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A social network for supporting end users in the composition of services: definition and proof of concept

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Abstract

Nowadays, end users are surrounded by plenty of services that are somehow supporting their daily routines and activities. Involving end users into the process of service creation can allow end users to benefit from a cheaper, faster, and better service provisioning. Even though we can already find tools that face this challenge, they consider end users as isolate individuals. In this paper, we investigate how social networks can be used to improve the composition of services by end users. To do so, we propose a graph-based definition of a social structure, and analyse how social connections can be exploited to both facilitate end users to discover services through browsing these connections, and recommend services to end users during the composition activity. As proof of concept, we implement and evaluate the proposed social network in the context of EUCalipTool, a mobile end-user environment for composing services.

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Article Open access 20 July 2022

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References

  1. Yu J, Sheng QZ, Han J, Wu Y, Liu C (2012) A semantically enhanced service repository for user-centric service discovery and management. Data Knowl Eng 72:202–218

    Article  Google Scholar 

  2. Daniel F, Casati F, Benatallah B, Shan M-C (2009) Hosted universal composition: models, languages and infrastructure in mashart. In: International conference on conceptual modeling. Springer, pp 428–443

  3. Danado J, Paternò F (2014) Puzzle: a mobile application development environment using a jigsaw metaphor. J Vis Lang Comput 25(4):297–315

    Article  Google Scholar 

  4. Aghaee S, Pautasso C (2014) End-user development of mashups with naturalmash. J Vis Lang Comput 25(4):414–432

    Article  Google Scholar 

  5. Valderas P, Torres V, Mansanet I, Pelechano V (2017) A mobile-based solution for supporting end-users in the composition of services. Multimed Tools Appl 76(15):16315–16345

    Article  Google Scholar 

  6. Al-Masri E, Mahmoud QH (2007) Wsce: a crawler engine for large-scale discovery of web services. In: IEEE international conference on web services (ICWS 2007). IEEE, pp 1104–1111

  7. Santanche A, Nath S, Liu J, Priyantha B, Zhao F (2006) Senseweb: browsing the physical world in real time. Demo Abstract, ACM/IEEE IPSN06. Nashville, TN, pp 1–2

  8. Nielsen J (2015) Tops of 2015: digital, media and entertainment. http://www.nielsen.com/us/en/insights/news/2015/tops-of-2015-digital.html, 2015. Accessed Jan 2019

  9. IFTTT, If this then that. https://ifttt.com/, 2015. Accessed Jan 2019

  10. Dlvr.it, Social media auto posting & scheduling tool. https://dlvrit.com/, 2018. Accessed: Jan 2020

  11. Zapier, Connect your apps and automate workflows. https://zapier.com/, 2018. Accessed Jan 2019

  12. Node-RED, Flow-based programming for the internet of things. https://nodered.org/, 2017. Accessed Jan 2019

  13. Maaradji A, Hacid H, Daigremont J, Crespi N (2010) Towards a social network based approach for services composition. In: 2010 IEEE international conference on communications. IEEE, pp 1–5

  14. Soriano J, Lizcano D, Hierro JJ, Reyes M, Schroth C, Janner T (2008) Enhancing user-service interaction through a global user-centric approach to SOA. In: 4th international conference on networking and services (ICNS 2008). IEEE, pp 194–203

  15. Jiang P, Ding K, Leng J (2016) Towards a cyber-physical-social-connected and service-oriented manufacturing paradigm: social manufacturing. Manuf Lett 7:15–21

    Article  Google Scholar 

  16. Tamburri DA, Lago P, Vliet Hv (2013) Service networks for development communities. In: Proceedings of the 2013 international conference on software engineering. IEEE Press, pp 1253–1256

  17. Maamar Z, Wives LK, Badr Y, Elnaffar S (2009) Even web services can socialize: a new service-oriented social networking model. In: 2009 international conference on intelligent networking and collaborative systems. IEEE, pp 24–30

  18. Yu S, Woodard CJ (2008) Innovation in the programmable web: characterizing the mashup ecosystem. In International conference on service-oriented computing. Springer, pp 136–147

