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2020 | OriginalPaper | Chapter

From Generality to Specificity: On Matter of Scale in Social Media Topic Communities

Authors : Danila Vaganov, Mariia Bardina, Valentina Guleva

Published in: Computational Science – ICCS 2020

Publisher: Springer International Publishing

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Abstract

Research question stated in current paper concerns measuring significance of interest topic to a person on the base of digital footprints, observed in on-line social media. Interests are represented by on-line social groups in VK social network, which were marked by topics. Topic significance to a person is supposed to be related to the fraction of representative groups in user’s subscription list. We imply that for each topic, depending on its popularity, relation to geographical region, and social acceptability, there is a value of group size which is significant. In addition, we suppose, that professional clusters of groups demonstrate relatively higher inner density and unify common groups. Therefore, following groups from more specific clusters indicate higher personal involvement to a topic – in this way, representative topical groups are marked. We build social group similarity graph, which is based on the number of common followers, extract subgraphs related to a single topic, and analyse bins of groups, build with increase of group sizes. Results show topics of general interests have higher density at larger groups in contrast to specific interests, which is in correspondence with initial hypothesis.
Footnotes
Literature
1.
go back to reference Backstrom, L., Huttenlocher, D., Kleinberg, J., Lan, X.: Group formation in large social networks: membership, growth, and evolution. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 44–54 (2006) Backstrom, L., Huttenlocher, D., Kleinberg, J., Lan, X.: Group formation in large social networks: membership, growth, and evolution. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 44–54 (2006)
2.
go back to reference Butler, B.S., Bateman, P.J., Gray, P.H., Diamant, E.I.: An attraction-selection-attrition theory of online community size and resilience. MIS Q. 38(3), 699–729 (2014) CrossRef Butler, B.S., Bateman, P.J., Gray, P.H., Diamant, E.I.: An attraction-selection-attrition theory of online community size and resilience. MIS Q. 38(3), 699–729 (2014) CrossRef
3.
go back to reference Carr, P.B., Walton, G.M.: Cues of working together fuel intrinsic motivation. J. Exp. Soc. Psychol. 53, 169–184 (2014) CrossRef Carr, P.B., Walton, G.M.: Cues of working together fuel intrinsic motivation. J. Exp. Soc. Psychol. 53, 169–184 (2014) CrossRef
4.
go back to reference Cheryan, S., Plaut, V.C.: Explaining underrepresentation: a theory of precluded interest. Sex Roles 63(7–8), 475–488 (2010) CrossRef Cheryan, S., Plaut, V.C.: Explaining underrepresentation: a theory of precluded interest. Sex Roles 63(7–8), 475–488 (2010) CrossRef
5.
go back to reference Cinelli, M., Brugnoli, E., Schmidt, A.L., Zollo, F., Quattrociocchi, W., Scala, A.: Selective exposure shapes the Facebook news diet. arXiv preprint arXiv:​1903.​00699 (2019) Cinelli, M., Brugnoli, E., Schmidt, A.L., Zollo, F., Quattrociocchi, W., Scala, A.: Selective exposure shapes the Facebook news diet. arXiv preprint arXiv:​1903.​00699 (2019)
6.
go back to reference Derevitskii, I., Severiukhina, O., Bochenina, K.: Clustering interest graphs for customer segmentation problems. In: 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS), pp. 321–327. IEEE (2019) Derevitskii, I., Severiukhina, O., Bochenina, K.: Clustering interest graphs for customer segmentation problems. In: 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS), pp. 321–327. IEEE (2019)
7.
