هوموفیلی در شبکه‌های اجتماعی مجازی (مطالعه موردی شبکه اجتماعی مجازی دانشگاه تحصیلات تکمیلی زنجان)

نوع مقاله : مقاله علمی پژوهشی

نویسندگان

1 استادیار فناوریهای بین رشته ای، سامانه شبکه، دانشکده علوم و فنون نوین، دانشگاه تهران

2 استاد ارتباطات و جامعه شناسی دانشگاه تهران

3 دانشجوی کارشناسی ارشد فناوری اطلاعات، گرایش سامانه های شبکه، دانشکده علوم و فنون نوین دانشگاه تهران

چکیده

در این پژوهش درصدد هستیم تا وزن ویژگی‌های مختلف هوموفیلی ازجمله: جنسیت، مقطع تحصیلی، رشته تحصیلی، سال ورود به دانشگاه، شهرستان محل سکونت و وضعیت تأهل را برای کاربران ایرانی در یک شبکه اجتماعی مجازی نمونه (دانشجویان تحصیلات تکمیلی زنجان)، به دست آوریم. تا آنجا که می‌دانیم، این مقاله اولین کار پژوهشی است که الگوی رفتاری کاربران ایرانی در شبکه‌های اجتماعی مجازی، را مورد مطالعه قرار می‌دهد.
ساختار مقاله نیز مبتنی بر بیان مسئله و بعد ارائه طرح نظری برای تبیین نظری آن‌که مبتنی بر استفاده از نظریه هوموفیلی برای شناسایی روابط هوموفیلی در بین دانشجویان دانشگاه زنجان به‌عنوان نمونه موردی است.  سپس در بخش روش‌شناسی به ارائه ابزار اندازه‌گیری هوموفیلی می‌پردازیم و در نهایت نیز تحلیل‌ها را ارائه کرده و نتیجه‌گیری می‌کنیم تا دستاورد علمی مقاله روشن شود.

کلیدواژه‌ها


عنوان مقاله [English]

Homophily in Virtual Social Networks: A Case Study of Virtual Social Network in Graduate University of Zanjan

نویسندگان [English]

  • Mostafa Salehi 1
  • Hamid Abdollahyan 2
  • Alireza Eshaghpoor 3
1 Assistant Professor of Interdisciplinary Technologies, Faculty of New Science and Technology, University of Tehran
2 Professor of University of Tehran
3 MA Student, Network Science and Technology, Faculty of New Science and Technology, University of Tehran
چکیده [English]

This paper offers an interdisciplinary study on mechanisms of homophily in virtual social network at Graduate University of Zanjan. Despite the significance of homophily, not many studies have been done on it. It is for this reason this paper sets its objective to study homophily in Iran and considers its unit of analysis to be Graduate University of Zanjan.
Theoretically the paper uses a theoretical synthesis based on what homophily means in the discipline of Network Science and Technology and combines it with the concept of homophily in Communication and Sociology.
Methodologically, the paper collects its data from among students at Graduate University of Zanjan during a period of 2009 and 2014. We used some interviews and set up some face-to face interviews with questionnaires in addition to observations in order to complete the data gathering. Then we calculated the number of connections with similar characteristics of individuals and subtracted them from total connections expected in a random situation so to measure homophily. Here the paper has measured characteristics or variables such as gender, graduate degree level, discipline, city of residence, marital status, and year of entering university. Some of the results indicate that students, who use social network of Graduate University of Zanjan, select their friends based on the following characteristics and in the following order: similarity in gender, marital status, degree level, discipline, year of entering university, and city of residence. Our observations indicate that religious norms play a special role in communicating with opposite sex.

کلیدواژه‌ها [English]

  • homophily
  • Virtual Social Networks
  • measuring homophily traits. Zanjan
  • internet users
-   A Smith, J., McPherson, M., & Smith-Lovin, L. (2014, 6 1). Social Distance in the United States Sex, Race, Religion, Age, and Education Homophily among Confidants, 1985 to 2004. American Sociological Review, 79(3), 432-456.
-   Aiello, L., Barrat, A., Schifanella, R., Cattuto, C., Markines, B., & Menczer, F. (2012, 5 1). Friendship prediction and homophily in social media. ACM Transactions on the Web (TWEB), 6(2), 9-51.
-   Akcora, C., Carminati, B., & Ferrari, E. (2013). User similarities on social networks. Social Network Analysis and Mining, 3(3), 475-495.
-   B.Kandel, D. (1978). Homophily, Selection, and Socialization in Adolescent Friendships. American Journal of Sociology, 84(2), 427-436.
-   Barberá, P. (2015). Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data. Political Analysis, 23(1), 76-91.
-   Boriah, S., Chandola, V., & Kumar, V. (2008). Similarity measures for categorical data: A comparative evaluation. Red, 30(2), 3.
-   Getoor, L., & Diehl, C. (2005). Link mining: a survey. ACM SIGKDD Explorations Newsletter, 7(2), 3-12.
-   H. Marx, J., & Spray, S. (1972). Psychotherapeutic "Birds of a Feather": Social-Class Status and Religio-Cultural Value Homophily in the Mental Health Field. Journal of Health and Social Behavior, 13(4), 413-428.
-   Han, X. (2015). Mining user similarity in online social networks: analysis, modeling and applications. Evry, Institut national des télécommunications.
-   Han, X., Wang, L., Crespi, N., Park, S., & Cuevas, Á. (2015, 1 31). Alike people, alike interests? Inferring interest similarity in online social networks. Decision Support Systems, 69, 92-106.
-   Hyung Kang, J., & Lerman, K. (2012). Using Lists to Measure Homophily on Twitter. Workshops at the Twenty-Sixth AAAI Conference on Artificial Intelligence.
-   Liben-Nowell, D., & Kleinberg, J. (2007). The link-prediction problem for social networks. Journal of the American society for information science and technology, 58(7), 1019-1031.
-   McPherson, M., & Smith-Lovin, L. (1987, 6 1). Homophily in voluntary organizations: Status distance and the composition of face-to-face groups. American sociological review, 370-379.
-   McPherson, M., Smith-Lovin, L., & M Cook, J. (2001). Birds of a Feather Homophily in Social Networks. jstor, 27, 415-444.
-   Mislove, A., Marcon, M., Gummadi, K., Druschel, P., & Bhattacharjee, B. (2007). Measurement and analysis of online social networks. ACM SIGCOMM conference on Internet measur, (pp. 29-42).
-   Newman, M. (2010). Networks An Introduction. New York, United States: Oxford University Press Inc.
-   Yamaguchi, K. (1990). Homophily and Social Distance in the Choice of Multiple Friends: An Analysis Based on Conditionally Symmetric Log-Bilinear Association Model. Journal of the American Statistical Association, 85(410), 356-366.