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ÇEVRİMİÇİ SOSYAL AĞLARDA ROL KEŞFİ

Year 2017, Volume: 8 Issue: 43, 27 - 51, 25.05.2022

Abstract

Çevrimiçi sosyal ağların kullanımı, son yıllarda önemli bir gelişme göstermiştir. Twitter, Facebook, LinkedIn ve Instagram gibi sosyal ağ sitelerine internet ve web 2.0 teknolojileri üzerinden erişmek daha uygun hale gelmiştir. Böylelikle insanlar, farklı birçok konuya ilişkin görüşlerini, duygularını diğer kullanıcılarla bu platformlar üzerinden giderek daha yaygın bir şekilde paylaşır olmuştur. Bu paylaşımlar, milyonlarca insanın birbirlerine sosyal ağlar vasıtası ile bağlandığı platformlarda çok büyük miktarda veri oluşturulduğu anlamına gelmektedir. Bununla birlikte teknolojik imkânlarla beraber ortaya çıkan hesaplama paradigmalarının yüksek hızda ve karmaşık bir şekilde gelişimi, oluşan bu verinin sosyal ağ analizi yöntemleri ile analiz edilip değerli bilgiler çıkarılmasına imkân vermektedir. Çevrimiçi sosyal ağlarda rol keşfi önemli ve günümüzde çok çalışılmaya başlanan sosyal ağ analizi problemlerinden birisidir. Bu çalışmada çevrimiçi sosyal ağlarda fikir liderlerini bularak şirketler için pazarlama önerileri sunma, birbiri ile ilişkili kullanıcıları bularak sosyal ağ ortamında toplumun fikirlerini takip edebilme, arkadaş gruplarını bulabilme, kullanıcıların ilgilerine ve alışkanlıklarına göre onları gruplama ve arkadaş tavsiye sistemlerini daha da geliştirme gibi konularda kullanılabilecek rol keşfi açıklanmıştır