go back to reference Dewey, J.: Interest and Effort in Education. Houghton Mifflin, Boston (1913) CrossRef Dewey, J.: Interest and Effort in Education. Houghton Mifflin, Boston (1913) CrossRef
8.
go back to reference Faralli, S., Stilo, G., Velardi, P.: Automatic acquisition of a taxonomy of microblogs users’ interests. J. Web Semant. 45, 23–40 (2017) CrossRef Faralli, S., Stilo, G., Velardi, P.: Automatic acquisition of a taxonomy of microblogs users’ interests. J. Web Semant. 45, 23–40 (2017) CrossRef
9.
go back to reference Gao, L., Wu, J., Zhou, C., Hu, Y.: Collaborative dynamic sparse topic regression with user profile evolution for item recommendation. In: Thirty-First AAAI Conference on Artificial Intelligence (2017) Gao, L., Wu, J., Zhou, C., Hu, Y.: Collaborative dynamic sparse topic regression with user profile evolution for item recommendation. In: Thirty-First AAAI Conference on Artificial Intelligence (2017)
11.
go back to reference Han, X., Wang, L., Crespi, N., Park, S., Cuevas, Á.: Alike people, alike interests? Inferring interest similarity in online social networks. Decis. Support Syst. 69, 92–106 (2015) CrossRef Han, X., Wang, L., Crespi, N., Park, S., Cuevas, Á.: Alike people, alike interests? Inferring interest similarity in online social networks. Decis. Support Syst. 69, 92–106 (2015) CrossRef
12.
go back to reference Harackiewicz, J.M., Knogler, M.: Theory and application. In: Handbook of Competence and Motivation: Theory and Application, p. 334 (2017) Harackiewicz, J.M., Knogler, M.: Theory and application. In: Handbook of Competence and Motivation: Theory and Application, p. 334 (2017)
13.
go back to reference Hidi, S., Renninger, K.A.: The four-phase model of interest development. Educ. Psychol. 41(2), 111–127 (2006) CrossRef Hidi, S., Renninger, K.A.: The four-phase model of interest development. Educ. Psychol. 41(2), 111–127 (2006) CrossRef
15.
go back to reference Hulleman, C., Dicke, A., Kosovich, J., Thoman, D.: The role of perceived social norms and parents’ value in the development of interest in biology. In: Poster Presented at the Annual Meeting of the Society for Personality and Social Psychology, San Diego, CA (2016) Hulleman, C., Dicke, A., Kosovich, J., Thoman, D.: The role of perceived social norms and parents’ value in the development of interest in biology. In: Poster Presented at the Annual Meeting of the Society for Personality and Social Psychology, San Diego, CA (2016)
18.
go back to reference McCaslin, M.: Co-regulation of student motivation and emergent identity. Educ. Psychol. 44(2), 137–146 (2009) CrossRef McCaslin, M.: Co-regulation of student motivation and emergent identity. Educ. Psychol. 44(2), 137–146 (2009) CrossRef
19.
go back to reference McPherson, G.E., Osborne, M.S., Barrett, M.S., Davidson, J.W., Faulkner, R.: Motivation to study music in Australian schools: the impact of music learning, gender, and socio-economic status. Res. Stud. Music Educ. 37(2), 141–160 (2015) CrossRef McPherson, G.E., Osborne, M.S., Barrett, M.S., Davidson, J.W., Faulkner, R.: Motivation to study music in Australian schools: the impact of music learning, gender, and socio-economic status. Res. Stud. Music Educ. 37(2), 141–160 (2015) CrossRef
20.
go back to reference Newman, D., Lau, J.H., Grieser, K., Baldwin, T.: Automatic evaluation of topic coherence. In: Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp. 100–108. Association for Computational Linguistics, Los Angeles (2010) Newman, D., Lau, J.H., Grieser, K., Baldwin, T.: Automatic evaluation of topic coherence. In: Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp. 100–108. Association for Computational Linguistics, Los Angeles (2010)
21.
go back to reference Newman, M.E.: Modularity and community structure in networks. Proc. Natl. Acad. Sci. 103(23), 8577–8582 (2006) CrossRef Newman, M.E.: Modularity and community structure in networks. Proc. Natl. Acad. Sci. 103(23), 8577–8582 (2006) CrossRef
