和呼出的模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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