Greek University Students’ Real-Life Friendships: Social Network Analysis and Data Mining

Stanislava Yordanova Stoyanova, Ph.D.
Department of Psychology, South-West University “Neofit Rilski”, Blagoevgrad, Bulgaria

Vaitsa Giannouli, Ph.D.
Institute of Neurobiology, Bulgarian Academy of Sciences, Sofia, Bulgaria

Series: Psychology Research Progress
BISAC: PSY031000



Volume 10

Issue 1

Volume 2

Volume 3

Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick


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While there is a growing body of research on friendship networks analysis, there is still a dearth of knowledge for Greek friendship networks. Greek students’ friendship networks were studied here by means of a name generator and a name interpreter by applying a social network analysis procedures and data mining. The studied social network consisted of 451 Greek students (Egos) and their 1,804 friends (Alters). The hypothesis that most friends shared a lot of common features (the same social categorisation and status) was supported partly by the research findings. Most friends shared the same national identity, language, occupation – students, urban location, and religion, but homophily in age and gender belonging was not strongly expressed. Gender belonging differentiated Greek students’ friendships in relation to more female self-disclosure and more frequent contacts in male Ego networks.

In addition, there were some repeated patterns in the students’ friendship networks in Greece, such as some small and isolated components consisting of the individuals who were related only in the subgraph, according to the “small world model”. There were also some related components consisting of the individuals whose friends were also the friends of some other studied individuals, according to the “preferential attachment model” and the “social balance theory”. Greek students’ friendships were characterised by frequent and personal communication between Greek students and discussing politics. Data mining revealed some role attributes such as age belonging and territorial identity, which differentiated the activities performed by the friends. However, no discrimination trends related to gender belonging, nor to an ethnic background. Future research should not only compare the form of the friendship networks in Greece and in other countries, but also elucidate the factors that alter them.


Chapter 1. Literature Review of Theoretical Assumptions Regarding Friendship and Previous Research Findings

Chapter 2. Hypotheses

Chapter 3. Method

Chapter 4. Results

Chapter 5. Discussion

Chapter 6. Conclusion

Chapter 7. Summary


Appendix: Name Generator and Name Interpreter for Studying the Friendship Networks


Click here to read the book review by - Assoc. Prof. Mariya Mutafova, PhD, South-West University, Bulgaria.

Click here to read the book review by - Professor Yolanda Zografova, DPhil., Head of Social, Work and Consultative Psychology Research Unit,IPHS, BAS

