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In many multiplex networks, some layers might be easier to explore (in terms of time, money etc.). We propose\n            <jats:monospace>MCS+<\/jats:monospace>\n            , an algorithm that can use the information from the easier to explore layers to help in the exploration of a layer-of-interest that is expensive to explore. We consider the goal of exploration to be generating a sample that is representative of the communities in the complete layer-of-interest. This work has practical applications in areas such as exploration of dark (e.g., criminal) networks, online social networks, biological networks, and so on. For example, in a terrorist network, relationships such as phone records, e-mail records, and so on are easier to collect; in contrast, data on the face-to-face communications are much harder to collect, but also potentially more valuable. We perform extensive experimental evaluations on real-world networks, and we observe that\n            <jats:monospace>MCS+<\/jats:monospace>\n            consistently outperforms the best baseline\u2014the similarity of the sample that\n            <jats:monospace>MCS+<\/jats:monospace>\n            generates to the real network is up to three times that of the best baseline in some networks. We also perform theoretical and experimental evaluations on the scalability of\n            <jats:monospace>MCS+<\/jats:monospace>\n            to network properties, and find that it scales well with the budget, number of layers in the multiplex network, and the average degree in the original network.\n          <\/jats:p>","DOI":"10.1145\/3451527","type":"journal-article","created":{"date-parts":[[2021,7,20]],"date-time":"2021-07-20T21:06:18Z","timestamp":1626815178000},"page":"1-32","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["<tt>MCS+<\/tt>\n            : An Efficient Algorithm\u00a0for Crawling the Community Structure in Multiplex Networks"],"prefix":"10.1145","volume":"16","author":[{"given":"Ricky","family":"Laishram","sequence":"first","affiliation":[{"name":"Syracuse University Syracuse NY 13210"}]},{"given":"Jeremy D.","family":"Wendt","sequence":"additional","affiliation":[{"name":"Sandia National Laboratories Albuquerque NM"}]},{"given":"Sucheta","family":"Soundarajan","sequence":"additional","affiliation":[{"name":"Syracuse University Syracuse NY"}]}],"member":"320","published-online":{"date-parts":[[2021,7,20]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/775152.775192"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1988688"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3201064.3201066"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1013689704352"},{"key":"e_1_2_1_5_1","volume-title":"Proceedings of the IEEE Conference on Computer Communications Workshops. 813\u2013818","author":"Avrachenkov Konstantin","year":"2014","unstructured":"Konstantin Avrachenkov , Prithwish Basu , Giovanni Neglia , Bruno F. 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