22.
go back to reference Philippe, F.L., Vallerand, R.J., Lavigne, G.L.: Passion does make a difference in people’s lives: a look at well-being in passionate and non-passionate individuals. Appl. Psychol.: Health Well-Being 1(1), 3–22 (2009) Philippe, F.L., Vallerand, R.J., Lavigne, G.L.: Passion does make a difference in people’s lives: a look at well-being in passionate and non-passionate individuals. Appl. Psychol.: Health Well-Being 1(1), 3–22 (2009)
24.
go back to reference Renninger, K.A., Hidi, S.: The Power of Interest for Motivation and Engagement. Routledge, Abingdon (2015) CrossRef Renninger, K.A., Hidi, S.: The Power of Interest for Motivation and Engagement. Routledge, Abingdon (2015) CrossRef
25.
go back to reference Renninger, K.A., Hidi, S., Krapp, A., Renninger, A.: The Role of Interest in Learning and Development. Psychology Press (2014) Renninger, K.A., Hidi, S., Krapp, A., Renninger, A.: The Role of Interest in Learning and Development. Psychology Press (2014)
27.
go back to reference Schmutz, V., Stearns, E., Glennie, E.J.: Cultural capital formation in adolescence: high schools and the gender gap in arts activity participation. Poetics 57, 27–39 (2016) CrossRef Schmutz, V., Stearns, E., Glennie, E.J.: Cultural capital formation in adolescence: high schools and the gender gap in arts activity participation. Poetics 57, 27–39 (2016) CrossRef
28.
go back to reference Segalovich, I.: A fast morphological algorithm with unknown word guessing induced by a dictionary for a web search engine. In: MLMTA, pp. 273–280. Citeseer (2003) Segalovich, I.: A fast morphological algorithm with unknown word guessing induced by a dictionary for a web search engine. In: MLMTA, pp. 273–280. Citeseer (2003)
29.
go back to reference Song, Y., Elkahky, A.M., He, X.: Multi-rate deep learning for temporal recommendation. In: Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 909–912 (2016) Song, Y., Elkahky, A.M., He, X.: Multi-rate deep learning for temporal recommendation. In: Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 909–912 (2016)
31.
go back to reference Traag, V.A., Waltman, L., van Eck, N.J.: From Louvain to Leiden: guaranteeing well-connected communities. Sci. Rep. 9(1), 1–12 (2019) CrossRef Traag, V.A., Waltman, L., van Eck, N.J.: From Louvain to Leiden: guaranteeing well-connected communities. Sci. Rep. 9(1), 1–12 (2019) CrossRef
32.
go back to reference Vaganov, D., Sheina, E., Bochenina, K.: A comparative study of social data similarity measures related to financial behavior. Proc. Comput. Sci. 136, 274–283 (2018) CrossRef Vaganov, D., Sheina, E., Bochenina, K.: A comparative study of social data similarity measures related to financial behavior. Proc. Comput. Sci. 136, 274–283 (2018) CrossRef
35.
go back to reference Worsley, A., Wang, W., Ismail, S., Ridley, S.: Consumers’ interest in learning about cooking: the influence of age, gender and education. Int. J. Consum. Stud. 38(3), 258–264 (2014) CrossRef Worsley, A., Wang, W., Ismail, S., Ridley, S.: Consumers’ interest in learning about cooking: the influence of age, gender and education. Int. J. Consum. Stud. 38(3), 258–264 (2014) CrossRef
36.
go back to reference Zarrinkalam, F., Kahani, M., Bagheri, E.: User interest prediction over future unobserved topics on social networks. Inf. Retrieval J. 22(1–2), 93–128 (2019) CrossRef Zarrinkalam, F., Kahani, M., Bagheri, E.: User interest prediction over future unobserved topics on social networks. Inf. Retrieval J. 22(1–2), 93–128 (2019) CrossRef
Metadata
Title
From Generality to Specificity: On Matter of Scale in Social Media Topic Communities
Authors
Danila Vaganov
Mariia Bardina
Valentina Guleva
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-50423-6_23