References

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  • Alp, Z. Z. ve Öğüdücü, Ş. G. 2018 . “Identifying topical influencers on twitter based on user behavior and network topology”, Knowledge- Based Systems, 141, 211-221.
  • Aslan, S.; Kaya, M. 2017 . In Link prediction methods in bipartite networks, 2017 International Conference on Computer Science and Engineering UBMK , 5-8 Oct. 2017,; pp 1095-1099
  • Barnes, J.A. 1954 . Class and committees in a norwegian island parish. Human Relations, 7, 39-58.
  • Biddle B. J. 1986 . Recent development in role theory. Annual Review of Sociology, 12, 67–92.
  • Budalakoti, S. & Bekkerman, R. 2012 . Bimodal invitation-navigation fair bets model for authority identification in a social network. In Proceedings of the 21st international conference on World Wide Web pp. 709-718 . ACM.
  • Bouguessa, M., & Romdhane, L. B. 2015 . Identifying authorities in online communities. ACM Transactions on Intelligent Systems and Technology TIST , 6 3 , 30.
  • Bodendorf, F., & Kaiser, C. 2010 . Detecting opinion leaders and trends in online communities. In Digital Society, 2010. ICDS'10. Fourth International Conference on pp. 124-129 . IEEE
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  • Cha, M., Haddadi, H., Benevenuto, F., & Gummadi, P. K. 2010 . Measuring user influence in twitter: The million follower fallacy. Icwsm, 10 10- 17 , 30.
  • Chiregi, M., & Navimipour, N. J. 2016 . A new method for trust and reputation evaluation in the cloud environments using the recommendations of opinion leaders' entities and removing the effect of troll entities. Computers in Human Behavior, 60, 280-292.
  • Chu, V. W., Wong, R. K., & Chi, C. H. 2012 . Over-fitting and error detection for online role mining. International Journal of Web Services Research IJWSR , 9 4 , 1-23.
  • Cho, Y., Hwang, J., & Lee, D. 2012 . Identification of effective opinion leaders in the diffusion of technological innovation: A social network approach. Technological Forecasting and Social Change, 79 1 , 97-106.
  • Deng, X., Li, Y., & Lin, S. 2013 . Parallel Micro Blog Crawler Construction for Effective Opinion Leader Approximation. AASRI Procedia, 5, 170- 176.
  • Freeman, L. C. 1978 . Centrality in social networks conceptual clarification. Social networks, 1 3 , 215-239.
  • Ghosh, S., Sharma, N., Benevenuto, F., Ganguly, N., & Gummadi, K. 2012 . Cognos: crowdsourcing search for topic experts in microblogs. In Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval pp. 575-590 . ACM.
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  • Guldbrandsson, K., Nordvik, M. K., & Bremberg, S. 2012 . Identification of potential opinion leaders in child health promotion in Sweden using network analysis. BMC research notes, 5 1 , 424.
  • Hon, L. C.,& Grunig, J. E., 1999. “Guidelines for measuring relationships in public relations”, Gainesville, FL: The Institute for Public Relations, Commission on PR Measurement and Evaluation
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  • Johnson, T. J., Barbara K. Kaye, Shannon L. Bichard, and W. J. Wong., 2007. “Every Blog Has Its Day: Politically-Interested Internet Users’ Perceptions of Blog Credibility”, Journal Computer Mediated Communication 13 1 , 100 122
  • Joshi, A., T. Finin, A. Java, A. Kale and P. Kolari, 2007 . “Web 2.0 Mining: Analyzing Social Media", Proceedings of the NSF Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation
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  • Kardara, M., G. Papadakis, T. Papaoikonomou, K. Tserpes and T. Varvarigou, 2012 . “Influence Patterns in Topic Communities of Social Media", Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics, WIMS '12, pp. 10:1, 10:12, ACM, New York, NY, USA
