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Erschienen in:
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2014 | OriginalPaper | Buchkapitel

5. Cross-Network Social Multimedia Computing

verfasst von : Jitao Sang

Erschienen in: User-centric Social Multimedia Computing

Verlag: Springer Berlin Heidelberg

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Abstract

Social multimedia contributes significantly to the arrival of the Big Data era. The distribution of social multimedia content and users’ social multimedia activities among various social media networks motivate us to investigate social multimedia computing under the cross-network circumstances. We interpret cross-network as the “variety” of social multimedia: the heterogeneous data in various social media networks. In this chapter, basic tasks of user-centric social multimedia computing are extended under the cross-network circumstances, by exploiting the overlapped users among social media networks.

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Vorheriges Kapitel Personalized Multimedia Search
Nächstes Kapitel Conclusion
Fußnoten
1
 Please refer details to “Anderson Analytics 2009 report: what your favorite social network says about you?”.
 
2
 A personal web hosting service that offers people a one-page profile to link multiple user accounts from popular social media networks.
 
3
 1M = 1 million.
 
4
 Social knowledge indicates a typical pattern in users’ social relation or social activity data, e.g., the SNS patterns in Facebook, the video watching patterns in YouTube, and the consuming patterns in Amazon
 
5
YouTube has started to let video content providers be partners to cash in on the videos posted by sharing ad revenue and charging rental fees to viewers.
 
