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Network Data Collected via Web

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Encyclopedia of Social Network Analysis and Mining

Synonyms

Data extraction; Social media mining; Web survey; Web-based questionnaires

Glossary

Web survey:

Self-administered questionnaire via web

Coverage error:

Part of the population that is not accessible to be sampled

Nonresponse error:

Nonresponse errors occur when individuals do not answer to one, some, or all the questions. Nonresponse error can be due to the complete failure to collect information (unit nonresponse) or failing to get answer to one or more questions (item nonresponse)

Online Social Networks (OSNs):

Online website or service that is based on social networks or social relations, also known as social networking websites. Users can share information, interests, activities, find contacts, etc. Examples are Facebook, Twitter, LinkedIn, Flickr, etc.

Network traffic analysis:

Study of the amount and type of information in a certain online network

Ad-hoc applications:

Third-party web-based applications for obtaining online network information

Web crawling:
...

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References

  • Abdesslem F, Parris I, Henderson T (2012) Reliable online social network data collection. Comput Social Netw 183–210

    Google Scholar 

  • Aggarwal CC, Wang H (2011) Text mining in social networks. In: Social Network Data Analytics. Springer, pp 353–378

    Google Scholar 

  • Aggarwal CC, Zhai C (2012) Mining text data. Springer

    Google Scholar 

  • Cambria E, White B (2014) Jumping NLP curves: a review of natural language processing research [Review Article]. IEEE Comput Intell Mag 9(2):48–57

    Article  Google Scholar 

  • Canali C, Colajanni M, Lancellotti R (2011) Data acquisition in social networks: issues and proposals. Proceedings of SOS’11, the International Workshop on Services and Open Sources, (2007)

    Google Scholar 

  • Comley P (2002) Online surveys techniques: current issues and future trends. Interact Mark 4(2):156–169

    Article  Google Scholar 

  • Coromina L, Coenders G (2006) Reliability and validity of egocentered network data collected via web. A meta-analysis of multilevel multitrait multimethod studies. Soc Networks 28(3):209–231

    Article  Google Scholar 

  • Dillman DA (2011) Mail and Internet surveys: the tailored design method – 2007 update with new Internet, visual, and mixed-mode guide. Wiley

    Google Scholar 

  • Dillman DA, Smyth JD, Christian LM (2014) Internet, phone, mail, and mixed-mode surveys: the tailored design method. Wiley

    Google Scholar 

  • Ding C, Chen Y, Fu X (2013) Crowd crawling: towards collaborative data collection for large-scale online social networks. COSN13 First ACM conference on Online social networks, pp 183–188

    Google Scholar 

  • Gjoka M et al. (2010) Walking in Facebook: a case study of unbiased sampling of OSNs. Proceedings of the IEEE International Conference on Computer Communications, San Diego

    Google Scholar 

  • Kaplowitz D, Hadlock TD, Levine R (2004) A comparison of web and mail survey response rates. Am Assoc Public Opin Res 68(1):94–101

    Google Scholar 

  • Kogovsek T, Ferligoj A (2005) Effects on reliability and validity of egocentered network measurements. Soc Networks 27(3):205–229

    Article  Google Scholar 

  • Lee J, Bonk CJ (2016) Social network analysis of peer relationships and online interactions in a blended class using blogs. Internet High Educ 28:35–44

    Article  Google Scholar 

  • Lehnert WG, Ringle MH (2014) Strategies for natural language processing. Psychology Press

    Google Scholar 

  • Lerman K (2007) Social information processing in news aggregation. IEEE Internet Comput 11(6):16–28

    Article  Google Scholar 

  • Leskovec J, Rajaraman A, Ullman JD (2014) Mining of massive datasets. Cambridge University Press

    Google Scholar 

  • Lozar-Manfreda K et al. (2002) Virtual selves and web surveys. Metodološki zvezki 18:187–213

    Google Scholar 

  • Lozar-Manfreda K, Vehovar V, Hlebec V (2004) Collecting ego-centred network data via the web. Metodoloski Zvezki 1(2):295–321

    Google Scholar 

  • Manfreda KL, Batagelj Z, Vehovar V (2002) Design of web survey questionnaires: three basic experiments. J Comput-Mediat Commun 7(3):0

    Article  Google Scholar 

  • Nazir A, Raza S, Chuah C (2008) Unveiling Facebook: a measurement study of social network based applications. Proceedings of the 8th ACM SIGCOMM Conference on Internet Measurement (IMC’08).

