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Social Network Analysis and Mining

Erschienen in:

01.12.2023 | Original Article

Who joins which network, and why?

verfasst von: Yuxin Zhang, Dafeng Xu

Erschienen in: Social Network Analysis and Mining | Ausgabe 1/2023

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Abstract

Social networks—such as alumni networks—affect the productivity of highly educated immigrants through collaboration, knowledge spillover, job referrals, etc. Using online social networking data, we study how international graduate students choose an online identity associated with the “main alumni network” when there are multiple schools attended, but only one alumni network can be selected. We focus on students who receive undergraduate education in China and graduate education in the USA using data from Renren.com, a China-based Facebook-type networking website, on which users can only identify one network among multiple options. We find that pre-migration preferences for Western culture—measured by English-name usage—increase the likelihood of choosing the US school network. Causal inference is based on the design of linguistic instrumental variables for English-name usage. While school prestige should also affect the choice of alumni network, our results highlight the importance of cultural preferences in network choices: The effect of English-name usage is significant regardless of school rankings.

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English is the mandatory subject in China’s college entrance test. Furthermore, in most colleges, students must take at least four semesters of English courses, and passing the English test is required for graduation.

After 2000, there have been an increasing number of native English speakers who teach various English classes (most commonly, oral English) in China’s K-12 schools and colleges.

These two features differentiate China from other major Asian countries or regions where (a) an English name can be officially included in the given name, and most citizens adopt and use English names (e.g., Singapore and Hong Kong), or (b) most students use names that reflect own ethnic and cultural traditions and do not adopt Westernized given names through English learning (e.g., Japan and India).

We test this by investigating Renren accounts of undergraduate students of Tsinghua University, which releases the list of incoming students. We find that over 90% of Tsinghua students have Renren accounts, registered after entering the college.

For example, the parenthesis “(Peking University)” or “(Harvard University)” will show the main network of a school in China or the USA. This design was in Renren’s older version before 2017, when the dataset of this paper was collected. In Renren’s current version, the school is shown at the top of the profile.

The C9 League comprises nine most prestigious universities in mainland China. These universities are (in alphabetical order): Fudan University, Harbin Institute of Technology, Nanjing University, Peking University, Shanghai Jiao Tong University, Tsinghua University, University of Science and Technology of China, Xi’an Jiao Tong University, and Zhejiang University.

Project 985 is the project initiated by the government of China, which allocates funding to China’s 39 universities with very high research activity. Non-C9 sponsored universities constitute the second tier.

One example involves shí which mean “stone” or “time” in Chinese and is widely used in masculine names. It is, however, pronounced as she by English speakers.

Reversal causality will make OLS estimates upward biased, which is found outweighed by measurement errors in the above papers. In this paper, we do not have reversal causality by Renren’s settings, as students are only likely to change the alumni network after moving to the USA, i.e., after posting their name usage.

Akerlof GA, Kranton RE (2000) Economics and identity. Quart J Econ 115(3):715–753

Arai M, Thoursie PS (2009) Renouncing personal names: an empirical examination of surname change and earnings. J Law Econ 27(1):127–147

Bardon T, Josserand E, Villesèche F (2014) Beyond nostalgia: identity work in corporate alumni networks. Hum Relat 26(4):583–606

Baruffaldi SH, Di Maio G, Landoni P (2017) Determinants of PhD holders’ use of social networking sites: an analysis based on LinkedIn. Res Policy 46(4):740–750

Baruffaldi SH, Landoni P (2017) Return mobility and scientific productivity of researchers working abroad: the role of home country linkages. Res Policy 41(9):1655–1665

Bassetti B (2007) Effects of hanyu pinyin on pronunciation in learners of Chinese as a foreign language. In: Guder Andreas, Jiang Xin, Wang Lexin (eds) The cognition, learning and teaching of Chinese characters. Beijing Language and Culture University Press, Beijing

Alberto B, Eleonora P, Theirry V, Yves Z (2016) Bend it like Beckham: ethnic identity and integration. Eur Econ Rev 90:146–164

