{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:04:46Z","timestamp":1742911486208,"version":"3.40.3"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030017705"},{"type":"electronic","value":"9783030017712"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-01771-2_26","type":"book-chapter","created":{"date-parts":[[2018,10,6]],"date-time":"2018-10-06T16:43:04Z","timestamp":1538844184000},"page":"405-420","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Finding Topic-Specific Trends and Influential Users in Social Networks"],"prefix":"10.1007","author":[{"given":"Eleni","family":"Koutrouli","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christos","family":"Daskalakis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aphrodite","family":"Tsalgatidou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,10,7]]},"reference":[{"key":"26_CR1","doi-asserted-by":"crossref","unstructured":"Agarwal, N., Liu, H., Tang, L., Yu, P.S.: Identifying the influential bloggers in a community. In: Proceedings of the International Conference on Web Search and Web Data Mining (WSDM \u201808), pp. 207\u2013218. ACM (2008)","DOI":"10.1145\/1341531.1341559"},{"key":"26_CR2","doi-asserted-by":"crossref","unstructured":"Ahmed, S., Ezeife, C.I.: Discovering influential nodes from trust network. In: Proceedings of the 28th Annual ACM Symposium on Applied Computing (SAC \u201813), pp. 121\u2013128. ACM (2013)","DOI":"10.1145\/2480362.2480389"},{"key":"26_CR3","doi-asserted-by":"crossref","unstructured":"Anger, I., Kittl, C.: Measuring influence on Twitter. In: Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies (i-KNOW \u201811), ACM (2011)","DOI":"10.1145\/2024288.2024326"},{"key":"26_CR4","unstructured":"Apache, https:\/\/spark.apache.org\/. Accessed 28 June 2018"},{"key":"26_CR5","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1016\/j.procs.2015.04.055","volume":"50","author":"S Bagchi","year":"2015","unstructured":"Bagchi, S.: Performance and quality assessment of similarity measures in collaborative filtering using mahout. Procedia Comput. Sci. 50, 229\u2013234 (2015)","journal-title":"Procedia Comput. Sci."},{"key":"26_CR6","unstructured":"Bento, C.: Finding influencers in social networks. Dissertation, Instituto Superior Technico, Universidate Tecnica de Lisboa (2012)"},{"key":"26_CR7","doi-asserted-by":"crossref","unstructured":"Chen, W., Wang, Y., Yang, S.: Efficient influence maximization in social networks. In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD \u201809), pp. 199\u2013208. ACM (2009)","DOI":"10.1145\/1557019.1557047"},{"key":"26_CR8","doi-asserted-by":"crossref","unstructured":"De Meo, P., Ferrara, E., Fiumara, G., Provetti, A.: Improving recommendation quality by merging collaborative filtering and social relationships. In: Proceedings of the 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011), pp. 587\u2013592. IEEE (2011)","DOI":"10.1109\/ISDA.2011.6121719"},{"issue":"2","key":"26_CR9","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1561\/1100000009","volume":"4","author":"Michael D. Ekstrand","year":"2011","unstructured":"Ekstrand, M.D., Riedl, J.T., Konstan, J.A.: Collaborative filtering recommender systems. Found. Trends Hum.-Comput. Interact. 4(2), 81\u2013173 (2011)","journal-title":"Foundations and Trends\u00ae in Human\u2013Computer Interaction"},{"key":"26_CR10","unstructured":"Epinions, http:\/\/www.epinions.com\/. Accessed 28 June 2018"},{"key":"26_CR11","doi-asserted-by":"crossref","unstructured":"Goyal, A., Bonchi, F., Lakshmanan, L.: Learning influence probabilities in social networks. In: Proceedings of the 3rd ACM International Conference on Web Search and Data Mining (WSDM \u201810), pp. 241\u2013250. ACM (2010)","DOI":"10.1145\/1718487.1718518"},{"key":"26_CR12","unstructured":"InfluenceTracker, http:\/\/www.influencetracker.com\/. Accessed 28 June 2018"},{"key":"26_CR13","unstructured":"Klout, https:\/\/klout.com\/, https:\/\/www.lithium.com\/products\/klout. Accessed 28 June 2018"},{"key":"26_CR14","doi-asserted-by":"crossref","unstructured":"Koutrouli, E., Kanellopoulos, G., Tsalgatidou, A.: Reputation mechanisms in on-line social networks: the case of an influence estimation system in Twitter. In Proceedings of the SouthEast European Design Automation, Computer Engineering, Computer Networks and Social Media Conference, pp. 98\u2013105. ACM (2016)","DOI":"10.1145\/2984393.2984400"},{"issue":"3","key":"26_CR15","doi-asserted-by":"publisher","first-page":"569","DOI":"10.1287\/isre.2014.0529","volume":"25","author":"S Prawesh","year":"2014","unstructured":"Prawesh, S., Padmanabhan, B.: The, \u201cmost popular news\u201d recommender: count amplification and manipulation resistance. Inf. Syst. Res. 25(3), 569\u2013589 (2014)","journal-title":"Inf. Syst. Res."