Aatthi, G. T., Aishwarya, R., Mallika, R., & Angel, A. (2015). Prediction of social network sites using WEKA tool. International Journal of Advanced technology in Engineering and Science, 3 (Special issue 1), 289–293.
Adamic, L. (2013). Network centrality. Retrieved in July 2017, from
Adedoyin-Olowe, M., Gaber, M. M., & Stahl, F. (2014). A survey of data mining techniques for Social Network Analysis. International Journal of Research in Computer Engineering and Electronics, 3(6), 1–8. Retrieved from
Adler, A. (1997). Ponât’ prirodu čeloveka [Understanding human nature]. Saint Petersburg, Russia: Akademičeskij proekt [Academical project].
Argyle, M., & Henderson, M. (1984). The rules of friendship. Journal of Social and Personal Relationships, 1, 211-237.
Aristotle (1962). The politics. UK: Penguin Books.
Aristotle (2014). The Nicomachean Ethics. (W. D. Ross, Translator). Adelaide: University of Adelaide, eBooks@Adelaide. Retrieved from
Aronson, E. (2011). The social animal. 11th edition. Duffield, Derbyshire: Worth Publishers.
Ball, B., & Newman, M. E. J. (2013). Friendship networks and social status. Network Science, 1(01), 16–30. doi:10.1017/nws.2012.4.
Banai, A., Ronzoni, M., & Schemmel, C. (2011). Social justice, global dynamics: Theoretical and empirical perspectives. Florence: Taylor and Francis.
Barnett, G. A., & Benefield, G. A. (2015). Predicting international Facebook ties through cultural homophily and other factors. New Media & Society, 19(2), 217-239. doi:10.1177/1461444815604421.
Beauguitte, L. (2009). Ucinet et Netdraw Logiciels pour l’analyse des réseaux sociaux Petit mode d’emploi Version 1.01. Retrieved from
Borgatti, S. P., Everett, M. G., & Freeman, L. C. (2002). Ucinet 6 for Windows: Software for Social Network Analysis. Harvard, MA: Analytic Technologies.
Borgatti, S. P., Mehra, A., Brass, D. J., & Labianca, G. (2009). Network analysis in the social sciences. Science, 323(5916), 892-895.
Borghini, A. (2017). Best friendship quotes. Retrieved from https://www.
Brandes, U., Robins, G., McCranie, A., & Wasserman, S. (2013). What is network science? Network Science, 1(01), 1–15. doi:10.1017/nws.
Burton, N. (2012). The philosophy of friendship. Aristotle on the other self. Retrieved from
Carpenter, E. (1917). II The place of friendship in Greek life and thought. In Ioläus. An anthology of friendship. Retrieved from http://www.
Carr, K. E. (n. d.). Greek friends. Study Guides, Retrieved from
Carrincazeaux, C., Grossetti, M., & Talbot, D. (2008). Clusters, proximities and networks. European Planning Studies, 16(5), 613-616.
Clark, M. T. (2015). Augustine on justice. In T. Delgado, J. Doody, & K. Paffenroth (Eds.), Augustine and social justice (pp. 3–10). Lanham, MD: Lexington Books.
Christakis, N. A., & Fowler, J. H. (2011). Connected: The surprising power of our social networks and how they shape our lives -- how your friends’ friends’ friends affect everything you feel, think, and do. (Reprint edition). New York: Back Bay Books.
Creative Research Systems. (2012). Sample Size Calculator. Retrieved from
Currarini, S., Matheson, J., & Vega-Redondo, F. (2016). A simple model of homophily in social networks. European Economic Review, 90, 18–39.
DeSantis, A. D. (2007). Inside Greek U.: Fraternities, sororities, and the pursuit of pleasure, power, and prestige. Lexington, Kentucky: The University Press of Kentucky.
Dishion, T. J., & Owen, L. D. (2002). A longitudinal analysis of friendships and substance use: Bidirectional influence from adolescence to adulthood. Developmental Psychology, 38(4), 480-491.
Doroud, M., Bhattacharyya, P., Wu, S. F., & Felmlee, D. (2011). The evolution of ego-centric triads: A microscopic approach toward predicting macroscopic network properties. In R. Bilof (Ed.), Proceedings from 2011 IEEE International Conference on Privacy, Security, Risk, and Trust, and 2011 IEEE Third International Conference on Social Computing (PASSAT/SocialCom) (pp. 172-179). Boston, MA: CPS. Retrieved in from
dos Santos Barão, A. H. (2012). Social networks modelling and evaluation of organizational relational capital using SNARE. Thesis approved in public session to obtain the PhD Degree in Information Systems and Computer Engineering. Lisboa: Universidade Técnica De Lisboa, Instituto Superior Técnico.
Eurostat Statistics Explained. (2017). File: Number of tertiary education students by level and sex, 2015 (thousands) YB17.png. Retrieved from
Faust, K. (2006). Comparing social networks: Size, density, and local structure. Metodološki zvezki [Advances in Methodology and Statistics], 3(2), 185-216.
Ferrand, A., & De Federico De La Rua, A. (2006). Mèthodes d’analyse des réseaux sociaux [Methods of analysis of social networks]. In Caselli, G., Vallin, J. & Zunsch, G. (Eds), Encyclopédie de démografie: analyse et synthèse. Obsevation, méthodes auxiliaires, enseignement et recherche [Encyclopedy of demografics: Analysis and synthesis. Observation, auxiliary methods, education and research] (Volume VІІІ, pp. 459-495). Paris: INED.
Fowler, J. H., Heaney, M. T., Nickerson, D. W., Padgett, J. F., & Sinclair, B. (2011). Causality in political networks. American Politics Research, 39(2), 437–480. doi:10.1177/1532673X10396310.
Franceschet, M. (n.d.a). Betweenness centrality. Network Science. Retrieved from
Franceschet, M. (n. d. b). Transitivity. Network Science.