  19. Chen W, Paik I, Hung PC (2013) Constructing a global social service network for better quality of web service discovery. IEEE Trans Serv Comput 8(2):284–298

    Article  Google Scholar 

  20. Ren M, Ren L, Jain H (2018) Manufacturing service composition model based on synergy effect: a social network analysis approach. Appl Soft Comput 70:288–300

    Article  Google Scholar 

  21. Kranz M, Roalter L, Michahelles F (2010) Things that twitter: social networks and the internet of things. In: What can the internet of things do for the citizen (CIoT) workshop at the 8th international conference on pervasive computing (Pervasive 2010), pp 1–10

  22. Bleecker J (2006) A manifesto for networked objects—cohabiting with pigeons, ARPHIDS and AIBOS in the internet of things. In: Proceedings of the 13th international conference on human–computer interaction with mobile devices and services, MobileHCI, pp 1–17

  23. Atzori L, Iera A, Morabito G (2011) Siot: giving a social structure to the internet of things. IEEE Commun Lett 15(11):1193–1195

    Article  Google Scholar 

  24. Guinard D, Fischer M, Trifa V (2010) Sharing using social networks in a composable web of things. In: PerCom workshops, pp 702–707

  25. Meissa M, Benharzallah S, Kahloul L (2017) Service composition based on the social relations in the internet of things. In: The 18th international Arab conference on information technology (ACIT’2017)

  26. Wang S, Zhou A, Yang M, Sun L, Hsu C-H, Yang F (2017) Service composition in cyber-physical-social systems. IEEE Transactions on Emerging Topics in Computing. IEEE, pp 1–1. https://doi.org/10.1109/TETC.2017.2675479

  27. Reuter C, Kaufhold M-A, Ludwig T (2017) End-user development and social big data–towards tailorable situation assessment with social media. In: New perspectives in end-user development. Springer, pp 307–332

  28. Massa D, Spano L (2016) Facemashup: an end-user development tool for social network data. Future Internet 8(2):10

    Article  Google Scholar 

  29. Boyd DM, Ellison NB (2007) Social network sites: definition, history, and scholarship. J Comput Mediat Commun 13(1):210–230

    Article  Google Scholar 

  30. Hung PC, Li H, Jeng J-J (2004) Ws-negotiation: an overview of research issues. In: Proceedings of the 37th annual Hawaii international conference on system sciences, 2004. IEEE, p 10

  31. Ding Z, Xiao L, Hu J (2008) Performance analysis of service composition using ordinary differential equations. In 2008 12th IEEE international workshop on future trends of distributed computing systems. IEEE, pp 30–36

  32. Milanovic N, Malek M (2004) Current solutions for web service composition. IEEE Internet Comput 8(6):51–59

    Article  Google Scholar 

  33. Lieberman H, Paternò F, Klann M, Wulf V (2006) End-user development: an emerging paradigm. In: End user development. Springer, pp 1–8

  34. Segal J (2005) Two principles of end-user software engineering research. ACM SIGSOFT Softw Eng Not 30(4):1–5

    Google Scholar 

  35. Workflow.is, Workflow. spend less taps, get more done. https://workflow.is/, 2018. Accessed Jan 2019

  36. Dey AK (2001) Understanding and using context. Pers Ubiquit Comput 5(1):4–7

    Article  MathSciNet  Google Scholar 

  37. Steinbock D (2005) The mobile revolution: the making of mobile services worldwide. Kogan Page Publishers, London

    Google Scholar 

  38. Snoonian D (2003) Smart buildings. IEEE Spectr 40(8):18–23

    Article  Google Scholar 

  39. Milicevic AK, Nanopoulos A, Ivanovic M (2010) Social tagging in recommender systems: a survey of the state-of-the-art and possible extensions. Artif Intell Rev 33(3):187–209

    Article  Google Scholar 

  40. Ermagan V, Krüger IH (2007) A UML2 profile for service modeling. In: International conference on model driven engineering languages and systems. Springer, pp 360–374

