000 03137nam a2200349 i 4500
001 256420
003 TH-BaBU
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008 210717s2021 sz a fob 000 0 eng d
040 _aEBLCP
_beng
_cTH-BaBU
020 _a9783030670443 (electronic bk.)
020 _a9783030670436
050 4 _aQA76.9.B45
_bB532 2021
245 0 0 _aBig data and social media analytics :
_btrending applications /
_cMehmet Cakirtas, Mehmet Kemal Ozdemir, editors.
264 4 _aCham, Switzerland :
_bSpringer,
_c©2021.
300 _a1 online resource.
336 _atext
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
490 0 _aLecture notes in social networks
504 _aIncludes bibliographical references.
505 0 _aTwenty years of network science : a bibliographic and co-authorship network analysis -- Impact of locational factors on business ratings/reviews : a yelp and TripAdvisor study -- Identifying reliable recommenders in users' collaborating filtering and social neighbourhoods -- Safe travelling period recommendation to high attack risk European destinations based on past attack information -- Analyzing cyber influence campaigns on YouTube using YouTubeTracker -- Blog data analytics using blogtrackers -- Using social media surveillance in order to enhance the effectiveness of crew members in search and rescue missions -- Visual exploration and debugging of machine learning classification over social media data -- Efficient and flexible compression of very sparse networks of big data -- Weather big data analytics : seeking motifs in multivariate weather data -- Analysis of link prediction algorithms in hashtag graphs.
500 _aUsing Social Media Surveillance in Order to Enhance the Effectiveness of Crew Members in Search and Rescue Missions.
520 _aThis edited book provides techniques which address various aspects of big data collection and analysis from social media platforms and beyond. It covers efficient compression of large networks, link prediction in hashtag graphs, visual exploration of social media data, identifying motifs in multivariate data, social media surveillance to enhance search and rescue missions, recommenders for collaborative filtering and safe travel plans to high risk destinations, analysis of cyber influence campaigns on YouTube, impact of location on business rating, bibliographical and co-authorship network analysis, and blog data analytics. All these trending topics form a major part of the state of the art in social media and big data analytics. Thus, this edited book may be considered as a valuable source for readers interested in grasping some of the most recent advancements in this high trending domain.
650 0 _aBig data.
_9144761
650 0 _aData mining.
_928883
650 0 _aOnline social networks.
_9129267
700 1 _aCakirtas, Mehmet,
_eeditor.
_9166106
700 1 _aOzdemir, Mehmet Kemal,
_eeditor.
_9166107
856 4 1 _uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2961979
_zElectronic Resources
942 _2lcc
_cEB
999 _c256420
_d256420