Retrieved from
Frank, E., Hall, M. A., & Witten, I. H. (2016). The WEKA workbench. Online appendix for “Data mining: Practical machine learning tools and techniques. (4th edition).” Burlington, Massachusetts: Morgan Kaufmann.
Freeman, L. C. (1979). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215-239.
Devere, H. (2017). Friendship – Male-male friendship. In: Science Encyclopedia. Science & Philosophy: Formate to Gastropoda. NetIndustries. Retrieved from 9404/Friendship-Male-Male-Friendship.html.
Doucerain, M. M., Varnaamkhaasti, R. S., Segalowitz, N., & Ryder, A. G. (2015). Second language social networks and communication-related acculturative stress: the role of interconnectedness. Frontiers in Psychology, 6, 1111.
Ganeva, Z. (2010). Sotsialni identichnosti i psihichno blagopoluchie [Social identities and psychological well-being]. Sofia: Valdex LTD.
Ge, Y., Liu, L., Qiu, X., Song, H., Wang, Y., & Huang, K. (2013). A framework of multilayer social networks for communication behavior with agent-based modeling. Simulation, 89(7), 810–828.
Giannouli, V. (2013a). Beliefs concerning human nature among university students and high school teachers twenty-four years ago and today. International Journal of Innovation and Applied Studies, 4(4), 643-648.
Giannouli, V. (2013b). Number perseveration in healthy subjects: Does prolonged stimulus exposure influence performance on a serial addition task? Advances in Cognitive Psychology, 9(1), 15-19. doi: 10.2478/v10053-008-0127-8.
Giannouli, V. (2013c). Attitudes towards music as a means of therapy: can it help to overcome depression and/or cardiovascular disease?. Health Psychology Research, 1(1), e7. doi: 10.4081/hpr.2013.e7.
Grossetti, M. (1997). Communication électronique et réseaux sociaux [Electronic communication and social networks]. Flux, 13 (29), 5-13. doi: 10.3406/flux.1997.1206.
Hall, M. (n.d.). Class CfsSubsetEval. weka.attributeSelection. Retrieved from
Hall, M., & Guetlein, M. (n.d.). Class BestFirst. weka.attributeSelection. Retrieved from
Han, J., Kamber, M., & Pei, J. (2011). Data mining: Concepts and techniques. (3rd ed.). Burlington, Massachusetts: Morgan Kaufmann.
Hanneman, R., & Riddle, M. (2005). Introduction to social network methods. Retrieved from
Healy, M. (2011). Civic friendship. Studies in Philosophy & Education, 30(3), 229-240. doi: 10.1007/s11217-011-9221-3.
Helm, B. (2013). Friendship. In E. N. Zalta (Ed.), Stanford Encyclopedia of Philosophy. Retrieved from
Herman, G. (2002). Ritualised friendship and the Greek city. Cambridge: Cambridge University press.
Hill, M. (2002). Network assessments and diagrams. A flexible friend for social work practice and education. Journal of Social Work, 2(2), 233–254.
Iosifides, T. (2013). Qualitative methods in migration studies: A critical realist perspective. Ashgate Publishing, Ltd.
Ivantchev, N. (2017). Convictions about the self and the mate. Saarbrücken: Lambert Academic publishing.
Jackson, M. O., & Lopez-Pintado, D. (2013). Diffusion and contagion in networks with heterogeneous agents and homophily. Network Sicence, 1(1), 49-67. doi:10.1017/nws.2012.7.
Karova, I. (2016). Smisal v zhivota I psihichno blagopoluchie v razvitieto na lichnostta [Meaning in life and mental well-being in personality development]. In I. Karova, V. Angelova, V. Stoeva, & K. Tagareva (Eds.), Smisal I psihichno blagopoluchie v razvitieto [Meaning and mental well-being in development] (pp. 5-31). Plovdiv: Plovdiv University “Paisii Hilendarski.”
Kelley, H. H. (1967). The social psychology of groups. Piscataway, NJ: Transaction Publishers.
Kossinets, G., & Watts, D. J. (2009). Origins of homophily in an evolving social network. American Journal of Sociology, 115(2), 405–450. doi:10.1086/599247.
Kuhn, M., & McPartland, T. S. (1951). An empirical investigation of self-attitudes. American Sociological Review, 19, 68-76.
Kühnel, J. (2014). Mining sequence patterns from data collected by brain damage rehabilitation. A Thesis for the Degree of Bachelor of Science in Computer Science. Vienna; University of Vienna.
