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Lecture Notes in Social Networks Nitin Agarwal · Nima Dokoohaki  Serpil Tokdemir E ditors Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining Lecture Notes in Social Networks Serieseditors RedaAlhajj,UniversityofCalgary,Calgary,AB,Canada UweGlässer,SimonFraserUniversity,Burnaby,BC,Canada HuanLiu,ArizonaStateUniversity,Tempe,AZ,USA RafaelWittek,UniversityofGroningen,Groningen,TheNetherlands DanielZeng,UniversityofArizona,Tucson,AZ,USA AdvisoryBoard CharuC.Aggarwal,YorktownHeights,NY,USA PatriciaL.Brantingham,SimonFraserUniversity,Burnaby,BC,Canada ThiloGross,UniversityofBristol,Bristol,UK JiaweiHan,UniversityofIllinoisatUrbana-Champaign,Urbana,IL,USA RaúlManásevich,UniversityofChile,Santiago,Chile AnthonyJ.Masys,UniversityofLeicester,Ottawa,ON,Canada CarloMorselli,UniversityofMontreal,Montreal,QC,Canada Moreinformationaboutthisseriesathttp://www.springer.com/series/8768 Nitin Agarwal (cid:129) Nima Dokoohaki (cid:129) Serpil Tokdemir Editors Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining 123 Editors NitinAgarwal NimaDokoohaki CollaboratoriumforSocialMedia IntellecteraAB andOnlineBehavioralStudies(COSMOS) Stockholm,Sweden InformationScienceDepartment UniversityofArkansasatLittleRock LittleRock,Arkansas,USA SerpilTokdemir CollaboratoriumforSocialMedia andOnlineBehavioralStudies(COSMOS) UniversityofArkansasatLittleRock LittleRock,Arkansas,USA ISSN2190-5428 ISSN2190-5436 (electronic) LectureNotesinSocialNetworks ISBN978-3-319-94104-2 ISBN978-3-319-94105-9 (eBook) https://doi.org/10.1007/978-3-319-94105-9 LibraryofCongressControlNumber:2018952350 ©SpringerInternationalPublishingAG,partofSpringerNature2019 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartof thematerialisconcerned,specificallytherightsoftranslation,reprinting,reuseofillustrations,recitation, broadcasting,reproductiononmicrofilmsorinanyotherphysicalway,andtransmissionorinformation storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodology nowknownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthors,andtheeditorsaresafetoassumethattheadviceandinformationinthisbook arebelievedtobetrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsor theeditorsgiveawarranty,expressorimplied,withrespecttothematerialcontainedhereinorforany errorsoromissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregardtojurisdictional claimsinpublishedmapsandinstitutionalaffiliations. ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSwitzerlandAG Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland Acknowledgments This effort is funded in part by the U.S. National Science Foundation (IIS-1636933, ACI-1429160, and IIS-1110868), U.S. Office of Naval Research (N00014-10-1-0091, N00014-14-1-0489, N00014-15-P-1187, N00014-16-1-2016, N00014-16-1-2412, N00014-17-1-2605, and N00014-17-1-2675), U.S. Air Force Research Lab, U.S. Army Research Office (W911NF-16-1-0189), U.S. Defense Advanced Research Projects Agency (W31P4Q-17-C-0059), and the Jerry L. Maulden/Entergy Endowment at the University of Arkansas at Little Rock. Any opinions,findings,andconclusionsorrecommendationsexpressedinthismaterial are those of the authors and do not necessarily reflect the views of the funding organizations.Theresearchersgratefullyacknowledgethesupport. v Contents PartI EmergingSocialIssues IntentMiningfortheGood,Bad,andUglyUseofSocialWeb: Concepts,Methods,andChallenges ........................................... 3 HemantPurohitandRahulPandey Bot-ivistm:AssessingInformationManipulationinSocialMedia UsingNetworkAnalytics........................................................ 19 MatthewC.Benigni,KennethJoseph,andKathleenM.Carley StudyingFakeNewsviaNetworkAnalysis:DetectionandMitigation .... 43 KaiShu,H.RussellBernard,andHuanLiu PredictiveAnalysisonTwitter:TechniquesandApplications .............. 67 UgurKursuncu,ManasGaur,UshaLokala,KrishnaprasadThirunarayan, AmitSheth,andI.BudakArpinar PartII FundamentalResearchProblems Using Subgraph Distributions for Characterizing Networks andFittingRandomGraphModels............................................ 107 BenjaminCabrera TestingAssessmentofGroupCollaborationsinOSNs....................... 131 IzzatAlsmadiandMohammadAl-Abdullah DynamicsofOverlappingCommunityStructureswithApplication toExpertIdentification.......................................................... 153 MohsenShahriari,RalfKlamma,andMatthiasJarke OnDynamicTopicModelsforMiningSocialMedia......................... 209 ShathaJaradatandMihhailMatskin vii viii Contents PartIII BroaderChallengesandImpacts Domain-SpecificUseCasesforKnowledge-EnabledSocialMedia Analysis ........................................................................... 