},{"key":"26_CR16","doi-asserted-by":"crossref","unstructured":"Razis, G., Anagnostopoulos, I. InfluenceTracker: Rating the impact of a Twitter account. In: 10th IFIP International Conference on Artificial Intelligence Applications and Innovations, pp. 184\u2013195. Springer, Berlin (2014)","DOI":"10.1007\/978-3-662-44722-2_20"},{"key":"26_CR17","unstructured":"Realtime Tweets, https:\/\/developer.twitter.com\/en\/docs\/tweets\/filter-realtime\/overview. Accessed 28 June 2018"},{"issue":"5","key":"26_CR18","doi-asserted-by":"publisher","first-page":"949","DOI":"10.1016\/j.ipm.2016.04.003","volume":"52","author":"F Riquelme","year":"2016","unstructured":"Riquelme, F., Gonz\u00e1lez-Cantergiani, P.: Measuring user influence on Twitter. Inf. Process. Manag. 52(5), 949\u2013975 (2016)","journal-title":"Inf. Process. Manag."},{"key":"26_CR19","doi-asserted-by":"crossref","unstructured":"Ruohomaa, S., Kutvonen, L. Koutrouli, E.: Reputation management survey. In: Proceedings of the 2nd International Conference on Availability, Reliability and Security (ARES), pp. 103\u2013111 (2007)","DOI":"10.1109\/ARES.2007.123"},{"issue":"4","key":"26_CR20","doi-asserted-by":"publisher","first-page":"643","DOI":"10.1509\/jmkr.47.4.643","volume":"47","author":"M Trusov","year":"2010","unstructured":"Trusov, M., Bodapati, A.V., Bucklin, R.: Determining influential users in internet social networks. J. Mark. Res. 47(4), 643\u2013658 (2010)","journal-title":"J. Mark. Res."},{"key":"26_CR21","unstructured":"Twitter Counter, https:\/\/twittercounter.com\/pages\/100. Accessed 28 June 2018"},{"key":"26_CR22","unstructured":"Twitter embedded timelines, https:\/\/dev.twitter.com\/web\/embedded-timelines. Accessed 28 June 2018"},{"key":"26_CR23","unstructured":"Twitter Rest API, https:\/\/dev.twitter.com\/twitterkit\/android\/access-rest-api. Accessed 28 June 2018"},{"key":"26_CR24","unstructured":"Twitter, https:\/\/twitter.com. Accessed 28 June 2018"},{"key":"26_CR25","doi-asserted-by":"crossref","unstructured":"Varlamis, I., Eirinaki, M., Louta, M.: Application of social network metrics to a trust-aware collaborative model for generating personalized user recommendations. In: The Influence of Technology on Social Network Analysis and Mining, vol 6. Springer, Berlin (2013)","DOI":"10.1007\/978-3-7091-1346-2_3"},{"key":"26_CR26","doi-asserted-by":"publisher","first-page":"412","DOI":"10.1016\/j.procs.2013.06.056","volume":"19","author":"N Yazdanfar","year":"2013","unstructured":"Yazdanfar, N., Thomo, A.: Link recommender: collaborative-filtering for recommending urls to Twitter Users. Procedia Comput. Sci. 19, 412\u2013419 (2013)","journal-title":"Procedia Comput. Sci."},{"key":"26_CR27","doi-asserted-by":"crossref","unstructured":"Ye, S., Wu, S.F.: Measuring message propagation and social influence on Twitter.com. In: Proceedings of the 2nd International Conference on Social Informatics (SocInfo\u201910), Springer, pp. 216\u2013231 (2010)","DOI":"10.1007\/978-3-642-16567-2_16"}],"container-title":["Lecture Notes in Computer Science","Discovery Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-01771-2_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T11:14:10Z","timestamp":1709810050000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-01771-2_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030017705","9783030017712"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-01771-2_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"7 October 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Discovery Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Limassol","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cyprus","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 October 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 October 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dis2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.cyprusconferences.org\/ds2018\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"71","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"30","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"42% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}