  • Katz, E. and P. F. Lazarsfeld, 1995. “Personal Influence: The Part Played by People in the Flow of Mass Communications”, Free Press, Glencoe, IL
  • Kaur, R. and Singh, S. 2017 . A comparative analysis of structural graph metrics to identify anomalies in online social networks. Computers & Electrical Engineering, 57, 294-310.
  • Kwak, H., Lee, C., Park, H., & Moon, S. 2010 . What is Twitter, a social network or a news media?. In Proceedings of the 19th international conference on World wide web pp. 591-600 . ACM.
  • Kiziloluk, S.; Ozer, A.B. 2017 . Web pages classification with parliamentary optimization algorithm. International Journal of Software Engineering and Knowledge Engineering, 27, 499-513.
  • Knoke, D.; Yang, S. Social network analysis. Sage: 2008; Vol. 154
  • Li, D., Zhang, Y., Chen, X., Cao, L., & Zhou, C. 2014 . Detecting hot topics in sina weibo based on opinion leaders. In 2014 International Conference on Computer, Communications and Information Technology CCIT 2014 . Atlantis Press.
  • Li, F., & Du, T. C. 2011 . Who is talking? An ontology-based opinion leader identification framework for word-of-mouth marketing in online social blogs. Decision Support Systems, 51 1 , 190-197.
  • Li, F.,& Du, T. C. 2017 . Maximizing micro-blog influence in online promotion. Expert Systems with Applications, 70, 52-66.
  • Lin, H. C., Bruning, P. F., & Swarna, H. 2018 . Using online opinion leaders to promote the hedonic and utilitarian value of products and services. Business Horizons
  • Li, Y., Ma, S., Zhang, Y., & Huang, R. 2013 . An improved mix framework for opinion leader identification in online learning communities. Knowledge-Based Systems, 43, 43-51.
  • Mathioudakis, M., & Koudas, N. 2009 . Efficient identification of starters and followers in social media. In Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology pp. 708-719 . ACM.
  • Marwick, A. 2011 . “To See and Be Seen: Celebrity Practice on Twitter”, Convergence: The International Journal of Research- New Media Technologies
  • Mcguire, H.A.; Markus, M.J.; Kionga-Kamau, P.M.; Smith, B.N. 2013 . Social network analysis. Google Patents
  • Merwe, R. V. D. and G. V. Heerden, 2009 . “Finding and Utilizing Opinion Leaders: Social Networks and the Power of Relationships", South African Journal of Business Management, Vol. 40, No. 3, 65-77
  • Miao, Q., Meng, Y., & Sun, J. 2016 . Identifying the most influential topic- sensitive opinion leaders in online review communities. In Cloud Computing and Big Data Analysis ICCCBDA , 2016 IEEE International Conference on pp. 330-335 . IEEE.
  • Parau, P., Lemnaru, C., Dinsoreanu, M., & Potolea, R. 2017 . Opinion Leader Detection. In Sentiment Analysis in Social Networks pp. 157- 170 .
  • Reppel, A. E., Szmigin, I., & Gruber, T. 2006 . The iPod phenomenon: identifying a market leader's secrets through qualitative marketing research. Journal of Product & Brand Management, 15 4 , 239-249.
  • Riquelme, F., & González-Cantergiani, P. 2016 . Measuring user influence on Twitter: A survey. Information Processing & Management, 52 5 , 949-975.
  • Risselada, H., Verhoef, P. C., & Bijmolt, T. H. 2016 . Indicators of opinion leadership in customer networks: self-reports and degree centrality. Marketing Letters, 27 3 , 449-460.
  • Romero, D. M., Galuba, W., Asur, S., & Huberman, B. A. 2011 . Influence and passivity in social media. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases pp. 18-33 . Springer, Berlin, Heidelberg.
  • Ryan A, R., Nesreen K, A., 2015 . Role Discovery in Networks, IEEE Transactions on Knowledge and Data Engineering, 27, 4,.
  • Sarasohn-Kahn, J. 2008 . The wisdom of patients: Health care meets online social media.
  • Shachtman, N. 2006 . Big Brother 101: Could your social networks brand you an enemy of the state. Popular Science, 269 2 , 70.
