{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T01:53:33Z","timestamp":1743040413220,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030594183"},{"type":"electronic","value":"9783030594190"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","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":[[2020]]},"DOI":"10.1007\/978-3-030-59419-0_3","type":"book-chapter","created":{"date-parts":[[2020,9,21]],"date-time":"2020-09-21T16:57:43Z","timestamp":1600707463000},"page":"36-52","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Business Location Selection Based on Geo-Social Networks"],"prefix":"10.1007","author":[{"given":"Qian","family":"Zeng","sequence":"first","affiliation":[]},{"given":"Ming","family":"Zhong","sequence":"additional","affiliation":[]},{"given":"Yuanyuan","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Jianxin","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,22]]},"reference":[{"issue":"2","key":"3_CR1","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1145\/335191.335415","volume":"29","author":"F Korn","year":"2000","unstructured":"Korn, F., Muthukrishnan, S.: Influence sets based on reverse nearest neighbor queries. ACM SIGMOD Rec. 29(2), 201\u2013212 (2000). International Conference on Management of Data","journal-title":"ACM SIGMOD Rec."},{"unstructured":"Huang, J., Wen, Z., Pathan, M., et al.: Ranking locations for facility selection based on potential influences. In: Conference of the Industrial Electronics Society, pp. 2411\u20132416 (2011)","key":"3_CR2"},{"doi-asserted-by":"crossref","unstructured":"Huang, J., Wen, Z., Qi, J., et al.: Top-k most influential locations selection. In: Conference on Information and Knowledge Management, pp. 2377\u20132380 (2011)","key":"3_CR3","DOI":"10.1145\/2063576.2063971"},{"issue":"1","key":"3_CR4","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1007\/s10115-013-0720-0","volume":"43","author":"J Chen","year":"2014","unstructured":"Chen, J., Huang, J., Wen, Z., He, Z., Taylor, K., Zhang, R.: Analysis and evaluation of the top-$$k$$ most influential location selection query. Knowl. Inf. Syst. 43(1), 181\u2013217 (2014). https:\/\/doi.org\/10.1007\/s10115-013-0720-0","journal-title":"Knowl. Inf. Syst."},{"issue":"3","key":"3_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2964906","volume":"2","author":"H Hung","year":"2016","unstructured":"Hung, H., Yang, D., Lee, W., et al.: Social influence-aware reverse nearest neighbor search. ACM Trans. Spatial Algorithms Syst. 2(3), 1\u201315 (2016)","journal-title":"ACM Trans. Spatial Algorithms Syst."},{"doi-asserted-by":"crossref","unstructured":"Kempe, D., Kleinberg, J., Tardos, E., et al.: Maximizing the spread of influence through a social network. In: Knowledge Discovery and Data Mining, pp. 137\u2013146 (2003)","key":"3_CR6","DOI":"10.1145\/956750.956769"},{"doi-asserted-by":"crossref","unstructured":"Chen, W., Wang, C., Wang, Y., et al.: Scalable influence maximization for prevalent viral marketing in large-scale social networks. In: Knowledge Discovery and Data Mining, pp. 1029\u20131038 (2010)","key":"3_CR7","DOI":"10.1145\/1835804.1835934"},{"doi-asserted-by":"crossref","unstructured":"Borgs, C., Brautbar, M., Chayes, J., et al.: Maximizing social influence in nearly optimal time. In: Symposium on Discrete Algorithms, pp. 946\u2013957 (2014)","key":"3_CR8","DOI":"10.1137\/1.9781611973402.70"},{"doi-asserted-by":"crossref","unstructured":"Tang, Y., Shi, Y., Xiao, X., et al.: Influence maximization in near-linear time: a martingale approach. In: International Conference on Management of Data, pp. 1539\u20131554 (2015)","key":"3_CR9","DOI":"10.1145\/2723372.2723734"},{"doi-asserted-by":"crossref","unstructured":"Tang, Y., Xiao, X., Shi, Y., et al.: Influence maximization: near-optimal time complexity meets practical efficiency. In: International Conference on Management of Data, pp. 75\u201386 (2014)","key":"3_CR10","DOI":"10.1145\/2588555.2593670"},{"issue":"2","key":"3_CR11","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1109\/TKDE.2016.2624734","volume":"29","author":"X Wang","year":"2017","unstructured":"Wang, X., Zhang, Y., Zhang, W., et al.: Bring order into the samples: a novel scalable method for influence maximization. IEEE Trans. Knowl. Data Eng. 29(2), 243\u2013256 (2017)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"doi-asserted-by":"crossref","unstructured":"Li, G., Chen, S., Feng, J., et al.: Efficient location-aware influence maximization. In: International Conference on Management of Data, pp. 87\u201398 (2014)","key":"3_CR12","DOI":"10.1145\/2588555.2588561"},{"doi-asserted-by":"crossref","unstructured":"Wang, A., Zhang, A., Lin, A., et al.: Distance-aware influence maximization in geo-social network. In: International Conference on Data Engineering, pp. 1\u201312 (2016)","key":"3_CR13","DOI":"10.1109\/ICDE.2016.7498224"},{"issue":"3","key":"3_CR14","doi-asserted-by":"publisher","first-page":"599","DOI":"10.1109\/TKDE.2016.2633472","volume":"29","author":"X Wang","year":"2017","unstructured":"Wang, X., Zhang, Y., Zhang, W., et al.: Efficient distance-aware influence maximization in geo-social networks. IEEE Trans. Knowl. Data Eng. 29(3), 599\u2013612 (2017)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"3","key":"3_CR15","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1287\/moor.4.3.233","volume":"4","author":"V Chvatal","year":"1979","unstructured":"Chvatal, V.: A greedy heuristic for the set-covering problem. Math. Oper. Res. 4(3), 233\u2013235 (1979)","journal-title":"Math. Oper. Res."},{"key":"3_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1007\/978-3-319-91452-7_24","volume-title":"Database Systems for Advanced Applications","author":"M Zhong","year":"2018","unstructured":"Zhong, M., Zeng, Q., Zhu, Y., Li, J., Qian, T.: Sample location selection for efficient distance-aware influence maximization in geo-social networks. In: Pei, J., Manolopoulos, Y., Sadiq, S., Li, J. (eds.) DASFAA 2018. LNCS, vol. 10827, pp. 355\u2013371. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-91452-7_24"}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-59419-0_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T17:49:33Z","timestamp":1710265773000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-59419-0_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030594183","9783030594190"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-59419-0_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"22 September 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Jeju","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/db.pknu.ac.kr\/dasfaa2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-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":"487","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":"119","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":"23","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":"24% - 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":"3.11","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":"6.81","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"15 demo papers and 4 industrial papers","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}