Borjas GJ, Doran KB (2012) The collapse of the Soviet Union and the productivity of American mathematicians. Quart J Econ 127(3):1143–1203

Borjas GJ, Doran KB (2015) Which peers matter? The relative impacts of collaborators, colleagues, and competitors. Rev Econ Stat 94(5):1104–1117

Borjas GJ, Doran KB, Ying S (2018) Ethnic complementarities after the opening of China: How Chinese graduate students affected the productivity of their advisors. J Hum Resour 53(1):1–31

Celis S, Kim J (2018) The making of homophilic networks in international research collaborations: a global perspective from Chilean and Korean engineering. Res Policy 47(3):573–582

Crowley T, Bowern C (2010) An introduction to historical linguistics. Oxford University Press, New York

Davenport S (2004) Panic and panacea: brain drain and science and technology human capital policy. Res Policy 33(4):617–630

Dustmann C, van Soest A (2002) Language and the earnings of immigrants. Ind Labor Relat Rev 55(3):473–492

Edwards R (2006) What’s in a name? Chinese learners and the practice of adopting ‘English’ names. Lang Cult Curric 19(1):90–106

Edwards R, Caballero C (2008) What’s in a name? An exploration of the significance of personal naming of ‘Mixed’ children for parents from different racial, ethnic and faith backgrounds. Sociol Rev 56(1):39–60

Foley CF, Kerr WR (2013) Ethnic innovation and U.S. multinational firm activity. Manage Sci 59(7):1529–1544

Freeman Richard B, Huang Wei (2015) Collaborating with people like me: ethnic coauthorship within the United States. J Labor Econ 33(3):S289–S318

Gee LK, Jones J, Burke M (2017) Social networks and labor markets: how strong ties relate to job finding on Facebook’s social network. J Law Econ 35(2):485–518

Gerhards J, Hans S (2009) From Hasan to Herbert: name-giving patterns of immigrant parents between acculturation and ethnic maintenance. Am J Sociol 114(4):1102–1128

Gordon MM (1964) Assimilation in American life: the role of race, religion, and national origins. Oxford University Press, New York

Greenhow C, Robelia B (2007) Informal learning and identity formation in online social networks. Learn Media Technol 34(2):119–140

Hu C, Zhao L, Huang J (2015) Achieving self-congruency? Examining why individuals reconstruct their virtual identity in communities of interest established within social network platforms. Comput Hum Behav 50:465–475

Hunt J (2011) Which immigrants are most innovative and entrepreneurial? distinctions by entry visa. J Law Econ 29(3):417–457

Jones C, Volpe EH (2011) Organizational identification: extending our understanding of social identities through social networks. J Organ Behav 32(3):413–434

Jonkers K, Cruz-Castro L (2013) Research upon return: the effect of international mobility on scientific ties, production and impact. Res Policy 42(8):1366–1377

Kavakci E, Kraeplin CR (2016) Religious beings in fashionable bodies: the online identity construction of Hijabi social media personalities. Media Cult Soc 39(6):850–868

Kenney M, Breznitz D, Murphree M (2013) Coming back home after the sun rises: returnee entrepreneurs and growth of high tech industries. Res Policy 42(2):397–401

Kerr SP, Kerr WR (2020) Immigrant entrepreneurship in America: evidence from the survey of business owners 2007 & 2012. Research Policy, Paper, p 103918

Kerr WR (2008) Ethnic scientific communities and international technology diffusion. Rev Econ Stat 90(3):518–537

Kerr WR (2013) U.S. high-skilled immigration, innovation, and entrepreneurship: empirical approaches and evidence. NBER Working Paper No. 19377

Kerr WR, Lincoln WF (2010) The supply side of innovation: H-1B visa reforms and U.S. ethnic invention. J Law Econ 28(3):473–508

Lang D (1987) Stratification and prestige hierarchies in graduate and professional education. Sociol Inq 57(1):12–31

Larkey LK, Hecht ML, Martin J (1993) What’s in a name? African American ethnic identity terms and self-determination. J Lang Soc Psychol 12(4):302–317