  • Schneider, F.; Feldmann, A.; Krishnamurthy, B.; Willinger, W. 2009 . Understanding online social network usage from a network perspective. In Proceedings of the 9th ACM SIGCOMM conference on Internet measurement, ACM: Chicago, Illinois, USA, pp. 35-48.
  • Serrat, O. 2017 . Social network analysis. In Knowledge solutions: Tools, methods, and approaches to drive organizational performance, Serrat, O., Ed. Springer Singapore: Singapore, pp. 39-43
  • Shafiq, M. Z., Ilyas, M. U., Liu, A. X., & Radha, H. 2013 . Identifying leaders and followers in online social networks. IEEE Journal on Selected Areas in Communications, 31 9 , 618-628.
  • Song, K., Wang, D., Feng, S., & Yu, G. 2011 . Detecting opinion leader dynamically in chinese news comments. In International Conference on Web-Age Information Management pp. 197-209 . Springer, Berlin, Heidelberg.
  • Song, K., Wang, D., Feng, S., Wang, D., & Yu, G. 2012 . Detecting positive opinion leader group from forum. In International Conference on Web- Age Information Management pp. 95-101 . Springer, Berlin, Heidelberg.
  • Song, S. Y., Cho, E., & Kim, Y. K. 2017 . Personality factors and flow affecting opinion leadership in social media. Personality and Individual Differences, 114, 16-23.
  • Song, X., Chi, Y., Hino, K., & Tseng, B. 2007 . Identifying opinion leaders in the blogosphere. In Proceedings of the sixteenth ACM conference on Conference on information and knowledge management pp. 971-974 . ACM.
  • Stahl, F., Gaber, M. M., & Adedoyin-Olowe, M. 2014 . A survey of data mining techniques for social media analysis. Journal of Data Mining & Digital Humanities, 2014.
  • Venkatraman, M. P. 1989 . Opinion leaders, adopters, and communicative adopters: A role analysis. Psychology & Marketing, 6 1 , 51-68.
  • Wasserman, S.; Faust, K. Social network analysis: Methods and applications. Cambridge university press: 1994; Vol. 8.
  • Weng, J., Lim, E. P., Jiang, J., & He, Q. 2010 . Twitterrank: finding topic- sensitive influential twitterers. In Proceedings of the third ACM international conference on Web search and data mining pp. 261- 270 . ACM.
  • Winter, S., & Neubaum, G. 2016 . Examining characteristics of opinion leaders in social media: A motivational approach. Social Media+ Society, 2 3 , 2056305116665858.
  • Wu, Y. and F. Ren 2011 . Learning Sentimental Influence in Twitter, International Conference on Future Computer Sciences and Application, pp. 119-122
  • Zachary, W.W. An information flow model for conflict and fission in small groups. Journal of Anthropological Research 1977, 33, 452-473
  • Zatari, T. Data mining in social media. Int. J. Sci. Eng. Res 2015, 6.
  • Zhai, Z. and Xu, H. and Jia, P., 2009, “Identifying Opinion Leaders in BBS”, Web Intelligence and Intelligent Agent Technology
  • Zhao, Y., Kou, G., Peng, Y., & Chen, Y. 2018 . Understanding influence power of opinion leaders in e-commerce networks: An opinion dynamics theory perspective. Information Sciences, 426, 131-147.
  • Zhou, X., Wu, B., & Jin, Q. 2017 . User role identification based on social behavior and networking analysis for information dissemination. Future Generation Computer Systems.
  • Zhu, H., Cao, H., Xiong, H., Chen, E., & Tian, J. 2011 . Towards expert finding by leveraging relevant categories in authority ranking. In Proceedings of the 20th ACM international conference on Information and knowledge management pp. 2221-2224 . ACM.
  • The Top 20 Valuable Facebook Statistics – Updated April 2018, Avaliable online: https://zephoria.com/top-15-valuable-facebook-statistics/ Erişim tarihi: 17 Mayıs 2018 .
  • Most popular social networks worldwide as of april 2018. 16 May , Available online:https://www.statista.com/statistics/272014/global- social-networks-ranked-by-number-of-users/. Erişim tarihi: 16 Mayıs 2018
Year 2017, Volume: 8 Issue: 43, 27 - 51, 25.05.2022