    Google Scholar 

  • Pitkow J, Recker M (1994) Results from the first world-wide web user survey. Comput Networks ISDN Syst 27(2):243–254

    Article  Google Scholar 

  • Reja U et al. (2003) Open-ended vs. close-ended questions in web questionnaires. Metodološki zvezki 12:159–177

    Google Scholar 

  • Russell MA (2014) Mining the social web: data mining Facebook, Twitter, LinkedIn, Google+, GitHub, and more. O’Reilly Media, Inc

    Google Scholar 

  • Sauermann H, Roach M (2013) Increasing web survey response rates in innovation research: An experimental study of static and dynamic contact design features. Res Policy 42(1):273–286

    Article  Google Scholar 

  • Schamp-Bjerede T et al. (2015) New perspectives on gathering, vetting and employing Big Data from online social media: an interdisciplinary approach. 36th International Computer Archive of Modern and Medieval English-ICAME Conference

    Google Scholar 

  • Schonlau M et al. (2004) A comparison between responses from a propensity-weighted web survey and an identical RDD survey. Soc Sci Comput Rev 22(1):128–138

    Article  MathSciNet  Google Scholar 

  • Sheehan KB, McMillan SJ (1999) Response variation in e-mail surveys: an exploration. J Advert Res 39(4):45–54

    Google Scholar 

  • Tang J et al. (2008) ArnetMiner: an expertise oriented search system for web community. Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, pp 990–998

    Google Scholar 

  • Tourangeau R, Conrad F, Couper M (2013) The science of web surveys. Oxford University Press

    Google Scholar 

  • Tourangeau R, Yan T (2007) Sensitive questions in surveys. Psychol Bull 133(5):859–883

    Article  Google Scholar 

  • Tubaro P, Casilli AA, Mounier L (2013) Eliciting personal network data in web surveys through participant-generated sociograms. Field Methods 26(2):107–125

    Article  Google Scholar 

  • Vehovar V et al. (2008) Measuring ego-centered social networks on the web: questionnaire design issues. Soc Networks 30(3):213–222

    Article  Google Scholar 

  • Vehovar V et al. (2002) Nonresponse in web surveys. In: Groves RM et al. (eds) Survey nonresponse. Wiley, New York, pp 229–242

    Google Scholar 

  • Wang L et al. (2013) Extracting the core structure of social networks using (α, β)-communities. Internet Math 9(1):58–81

    Article  MathSciNet  Google Scholar 

  • Wasserman S, Faust K (1994) Social network analysis: methods and applications, vol 8. Cambridge University Press

    Google Scholar 

  • Wellman B (2001) Computer networks as social networks. Science 293(5537):2031–2034

    Article  Google Scholar 

  • Wellman B et al. (2001) Does the Internet increase, decrease, or supplement social capital? social networks, participation, and community commitment. Am Behav Sci 45(3):436–455

    Article  Google Scholar 

  • Wu X et al. (2014) Data mining with big data. IEEE Trans Knowl Data Eng 26:97–107

    Article  Google Scholar 

  • Zafarani R, Abbasi MA, Liu H (2014) Social media mining an introduction. Cambridge University Press, p 382

    Google Scholar 

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Correspondence to Lluís Coromina .

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Coromina, L., Hlebec, V., Kogovšek, T., Coenders, G. (2018). Network Data Collected via Web. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-7131-2_397

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