Lewis, J., & West, A. (2009). “Friending”: London-based undergraduates’ experience of Facebook. New Media & Society, 11(7), 1209–1229.
Macedo, D., & Gounari, P. (2015). Globalization of racism. London, UK: Routledge.
Malikiosi-Loizos, M., & Anderson, L. R. (1999). Accessible friendships, inclusive friendships, reciprocated friendships as related to social and emotional loneliness in Greece and the USA. European Psychologist, 4(3), 165–178. doi:10.1027//1016-9040.4.3.165.
McCreary, F., Ehrich, R., & Lisanti, M. (2001). A social network study of online communication among elementary students and teachers with home internet access. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 45(5), 575-579. doi: 10.1177/
McKay, B., & McKay, K. (2008). Friendship, relationships, & family. The history and nature of man friendships. Retrieved from http://www.
McPherson, M., Smith-Lovin, L., & Brashears, M. E. (2006). Social isolation in America: Changes in core discussion networks over two decades. American Sociological Review, 71(3), 353-375. doi: 10.1177/
Meilaender, G. (1999). Friendship in the classical world. First things. Retrieved from
Mitchell, L. G. (1994). The Greeks and their foreign friendships, 435-336 BC, Durham theses, Durham University. Retrieved from Durham E-Theses Online:
Montgomery, C., & McDowell, L. (2009). An international community of practice ? Journal of Studies in International Education, 13(4), 455–466.
Nykamp, D. Q. (n.d.). Definition of the transitivity of a graph. Math Insight. Retrieved from
Otte, E., & Rousseau, R. (2002). Social network analysis: A powerful strategy, also for the information sciences. Journal of Information Science, 28(6), 441–453.
Ouyang, F., & Reilly, C. (n.d.). Social Network Analysis. Retrieved from
Oxford reference. (2017). Greek friendship. Retrieved from http://www.
Park, J. J., & Kim, Y. K. (2013). Interracial friendship and structural diversity: Trends for Greek, religious, and ethnic student organizations. The Review of Higher Education, 37(1), 1-24, doi: 10.1353/rhe.2013.
Raosoft. (2004). Sample size calculator. Retrieved from http://www.
Rokeach, M. (1973). The nature of human values. New York: Free Press.
Schweitzer, F., Fagiolo, G., Sornette, D., Vega-Redondo, F., & White, D. R. (2009). Economic networks: What do we know and what do we need to know? Advances in Complex Systems, 12(4), 407–422. doi:10.1142/S0219525909002337.
Scott, J. (2013). Social network analysis. London: Sage.
Shizuka, D., & McDonald, D. B. (2012). A social network perspective on measurements of dominance hierarchies. Animal Behaviour, 83(4), 925–934.
Skues, J. L., Williams, B., & Wise, L. (2012). The effects of personality traits, self-esteem, loneliness, and narcissism on Facebook use among university students. Computers in Human Behavior, 28(6), 2414-2419. doi:10.1016/j.chb.2012.07.012.
Small, M. L., Deeds Pamphile, V., & McMahan, P. (2015). How stable is the core discussion network? Social Networks, 40, 90–102. doi:10.1016/j.socnet.2014.09.001.
Smith, M., Hansen, D. L., & Gleave, E. (2009). Analyzing enterprise social media networks. 2009 International Conference on Computational Science and Engineering, 4, 705–710.
Snijders, T. A. B., Pattison, P. E., Robins, G. L., & Handcock, M. S. (2006). New specifications for exponential random graph models. Sociological Methodology, 36(1), 99-153.
Spector, M. (2017). Constructing social problems. London, UK: Routledge.
Stevens, J. (2010). Comparing multiple social networks using mutiple dimensional scaling. Methodological Innovations Online, 5(1), 86–102.
Stoyanova, S. (2008). Factors influencing the choice of friends - Analysis of Bulgarian friendship networks. Portularia, 8(1), 93-109.
Stoyanova, S. (2014). Media representation of young people’s identity in Bulgaria. Journal of Neurology and Psychology, Special Issue Social Psychology, 1-7.
Stoyanova, S., & Yovkov, L. (2016). Educational objectives in E-learning. International Journal of Humanities, Social Sciences and Education, 3(9), 8–11.