Abstract

References

  • Aghdam, S. M., & Navimipour, N. J. 2016 . Opinion leaders selection in the social networks based on trust relationships propagation. Karbala International Journal of Modern Science, 2 2 , 88-97.
  • Al-garadi, M.A., Varathan, K.D., Ravana, S.D. 2016 . Cybercrime detection in online communications: The experimental case of cyberbullying detection in the twitter network. Computers in Human Behavior, 63, 433-443.
  • Alp, Z. Z. ve Öğüdücü, Ş. G. 2018 . “Identifying topical influencers on twitter based on user behavior and network topology”, Knowledge- Based Systems, 141, 211-221.
  • Aslan, S.; Kaya, M. 2017 . In Link prediction methods in bipartite networks, 2017 International Conference on Computer Science and Engineering UBMK , 5-8 Oct. 2017,; pp 1095-1099
  • Barnes, J.A. 1954 . Class and committees in a norwegian island parish. Human Relations, 7, 39-58.
  • Biddle B. J. 1986 . Recent development in role theory. Annual Review of Sociology, 12, 67–92.
  • Budalakoti, S. & Bekkerman, R. 2012 . Bimodal invitation-navigation fair bets model for authority identification in a social network. In Proceedings of the 21st international conference on World Wide Web pp. 709-718 . ACM.
  • Bouguessa, M., & Romdhane, L. B. 2015 . Identifying authorities in online communities. ACM Transactions on Intelligent Systems and Technology TIST , 6 3 , 30.
  • Bodendorf, F., & Kaiser, C. 2010 . Detecting opinion leaders and trends in online communities. In Digital Society, 2010. ICDS'10. Fourth International Conference on pp. 124-129 . IEEE
  • Can, U.; Alatas, B. Big social network data and sustainable economic development. Sustainability 2017, 9.
  • Cha, M., Haddadi, H., Benevenuto, F., & Gummadi, P. K. 2010 . Measuring user influence in twitter: The million follower fallacy. Icwsm, 10 10- 17 , 30.
  • Chiregi, M., & Navimipour, N. J. 2016 . A new method for trust and reputation evaluation in the cloud environments using the recommendations of opinion leaders' entities and removing the effect of troll entities. Computers in Human Behavior, 60, 280-292.
  • Chu, V. W., Wong, R. K., & Chi, C. H. 2012 . Over-fitting and error detection for online role mining. International Journal of Web Services Research IJWSR , 9 4 , 1-23.
  • Cho, Y., Hwang, J., & Lee, D. 2012 . Identification of effective opinion leaders in the diffusion of technological innovation: A social network approach. Technological Forecasting and Social Change, 79 1 , 97-106.
  • Deng, X., Li, Y., & Lin, S. 2013 . Parallel Micro Blog Crawler Construction for Effective Opinion Leader Approximation. AASRI Procedia, 5, 170- 176.
  • Freeman, L. C. 1978 . Centrality in social networks conceptual clarification. Social networks, 1 3 , 215-239.
  • Ghosh, S., Sharma, N., Benevenuto, F., Ganguly, N., & Gummadi, K. 2012 . Cognos: crowdsourcing search for topic experts in microblogs. In Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval pp. 575-590 . ACM.
  • Ghosh, S., Sharma, N., Benevenuto, F., Ganguly, N., & Gummadi, K. 2012, August . Cognos: crowdsourcing search for topic experts in microblogs. In Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval pp. 575-590 . ACM.
  • Guldbrandsson, K., Nordvik, M. K., & Bremberg, S. 2012 . Identification of potential opinion leaders in child health promotion in Sweden using network analysis. BMC research notes, 5 1 , 424.
  • Hon, L. C.,& Grunig, J. E., 1999. “Guidelines for measuring relationships in public relations”, Gainesville, FL: The Institute for Public Relations, Commission on PR Measurement and Evaluation
  • Huang, B., Yu, G., & Karimi, H. R. 2014 . The finding and dynamic detection of opinion leaders in social network. Mathematical Problems in Engineering, 2014.
  • Johnson, T. J., Barbara K. Kaye, Shannon L. Bichard, and W. J. Wong., 2007. “Every Blog Has Its Day: Politically-Interested Internet Users’ Perceptions of Blog Credibility”, Journal Computer Mediated Communication 13 1 , 100 122
  • Joshi, A., T. Finin, A. Java, A. Kale and P. Kolari, 2007 . “Web 2.0 Mining: Analyzing Social Media", Proceedings of the NSF Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation
  • Kao, W. C., Liu, D. R., & Wang, S. W. 2010 . Expert finding in question- answering websites: a novel hybrid approach. In Proceedings of the 2010 ACM Symposium on Applied Computing pp. 867-871 . ACM.
  • Kardara, M., G. Papadakis, T. Papaoikonomou, K. Tserpes and T. Varvarigou, 2012 . “Influence Patterns in Topic Communities of Social Media", Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics, WIMS '12, pp. 10:1, 10:12, ACM, New York, NY, USA
  • Katz, E. and P. F. Lazarsfeld, 1995. “Personal Influence: The Part Played by People in the Flow of Mass Communications”, Free Press, Glencoe, IL
  • Kaur, R. and Singh, S. 2017 . A comparative analysis of structural graph metrics to identify anomalies in online social networks. Computers & Electrical Engineering, 57, 294-310.
  • Kwak, H., Lee, C., Park, H., & Moon, S. 2010 . What is Twitter, a social network or a news media?. In Proceedings of the 19th international conference on World wide web pp. 591-600 . ACM.
  • Kiziloluk, S.; Ozer, A.B. 2017 . Web pages classification with parliamentary optimization algorithm. International Journal of Software Engineering and Knowledge Engineering, 27, 499-513.
  • Knoke, D.; Yang, S. Social network analysis. Sage: 2008; Vol. 154
  • Li, D., Zhang, Y., Chen, X., Cao, L., & Zhou, C. 2014 . Detecting hot topics in sina weibo based on opinion leaders. In 2014 International Conference on Computer, Communications and Information Technology CCIT 2014 . Atlantis Press.
  • Li, F., & Du, T. C. 2011 . Who is talking? An ontology-based opinion leader identification framework for word-of-mouth marketing in online social blogs. Decision Support Systems, 51 1 , 190-197.
  • Li, F.,& Du, T. C. 2017 . Maximizing micro-blog influence in online promotion. Expert Systems with Applications, 70, 52-66.
  • Lin, H. C., Bruning, P. F., & Swarna, H. 2018 . Using online opinion leaders to promote the hedonic and utilitarian value of products and services. Business Horizons
  • Li, Y., Ma, S., Zhang, Y., & Huang, R. 2013 . An improved mix framework for opinion leader identification in online learning communities. Knowledge-Based Systems, 43, 43-51.
  • Mathioudakis, M., & Koudas, N. 2009 . Efficient identification of starters and followers in social media. In Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology pp. 708-719 . ACM.
  • Marwick, A. 2011 . “To See and Be Seen: Celebrity Practice on Twitter”, Convergence: The International Journal of Research- New Media Technologies
  • Mcguire, H.A.; Markus, M.J.; Kionga-Kamau, P.M.; Smith, B.N. 2013 . Social network analysis. Google Patents
  • Merwe, R. V. D. and G. V. Heerden, 2009 . “Finding and Utilizing Opinion Leaders: Social Networks and the Power of Relationships", South African Journal of Business Management, Vol. 40, No. 3, 65-77
  • Miao, Q., Meng, Y., & Sun, J. 2016 . Identifying the most influential topic- sensitive opinion leaders in online review communities. In Cloud Computing and Big Data Analysis ICCCBDA , 2016 IEEE International Conference on pp. 330-335 . IEEE.
  • Parau, P., Lemnaru, C., Dinsoreanu, M., & Potolea, R. 2017 . Opinion Leader Detection. In Sentiment Analysis in Social Networks pp. 157- 170 .
  • Reppel, A. E., Szmigin, I., & Gruber, T. 2006 . The iPod phenomenon: identifying a market leader's secrets through qualitative marketing research. Journal of Product & Brand Management, 15 4 , 239-249.
  • Riquelme, F., & González-Cantergiani, P. 2016 . Measuring user influence on Twitter: A survey. Information Processing & Management, 52 5 , 949-975.
  • Risselada, H., Verhoef, P. C., & Bijmolt, T. H. 2016 . Indicators of opinion leadership in customer networks: self-reports and degree centrality. Marketing Letters, 27 3 , 449-460.
  • Romero, D. M., Galuba, W., Asur, S., & Huberman, B. A. 2011 . Influence and passivity in social media. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases pp. 18-33 . Springer, Berlin, Heidelberg.
  • Ryan A, R., Nesreen K, A., 2015 . Role Discovery in Networks, IEEE Transactions on Knowledge and Data Engineering, 27, 4,.
  • Sarasohn-Kahn, J. 2008 . The wisdom of patients: Health care meets online social media.
  • Shachtman, N. 2006 . Big Brother 101: Could your social networks brand you an enemy of the state. Popular Science, 269 2 , 70.
