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A trust-based multi-ego social network model to investigate emotion diffusion

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Abstract

In this paper, we propose a computational model: trust-based multi-ego social network to investigate and understand dynamic emotion diffusion through the whole population and the result of this dynamic diffusion. The key advantage of our proposed computational model is that it is able to answer the questions of ‘why’ some individuals are happier than others and ‘what…if’ question (e.g. what happens if we increase social behaviours in a hard period, such as economic crisis) by changing the parameter setting for the model. From the simulation results, we show that, first emotion diffusion and social support help in increasing the happiness for both individual level and the whole society level; secondly, individuals with high happiness factor (high happiness genes) and more friends (hence more social support) tend to be happier.

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References

  • Alberto A, Rafael DT, Robert M (2004) Inequality and happiness: are Europeans and Americans different?. J Public Econ 88:2009–2042

    Article  Google Scholar 

  • Alois S (2004) The role of income aspirations in individual happiness. J Econ Behav Organ 54:89–109

    Article  Google Scholar 

  • Alvin WW (2011) Anthropologist view of social network analysis and data mining. Soc Netw Anal Min 1(1):3–19

    Article  Google Scholar 

  • Andrew JO (1997) Happiness and economic performance. Econ J 107(445):1815–1831

    Article  Google Scholar 

  • Andrew S, Ana VDR (2009) Happiness, health, and social networks. Psychosocial determinants of health may transfer through social connections. Br Med J 338:1–3

    Article  Google Scholar 

  • Bott E (1971) Family and social networks. Tavistock Publications, London

    Google Scholar 

  • Brickman P, Coates D, Janoff-Bulman R (1978) Lottery winners and accident victims: Is happiness relative? J Pers Soc Psychol 36:917–927

    Article  Google Scholar 

  • Bruno SF, Alois S (2000) Happiness economy and institutions. Econ J 110:918–938

    Article  Google Scholar 

  • Bruno SF, Alois S (2002) What can economists learn from happiness research? J Econ Lit 40(2):402–435

    Article  Google Scholar 

  • Bruno SF, Alois S (2005) Happiness research: state and prospects. Rev Soc Econ 63(2):207–228

    Article  Google Scholar 

  • Carol G (2005) The economics of happiness insights on globalization from a novel approach. World Econ 6(3):41–55

    Google Scholar 

  • Carol G, Stefano P (2001) Happiness markets, and democracy: Latin America in comparative perspective. J Happiness Stud 2:237–268

    Article  Google Scholar 

  • Chan YK, Rance PLL (2006) Network size, social support and happiness in later life: a comparative study of Beijing and Hong Kong. J Happiness Stud 7:87–112

    Article  Google Scholar 

  • Christopher CT (1976) Social networks, support, and coping: an exploratory study. Fam Process 15:407–417

    Article  Google Scholar 

  • Clark A, Oswald A (1994) Unhappiness and unemployment. Econ J 104(424):648–659

    Article  Google Scholar 

  • Clark AE, Oswald AJ (1996) Satisfaction and comparison income. J Public Econ 61(3):359–381

    Article  Google Scholar 

  • Csikszentmihaly MF (1991) The psychology of optimal experience. Harper Collins, New York

  • Dunbar RIM (1996) Grooming, gossip and the evolution of language. Faber & Faber, London

    Google Scholar 

  • Dunbar RIM (1998) The social brain hypothesis. Evol Anthropol 6:178–190

    Article  Google Scholar 

  • Easterlin RA (1974) Nations and households in economic growth: essays in honour of Moses Abramowitz. In: David PA, Reder MW (eds) Does economic growth improve the human lot? Some empirical evidence. Academic Press, New York

    Google Scholar 

  • Fowler J, Christakis NA (2008) Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study. Br Med J 337(a2338):1–9

    Google Scholar 

  • Frédéric G, Paolo S, Faraz Z, Fabien J, Romain B (2011) Communities and hierarchical structures in dynamic social networks: analysis and visualization. Soc Netw Anal Min. http://www.springerlink.com/content/1869-5450

  • Gardner J, Oswald AJ (2007) Money and mental wellbeing: a longitudinal study of medium-sized lottery wins. J Health Econ 26(1):49–60

    Article  Google Scholar 

  • Gervais M, Wilson DS (2005) The evolution and functions of laughter and humor: a synthetic approach. Q Rev Biol 80(4):395–430

    Article  Google Scholar 

  • Graham C, Felton A (2006) Inequality and happiness: insights from Latin America. J Econ Inequality 4(1):107–122

    Article  Google Scholar 

  • Heinz W (2006) Environment and happiness: valuation of air pollution using life satisfaction data. Ecol Econ 58:801–813

    Article  Google Scholar 

  • Hill RA, Dunbar RIM (2003) Social network size in humans. Hum Nat 14:53–72

    Article  Google Scholar 

  • Ilham E, Armelle B, Anne B (2011) Densifying a behavioral recommender system by social networks link prediction methods. Soc Netw Anal Min. http://www.springerlink.com/content/1869-5450