Subrahmanyam, K., Reich, S. M., Waechter, N., & Espinoza, G. (2008). Online and offline social networks: Use of social networking sites by emerging adults. Journal of Applied Developmental Psychology, 29(6), 420-433. doi:10.1016/j.appdev.2008.07.003.
SurveyMonkey. (2017). Sample size calculator. Retrieved from
Tarbush, B., & Teytelboym, A. (2012). Homophily in online social networks. In P. W. Goldberg (Ed.), Internet and Network Economics. 8th International Workshop, WINE 2012, Liverpool, UK, December 10-12, 2012. Proceedings. Lecture Notes in Computer Science (Vol. 7695, pp. 512-518). Berlin: Springer - Verlag.
Taylor, C. (2011). Women’s social networks and female friendship in the ancient Greek city. Gender & History, 23(3), 703-720. doi: 10.1111/
Taylor, T. (1818). The rhetoric, poetic, and Nicomachean ethics of Aristotle, translated from the Greek. Vol. II. London: James Black and Son.
The GW Hatchet. (2013). The sham friendships of Greek life. Retrieved from Tale of Two Friendships: Why Greek Female Friendships… (2017). Retrieved from
Thomas, D., Li, R. Q., Knott, L., & Li, Z. (2008). The structure of student dialogue in web-assisted mathematics courses. Journal of Educational Technology Systems, 36(4), 415-431.
Titzmann, P. F., Silbereisen, R. K., & Mesch, G. S. (2012). Change in friendship homophily: A German Israeli comparison of adolescent immigrants. Journal of Cross-Cultural Psychology, 43(3), 410–428.
Titzmann, P. F., Silbereisen, R. K., & Schmitt-Rodermund, E. (2007). Friendship homophily among diaspora migrant adolescents in Germany and Israel. European Psychologist, 12(3), 181–195. doi:10.1027/1016-9040.12.3.181.
Travers, J., & Milgram, S. (1969). An experimental study of the small world problem. Sociometry, 32(4), 425-443.
Tsai, J. H.-C. (2006). Xenophobia, ethnic community, and immigrant youths’ friendship network formation. Adolescence, 41(162), 285-298.
UCINET 6 for Windows Help Index. (n. d.). Betweeness. Network > Centrality > Betweenness > Nodes. Retrieved from http://www.
Vedanayaki, M. (2014). A study of data mining and social network analysis. Indian Journal of Science and Technology, 7(S7), 185–187.
Ventoura, L. (2004). Ethnikismós, ratsismós kai metanástefsi sti sýnchroni Elláda. I Elláda tis metanástefsis: Koinonikí symmetochí, dikaiómata, ithagéneia [Nationalism, racism and immigration in contemporary Greece. Greece of immigration: Social participation, rights, citizenship]. Athens: KEMO.
Wang, C., Lizardo, O., Hachen, D., Strathman, A., Toroczkai, Z., & Chawla, N. V. (2013). A dyadic reciprocity index for repeated interaction networks. Network Science, 1(01), 31–48. doi:10.1017/
Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. (Vol. 8). Cambridge, UK: Cambridge University Press.
Witten, I. H., & Frank, E. (2005). Data mining: Practical machine learning tools and techniques. (Second edition). Burlington, Massachusetts: Morgan Kaufmann.
Youngblade, L. M., & Belsky, J. (1992). Parent-child antecedents of 5-year-olds’ close friendships: A longitudinal analysis. Developmental Psychology, 28(4), 700-713.
Zafarani, R., Abbasi, M. A., & Liu, H. (2014). Social media mining: An introduction. Cambridge: Cambridge University Press. 10.1017/CBO9781139088510.
Zhang, C., Jin, Y., Jin, W., & Liu, Y. (2015). Study of data mining algorithm in social network analysis. Proceedings of the 3Rd International Conference on Mechatronics, Robotics and Automation (Icmra 2015), 15(Icmra), 1197–1202. Retrieved from http://apps.
Zografova, Y. (2016). Diversity form social psychological perspective. Sofia: Institute for Population and Human Studies at Bulgarian Academy of Sciences.

The principal audiences for the publication are psychologists and sociologists – university lecturers and researchers. The book will appeal to the students, because the students’ friendships were studied.
This book will be useful to professional social psychologists as well as undergraduate and graduate psychology students.

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