  41. Amir R, Zeid A (2004) A UML profile for service oriented architectures. In: Companion to the 19th annual ACM SIGPLAN conference on object-oriented programming systems, languages, and applications. ACM, pp 192–193

  42. Paolucci M, Kawamura T, Payne TR, Sycara K (2002) Semantic matching of web services capabilities. In: The semantic web—ISWC 2002, (Berlin, Heidelberg). Springer, Berlin, pp 333–347

  43. Klusch M, Sycara K (2001) Brokering and matchmaking for coordination of agent societies: a survey. In: Coordination of internet agents. Springer, pp 197–224

  44. Wellman B, Berkowitz SD (1988) Social structures: a network approach. CUP Archive

  45. Ehrig H, Mahr B (2012) Fundamentals of algebraic specification 1: equations and initial semantics, vol 6. Springer, Berlin

    MATH  Google Scholar 

  46. de Lara J, Bardohl R, Ehrig H, Ehrig K, Prange U, Taentzer G (2007) Attributed graph transformation with node type inheritance. Theor Comput Sci 376(3):139–163

    Article  MathSciNet  MATH  Google Scholar 

  47. Valderas P, Torres V, Pelechano V (2019) A graph-based definition of a social network for the composition of services by end-users. Technical report pros-tr-2019-01. tech rep, Universitat Politècnica de València. Accessed Oct 2019

  48. Valderas P, Torres V, Pelechano V (2019) Towards the composition of services by end-users. In: Business & information systems engineering, pp 1–17

  49. Benedek J, Miner T (2002) Measuring desirability: new methods for evaluating desirability in a usability lab setting. Proc Usability Prof Assoc 2003(8–12):57

    Google Scholar 

  50. Smith C (2018) Interesting IFTTT statistics and facts. https://expandedramblings.com/index.php/ifttt-statistics-and-facts/. Accessed Oct 2019

  51. Ryan M (2016). The average twitter user now has 707 followers. https://kickfactory.com/blog/average-twitter-followers-updated-2016/. Accessed Jan 2020

  52. Segal J (2003) The nature of evidence in empirical software engineering. In: 11th annual international workshop on software technology and engineering practice. IEEE, pp 40–47

  53. Burnett M, Cook C, Rothermel G (2004) End-user software engineering. Commun ACM 47(9):53–58

    Article  Google Scholar 

  54. Schuler D, Namioka A (1993) Participatory design: principles and practices. CRC Press, Boca Raton

    Google Scholar 

  55. Fischer G, Giaccardi E, Ye Y, Sutcliffe AG, Mehandjiev N (2004) Meta-design: a manifesto for end-user development. Commun ACM 47(9):33–37

    Article  Google Scholar 

  56. Bouvin NO (1999) Unifying strategies for web augmentation. In: Proceedings of the 10th ACM conference on hypertext and hypermedia: returning to our diverse roots: returning to our diverse roots. Citeseer, pp 91–100

  57. Firmenich D, Firmenich S, Rivero JM, Antonelli L, Rossi G (2018) Crowdmock: an approach for defining and evolving web augmentation requirements. Requir Eng 23(1):33–61

    Article  Google Scholar 

  58. Gil M, Serral E, Valderas P, Pelechano V (2013) Designing for user attention: a method for supporting unobtrusive routine tasks. Sci Comput Program 78(10):1987–2008

    Article  Google Scholar 

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Acknowledgements

This work has been developed with the financial support of the Spanish State Research Agency under the Project TIN2017-84094-R and co-financed with ERDF.

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  1. Universitat Politècnica de València, Valencia, Spain

    Pedro Valderas, Victoria Torres & Vicente Pelechano

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  1. Pedro Valderas
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  2. Victoria Torres
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  3. Vicente Pelechano
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Correspondence to Pedro Valderas.

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Valderas, P., Torres, V. & Pelechano, V. A social network for supporting end users in the composition of services: definition and proof of concept. Computing 102, 1909–1940 (2020). https://doi.org/10.1007/s00607-020-00796-8

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