Literatur
1.
Abel, F., Araújo, S., Gao, Q., Houben. G.-J.: Analyzing cross-system user modeling on the social web. In: Web Engineering, pp. 28–43. Springer (2011)
2.
Althoff, T., Borth, D., Hees, J., Dengel. A.: Analysis and forecasting of trending topics in online media streams. In: Proceedings of the 21st ACM International Conference on Multimedia, pp. 907–916 (2013)
3.
Becker, H., Iter, D., Naaman, M., Gravano. L.: Identifying content for planned events across social media sites. In: Proceedings of the Fifth ACM International Conference on Web Search and Data Mining, pp. 533–542 (2012)
4.
Blei, D.M., Jordan, M. I.: Modeling annotated data. In: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Informaion Retrieval, pp. 127–134 (2003)
5.
Carmagnola, F., Cena, F.: User identification for cross-system personalisation. Inform. Sci. 179(1), 16–32 (2009)CrossRef
6.
Cha ,M., Pérez, J., Haddadi .H.: Flash floods and ripples: the spread of media content through the blogosphere. In: ICWSM 2009: Proceedings of the 3rd AAAI International Conference on Weblogs and Social Media (2009)
7.
De Choudhury, M., Sundaram, H.: Why do we converse on social media?: An analysis of intrinsic and extrinsic network factors. In: Proceedings of the 3rd ACM SIGMM International Workshop on Social Media, pp. 53–58 (2011)
8.
Deng, .Z., Sang, J., Xu, C.: Personalized video recommendation based on cross-platform user modeling. In: 2013 IEEE International Conference on Multimedia and Expo (ICME), pp. 1–6. IEEE (2013)
9.
Ding, X., Zhang, L., Wan, Z., Gu, M.: De-anonymizing dynamic social networks. In: Global Telecommunications Conference (GLOBECOM 2011), pp. 1–6. IEEE (2011)
10.
11.
Gomez Rodriguez, M., Leskovec, J., Schölkopf, B.: Structure and dynamics of information pathways in online media. In: Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, pp. 23–32 (2013)
12.
Guo, L., Tan, E., Chen, S., Zhang, X., Zhao, Y. E.: Analyzing patterns of user content generation in online social networks. In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 369–378 (2009)
13.
Hu, M., Liu, S., Wei, F., Wu, Y., Stasko, J., Ma, K.-L.: Breaking news on twitter. In: CHI, pp. 2751–2754 (2012)
14.
Iofciu, T., Fankhauser, P., Abel, F., Bischoff, K.: Identifying users across social tagging systems. In: ICWSM (2011)
15.
Kim, M., Newth, D., Christen, P.: Trends of news diffusion in social media based on crowd phenomena. In: World Wide Web Companion, pp. 753–758 (2014)
16.
Lerman, K., Ghosh, R.: Information contagion: An empirical study of the spread of news on digg and twitter social networks. In: ICWSM, pp. 90–97 (2010)
17.
Leskovec, J., McGlohon, M., Faloutsos, C., Glance, N.S., Hurst, M.: Patterns of cascading behavior in large blog graphs. SDM 7, 551–556 (2007)
18.
Magnani, M., Rossi, L.: The ml-model for multi-layer social networks. In: 2011 International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 5–12 (2011)
19.
Mislove, A., Marcon, M., Gummadi, K. P., Druschel, P., Bhattacharjee, B.: Measurement and analysis of online social networks. In: Proceedings of the 7th ACM SIGCOMM Conference on Internet Measurement, pp. 29–42 (2007)
20.
Narayanan, A., Shmatikov, V.: De-anonymizing social networks. In: 2009 30th IEEE Symposium on Security and Privacy, pp. 173–187 (2009)
21.
Osborne, M., Petrovic, S., McCreadie, R., Macdonald, C., Ounis, I.: Bieber no more: first story detection using twitter and wikipedia. In: Proceedings of the Workshop on Time-aware Information Access. TAIA, vol. 12 (2012)
22.
Roy, S. D., Mei, T., Zeng, W., Li, S.: Empowering cross-domain internet media with real-time topic learning from social streams. In: 2012 IEEE International Conference on Multimedia and Expo (ICME), pp. 49–54 (2012)
23.
Roy, S. D., Mei, T., Zeng, W., Li, S.: Socialtransfer: cross-domain transfer learning from social streams for media applications. In: ACM Multimedia, pp. 649–658. ACM (2012)
24.
Roy, S.D., Mei, T., Zeng, W., Li, S.: Towards Cross-domain Learning for Social Video Popularity Prediction. IEEE Trans. Multimedia 15(6), 1255–1267 (2013)CrossRef
25.
Sundaram, H.: Experiential media systems. ACM Trans. Multimedia Comput. Commun. and Appl. (TOMCCAP) 9(1s), 49 (2013)
26.
Tsagkias, M., de Rijke, M., Weerkamp, W.: Linking online news and social media. In: Proceedings of the Fourth ACM International Conference on Web Search and Data Mining, pp. 565–574 (2011)
27.
Wang, P., He, W., Zhao, J.: A tale of three social networks: User activity comparisons across facebook, twitter, and foursquare. Internet Comput. IEEE 18(2), 10–15 (2014)CrossRef
28.
Xiang, L., Yuan, Q., Zhao, S., Chen, L., Zhang, X., Yang, Q., Sun, J.: Temporal recommendation on graphs via long-and short-term preference fusion. In: SIGKDD, pp. 723–732 (2010)
29.
Yan, M., Sang, J., Mei, T., Xu, C.: Friend transfer: cold-start friend recommendation with cross-platform transfer learning of social knowledge. In: 2013 IEEE International Conference on Multimedia and Expo (ICME), pp. 1–6 (2013)
30.
Yuan, N. J., Zhang, F., Lian, D., Zheng, K., Yu, S., Xie, X.: We know how you live: exploring the spectrum of urban lifestyles. In: Proceedings of the First ACM Conference on Online Social Networks, pp. 3–14 (2013)
31.
Zafarani, R., Liu, H., Connecting users across social media sites: a behavioral-modeling approach. In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 41–49 (2013)
32.
Zhang, F., Yuan, N. J., Lian, D., Xie, X.: Mining novelty-seeking trait across heterogeneous domains. In: Proceedings of the 23rd International Conference on World Wide Web, pp. 373–384 (2014)
33.
Zhao, W.X., Jiang, J., Weng, J., He, J., Lim, E.-P., Yan, H., Li, X.: Comparing twitter and traditional media using topic models. In: Advances in Information Retrieval, pp. 338–349 (2011)
34.
Zhong, E., Fan, W., Zhu, Y., Yang, Q.: Modeling the dynamics of composite social networks. In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 937–945 (2013)
35.
Zhong, E., Fan, W., Yang, Q.: User behavior learning and transfer in composite social networks. ACM Trans. Knowl. Discov. Data (TKDD) 8(1), 6 (2014)
Metadaten
Titel
Cross-Network Social Multimedia Computing
verfasst von
Jitao Sang
Copyright-Jahr
2014
Verlag
Springer Berlin Heidelberg
Buch
User-centric Social Multimedia Computing

Print ISBN: 978-3-662-44670-6

Electronic ISBN: 978-3-662-44671-3

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-3-662-44671-3_5

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