  • Schneider, F.; Feldmann, A.; Krishnamurthy, B.; Willinger, W. 2009 . Understanding online social network usage from a network perspective. In Proceedings of the 9th ACM SIGCOMM conference on Internet measurement, ACM: Chicago, Illinois, USA, pp. 35-48.
  • Serrat, O. 2017 . Social network analysis. In Knowledge solutions: Tools, methods, and approaches to drive organizational performance, Serrat, O., Ed. Springer Singapore: Singapore, pp. 39-43
  • Shafiq, M. Z., Ilyas, M. U., Liu, A. X., & Radha, H. 2013 . Identifying leaders and followers in online social networks. IEEE Journal on Selected Areas in Communications, 31 9 , 618-628.
  • Song, K., Wang, D., Feng, S., & Yu, G. 2011 . Detecting opinion leader dynamically in chinese news comments. In International Conference on Web-Age Information Management pp. 197-209 . Springer, Berlin, Heidelberg.
  • Song, K., Wang, D., Feng, S., Wang, D., & Yu, G. 2012 . Detecting positive opinion leader group from forum. In International Conference on Web- Age Information Management pp. 95-101 . Springer, Berlin, Heidelberg.
  • Song, S. Y., Cho, E., & Kim, Y. K. 2017 . Personality factors and flow affecting opinion leadership in social media. Personality and Individual Differences, 114, 16-23.
  • Song, X., Chi, Y., Hino, K., & Tseng, B. 2007 . Identifying opinion leaders in the blogosphere. In Proceedings of the sixteenth ACM conference on Conference on information and knowledge management pp. 971-974 . ACM.
  • Stahl, F., Gaber, M. M., & Adedoyin-Olowe, M. 2014 . A survey of data mining techniques for social media analysis. Journal of Data Mining & Digital Humanities, 2014.
  • Venkatraman, M. P. 1989 . Opinion leaders, adopters, and communicative adopters: A role analysis. Psychology & Marketing, 6 1 , 51-68.
  • Wasserman, S.; Faust, K. Social network analysis: Methods and applications. Cambridge university press: 1994; Vol. 8.
  • Weng, J., Lim, E. P., Jiang, J., & He, Q. 2010 . Twitterrank: finding topic- sensitive influential twitterers. In Proceedings of the third ACM international conference on Web search and data mining pp. 261- 270 . ACM.
  • Winter, S., & Neubaum, G. 2016 . Examining characteristics of opinion leaders in social media: A motivational approach. Social Media+ Society, 2 3 , 2056305116665858.
  • Wu, Y. and F. Ren 2011 . Learning Sentimental Influence in Twitter, International Conference on Future Computer Sciences and Application, pp. 119-122
  • Zachary, W.W. An information flow model for conflict and fission in small groups. Journal of Anthropological Research 1977, 33, 452-473
  • Zatari, T. Data mining in social media. Int. J. Sci. Eng. Res 2015, 6.
  • Zhai, Z. and Xu, H. and Jia, P., 2009, “Identifying Opinion Leaders in BBS”, Web Intelligence and Intelligent Agent Technology
  • Zhao, Y., Kou, G., Peng, Y., & Chen, Y. 2018 . Understanding influence power of opinion leaders in e-commerce networks: An opinion dynamics theory perspective. Information Sciences, 426, 131-147.
  • Zhou, X., Wu, B., & Jin, Q. 2017 . User role identification based on social behavior and networking analysis for information dissemination. Future Generation Computer Systems.
  • Zhu, H., Cao, H., Xiong, H., Chen, E., & Tian, J. 2011 . Towards expert finding by leveraging relevant categories in authority ranking. In Proceedings of the 20th ACM international conference on Information and knowledge management pp. 2221-2224 . ACM.
  • The Top 20 Valuable Facebook Statistics – Updated April 2018, Avaliable online: https://zephoria.com/top-15-valuable-facebook-statistics/ Erişim tarihi: 17 Mayıs 2018 .
  • Most popular social networks worldwide as of april 2018. 16 May , Available online:https://www.statista.com/statistics/272014/global- social-networks-ranked-by-number-of-users/. Erişim tarihi: 16 Mayıs 2018
There are 69 citations in total.

Details

Primary Language Turkish
Journal Section Research Article
Authors

Bilal Alataş This is me

Ümit Can This is me

Publication Date May 25, 2022
Published in Issue Year 2017 Volume: 8 Issue: 43

Cite

APA Alataş, B., & Can, Ü. (2022). ÇEVRİMİÇİ SOSYAL AĞLARDA ROL KEŞFİ. Düşünce Dünyasında Türkiz, 8(43), 27-51.