233 Soon Jye Kho, Swati Padhee, Goonmeet Bajaj, KrishnaprasadThirunarayan,andAmitSheth Privacy in Human Computation: User Awareness Study, Implications for Existing Platforms, Recommendations, andResearchDirections......................................................... 247 MirelaRiveni,ChristiaanHillenandSchahramDustdar Index............................................................................... 269 About the Editors NitinAgarwal isaDistinguishedProfessorandMaulden-EntergyEndowedChair ofInformationScienceattheUniversityofArkansasatLittleRock.Heisalsothe Director of the Collaboratorium for Social Media and Online Behavioral Studies (COSMOS). His research interests include social computing, deviant behavior modeling, mis/disinformation dissemination, computational propaganda analysis, group dynamics, social-cyber forensics, data mining, artificial intelligence, and privacy.HisresearchhasbeensupportedbytheU.S.NationalScienceFoundation (NSF),theArmyResearchOffice(ARO),theOfficeofNavalResearch(ONR),the AirForce Research Laboratory (AFRL),theDefense Advanced Research Projects Agency (DARPA), and the Department of Homeland Security (DHS) with a total fundingofover$10million.HeisafellowoftheprestigiousInternationalAcademy, ResearchandIndustryAssociation(IARIA).Dr.Agarwalreceivedhisdoctorateat theArizonaStateUniversityin2009withoutstandingdissertationrecognitionand wasrecognizedastop20intheir20sbyArkansasBusiness.Hehaspublishedover 100peer-reviewedarticleswithseveralbestpaperawardsandhasbeenrecognized as an expert in social, cultural, and behavioral modeling by several international newsmediaorganizations. NimaDokoohaki is a senior data scientist. He is currently affiliated with Intellectera,adatascienceresearchanddevelopmentcompanywheretogetherwith cofoundershedevelopsanddeliverssolutionsforconsumerbehaviormodelingand analytics.Inaddition,hemaintainscollaborationwitharesearchgroupatSoftware and Computer Systems department of Royal Institute of Technology (KTH) as an external advisor. His research interests include trust and privacy, applied machine learning, social computing, and recommendation systems. He received his Ph.D. in information and communications technology (ICT) in 2013. The main theme of his research was how to understand and leverage the notion of social trust so online service providers can deliver more transparent and privacy-preserving analytical services to their end users. His research has been backed by European projects funded from EU FP7 and Horizon 2020 framework programs, as well as distinguished public funding organizations including Swedish Research Council ix x AbouttheEditors and Vinnova. In 2014, he received a distinguished fellowship from the European ResearchConsortiumforInformaticsandMathematics(ERCIM).Hehaspublished over 30 peer-reviewed articles. In addition to two best paper awards, he has been interviewedforhisvisibleresearch,andhislecturehasbeenbroadcastedonSwedish public television. An ACM professional member, he is a certified reviewer for prestigious Knowledge and Information Systems (KAIS) as well as occasional reviewerforrecognizedinternationalvenuesandjournals. SerpilTokdemir isaresearchprojectanalystattheOfficeofMedicaidInspector General (OMIG), Little Rock, Arkansas, USA. Dr. Tokdemir has a joint affili- ation with the Collaboratorium for Social Media and Online Behavioral Studies (COSMOS)atUALRasresearchassociate.Herworkinvolvesextractingrawdata fromFraudandAbuseDetectionSystem(FADS),clusteranalysis,anomaly/outlier detection, predictive analysis and decision support systems, data visualization, contentmining,andnetworkanalysis.Dr.TokdemirobtainedherPh.D.fromUALR in 2015 with support from U.S. National Science Foundation (NSF). Bringing together the computational modeling and social science theories, her dissertation explored the role of social media in coordinating online collective action in the context of Saudi Arabian Women’s campaigns for right to gender equality. She has published several articles in this domain and won the most published student distinction by Engineering and Information Technology college at UALR. She obtained her Bachelor of Science in Computer Science from Marmara University, Istanbul,Turkey,in2003.ShecompletedherMasterofScience(MS)inComputer SciencefromGeorgiaStateUniversityin2006,Atlanta,Georgia,USA.

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The contributors in this book share, exchange, and develop new concepts, ideas, principles, and methodologies in order to advance and deepen our understanding of social networks in the new generation of Information and Communication Technologies (ICT) enabled by Web 2.0, also referred to as social m
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