  • John S (2011) Social network analysis: developments advances, and prospects. Soc Netw Anal Min 1(1):21–26

    Article  Google Scholar 

  • Kahneman D, Krueger AB, Schkade D, Schwarz N, Stone AA (2006) Would you be happier if you were richer? A focusing illusion. Science 312(5782):1908–1910

    Google Scholar 

  • Lisa FB (1984) Assessing the physical health effects of social networks and social support. Annu Rev Public Health 5:413–432

    Article  Google Scholar 

  • Mitchell JC (ed) (1969) The concept and use of social networks

  • Muhaimenul A, Mohamad N, Keivan K, Radwan T and Mick R et al (2011) Promoting where, when and what? An analysis of web logs by integrating data mining and social network techniques to guide ecommerce business promotions. Soc Netwrk Anal Min. http://www.springerlink.com/content/1869-5450

  • Ng YK (1978) Economic growth and social welfare: the need for a complete study of happiness. Kyklos 31:575–587

    Article  Google Scholar 

  • Peggy S (1998) Crossnational differences in happiness: economic and cultural factors explored. Soc Ind Res 43:3–26

    Article  Google Scholar 

  • Rafael DT, Robert JM (2006) Some uses of happiness data in economics. J Econ Perspect 20(1):25–46

    Article  Google Scholar 

  • Rafael DT, Robert JM, Andrew JO (2001) Preferences over inflation and unemployment: evidence from surveys of happiness. Am Econ Rev 91(1):335–341

    Article  Google Scholar 

  • Rafael DT, Robert JM, Andrew JO (2003) The macroeconomics of happiness. Rev Econ Stat 85(4):809–827

    Article  Google Scholar 

  • Richard AE (1995) Will raising the incomes of all increase the happiness of all? J Econ Behav Organ 27:35–47

    Article  MathSciNet  Google Scholar 

  • Richard AE (2001) Income and happiness: towards a unified theory. Econ J 111:465–484

    Article  Google Scholar 

  • Richard AE (2006a) Life cycle happiness and its sources Intersections of psychology economics, and demography. J Econ Psychol 27:463–482

    Article  Google Scholar 

  • Richard L (2006b) Happiness and public policy: a challenge to the profession. Econ J 116:24–33

    Article  Google Scholar 

  • Subramanian SV, Kim D, Kawachi I (2005) Covariation in the socioeconomic determinants of self rated health and happiness: a multivariate multilevel analysis of individuals and communities in the USA. J Epidemiol Commun Health 59(8):664–669

    Article  Google Scholar 

  • Ubel PA, Loewenstein G, Jepson C (2003a) Whose quality of life? A commentary exploring discrepancies between health state evaluations of patients and the general public. Qual Life Res 12(6):599–607

    Article  Google Scholar 

  • Ubel PA, Loewenstein G, Jepson C (2003b) Whose quality of life? A commentary exploring discrepancies between health state evaluations of patients and the general public. Q Life Res 12:599–607

    Article  Google Scholar 

  • Ulf-G G, Magnus J (2001) The relationship between happiness, health, and socioeconomic factors: results based on Swedish microdata. J Socio-Econ 30:553–557

    Google Scholar 

  • Van P, Bernard MS, Kapteyn A (1973) Further evidence on the individual welfare function of income: an empirical investigation in the Netherlands. Eur Econ Rev 4(1):33–62

    Article  Google Scholar 

  • Watts DJ, Strogatz SH (1998) Collective dynamics of ‘small-world’ networks. Nature 393(6684):409–410

    Article  Google Scholar 

  • William J (1902) The varieties of religious experience. The Religion of Healthy Mindedness, Lectures IV and V

    Google Scholar 

  • Wilson TD, Meyers J, Gilbert DT (2003) How happy was I anyway? A retrospective impact bias. Soc Cogn 21:407–432

    Article  Google Scholar 

  • Zhou W, Sornette D, Hil RA, Dunbar RIM (2005) Discrete hierarchical organization of social group sizes. Proc R Soc Lond 272B:439–444

    Google Scholar 

  • Zivin K, Christakis NA (2007) The emotional toll of spousal morbidity and mortality. Am J Geriatr Psychiatry 15(9):772–779

    Article  Google Scholar 

Download references

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Authors and Affiliations

  1. Manchester Business School, University of Manchester, Oxford Road, Manchester, M15 6PB, UK

    Di Wang & Alistair Sutcliffe

  2. School of Computer Science, University of Manchester, Oxford Road, Manchester, M13 9PL, UK

    Xiao-Jun Zeng

Authors
  1. Di Wang
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  2. Alistair Sutcliffe
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  3. Xiao-Jun Zeng
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Correspondence to Di Wang.

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Wang, D., Sutcliffe, A. & Zeng, XJ. A trust-based multi-ego social network model to investigate emotion diffusion. Soc. Netw. Anal. Min. 1, 287–299 (2011). https://doi.org/10.1007/s13278-011-0019-7

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  • DOI: https://doi.org/10.1007/s13278-011-0019-7

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