Lee W-S, Zee E (2003) Standard Chinese (Beijing). J Int Phon Assoc 33(1):109–112

Li F, Miao Y, Yang C (2015) How do alumni faculty behave in research collaboration? An analysis of Chang Jiang scholars in China. Res Policy 44(2):438–450

Liu H (2007) New migrants and the revival of overseas Chinese nationalism. J Contemp Chin 14(43):291–316

Long LD, Oxfeld E (2004) Coming home?: Refugees, migrants, and those who stayed behind. University of Pennsylvania Press, Philadelphia

Long, Lynelle D, Ellen Oxfeld (2004) Coming Home?: Refugees, Migrants, and Those Who Stayed Behind. University of Pennsylvania Press

Mayer A, Puller SL (2008) The old boy (and girl) network: social network formation on university campuses. J Public Econ 92(1–2):329–347

Marmaros, David, Bruce Scerdote (2002) Peer and social networks in job search. European Economic Review 46(4–5):870–879

Moser P, Voena A, Waldinger F (2014) German Jewish Émigrés and US invention. Am Econ Rev 104(10):3222–3255

Ortagus JC (2016) Pursuing prestige in higher education: stratification, status, and the influence of college ranking. College Univ 91(2):10–19

Pan Z, Yaobin L, Wang B, Chau PYK (2017) Who do you think you are? Common and differential effects of social self-identity on social media usage. J Manag Inf Syst 34(1):71–101

Papacharissi Z (2011) A networked self: identity, community, and culture on social network sites. Routledge, London

Pekkala KS, Kerr WR (2020) Immigrant networking and collaboration: survey evidence from CIC. In: Ina G, Shulamit K, Megan M (eds) The roles of immigrants and foreign students in US science, innovation, and entrepreneurship. University of Chicago Press, Chicago

Polavieja JG (2015) Capturing culture: a new method to estimate exogenous cultural effects using migrant populations. Am Sociol Rev 80(1):166–191

Qiu JL (2006) The changing web of Chinese nationalism. Global Media Commun 2(1):125–128

Scellato G, Franzoni C, Stephan P (2015) DMigrant scientists and international networks. Res Policy 44(1):108–120

Şen F (2003) The historical situation of Turkish migrants in Germany. Immigr Minor 22(2–3):208–227

Spence M (2015) Job market signaling. Quart J Econ 87(3):355–374

Sue CA, Telles EE (2007) Assimilation and gender in naming. Am J Sociol 112(5):1383–1415

Unangst L (2018) International alumni affairs and an emerging trans-national public service landscape. J High Educ Policy Manag 40(6):648–660

Wang LL (1991) Roots and changing identity of the Chinese in the United States. Daedalus 120(2):181–206

Watts DJ, Dodds PS, Newman MEJ (2002) Identity and search in social networks. Science 296:5571

Welch A (2019) Global ambitions: internationalization and China’s rise as knowledge hub. Front Educ China 13:513–531

Wildavsky A (1987) Choosing preferences by constructing institutions: a cultural theory of preference formation. Am Pol Sci Rev 81(1):3–21

Xiao H, Weifeng L, Xubin C, Zongming T (2012) The online social networks on knowledge exchange: online social identity, social tie and culture orientation. J Global Inf Technol Manag 15(2):4–24

Xu D (2017) Acculturational homophily. Econ Educ Rev 59:29–42

Yihong G, Ying C, Yuan Z, Yan Z (2005) Self-identity changes and English learning among Chinese undergraduates. World Englishes 24(1):39–51

Zee E (1985) Sound change in syllable final nasal consonants in Chinese. J Chin Linguist 13(2):291–330MathSciNet

Titel: Who joins which network, and why?
verfasst von: Yuxin Zhang
Dafeng Xu
Publikationsdatum: 01.12.2023
Verlag: Springer Vienna
Erschienen in: Social Network Analysis and Mining / Ausgabe 1/2023
Print ISSN: 1869-5450
Elektronische ISSN: 1869-5469
DOI: https://doi.org/10.1007/s13278-023-01138-0

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