13.3.2.2 Social Networks, Creation, Visualization, Use

Chapter Contents (Back)
Social Networks. Networks applied to human connections more than image descriptions.

Pavon, J.[Juan], Arroyo, M.[Millan], Hassan, S.[Samer], Sansores, C.[Candelaria],
Agent-based modelling and simulation for the analysis of social patterns,
PRL(29), No. 8, 1 June 2008, pp. 1039-1048.
WWW Link. 0804
Agent-based modelling; Agent-based simulation; Social simulation; Behavioural patterns; Social patterns BibRef

Kaza, S., Xu, J., Marshall, B., Chen, H.,
Topological Analysis of Criminal Activity Networks: Enhancing Transportation Security,
ITS(10), No. 1, March 2009, pp. 83-91.
IEEE DOI 0903
BibRef

Zhang, Z.Y.[Zhi-Yong], Nasraoui, O.[Olfa],
Profile-Based Focused Crawling for Social Media-Sharing Websites,
JIVP(2009), No. 2009, pp. xx-yy.
DOI Link 0904
BibRef

Steinhaeuser, K.[Karsten], Chawla, N.V.[Nitesh V.],
Identifying and evaluating community structure in complex networks,
PRL(31), No. 5, 1 April 2010, pp. 413-421.
Elsevier DOI 1002
Complex networks; Community detection; Social networks; Random walks; Scalability; Evaluation metrics BibRef

Hosio, S.[Simo], Kukka, H.[Hannu], Riekki, J.[Jukka],
Social Surroundings: Bridging the Virtual and Physical Divide,
MultMedMag(17), No. 2, April-June 2010, pp. 26-33.
IEEE DOI 1006
BibRef

Qi, G.J.[Guo-Jun], Aggarwal, C.[Charu], Tian, Q.[Qi], Ji, H.[Heng], Huang, T.S.[Thomas S.],
Exploring Context and Content Links in Social Media: A Latent Space Method,
PAMI(34), No. 5, May 2012, pp. 850-862.
IEEE DOI 1204
Data mining content and context. BibRef

Anand, S., Subbalakshmi, K.P., Chandramouli, R.,
A Quantitative Model and Analysis of Information Confusion in Social Networks,
MultMed(15), No. 1, January 2013, pp. 207-223.
IEEE DOI 1212
BibRef

Servia-Rodriguez, S., Fernandez-Vilas, A., Diaz-Redondo, R.P., Pazos-Arias, J.J.,
Inferring Contexts From Facebook Interactions: A Social Publicity Scenario,
MultMed(15), No. 6, 2013, pp. 1296-1303.
IEEE DOI 1309
NLP; Social web; data mining; social contexts; social publicity BibRef

Keszler, A.[Anita], Szirányi, T.[Tamás], Tuza, Z.[Zsolt],
Dense subgraph mining with a mixed graph model,
PRL(34), No. 11, 1 August 2013, pp. 1252-1262.
Elsevier DOI 1306
Graph clustering; Mixed graph model; Dense subgraph mining; Cluster seed mining; Social graphs BibRef

Xu, D.[Dan], Cui, P.[Peng], Zhu, W.W.[Wen-Wu], Yang, S.Q.[Shi-Qiang],
Graph-Based Residence Location Inference for Social Media Users,
MultMedMag(21), No. 4, October 2014, pp. 76-83.
IEEE DOI 1502
forecasting theory BibRef

Niu, G.L.[Guo-Lin], Fan, X.G.[Xiao-Guang], Li, V.O.K., Long, Y.[Yi], Xu, K.[Kuang],
Multi-Source-Driven Asynchronous Diffusion Model for Video-Sharing in Online Social Networks,
MultMed(16), No. 7, November 2014, pp. 2025-2037.
IEEE DOI 1411
expectation-maximisation algorithm. Information spread in networks. BibRef

Qi, X.Q.[Xing-Qin], Tang, W.L.[Wen-Liang], Wu, Y.Z.[Ye-Zhou], Guo, G.D.[Guo-Dong], Fuller, E.[Eddie], Zhang, C.Q.[Cun-Quan],
Optimal local community detection in social networks based on density drop of subgraphs,
PRL(36), No. 1, 2014, pp. 46-53.
Elsevier DOI 1312
Hierarchical clustering BibRef

Bao, J.[Jie], Zheng, Y.[Yu], Wilkie, D.[David], Mokbel, M.[Mohamed],
Recommendations in location-based social networks: a survey,
GeoInfo(19), No. 3, July 2015, pp. 525-565.
WWW Link. 1505
BibRef

You, Q., Cao, L., Cong, Y., Zhang, X., Luo, J.,
A Multifaceted Approach to Social Multimedia-Based Prediction of Elections,
MultMed(17), No. 12, December 2015, pp. 2271-2280.
IEEE DOI 1512
Biological system modeling BibRef

Sang, J., Deng, Z., Lu, D., Xu, C.,
Cross-OSN User Modeling by Homogeneous Behavior Quantification and Local Social Regularization,
MultMed(17), No. 12, December 2015, pp. 2259-2270.
IEEE DOI 1512
Correlation BibRef

Kundu, S.[Suman], Pal, S.K.[Sankar K.],
Fuzzy-rough community in social networks,
PRL(67, Part 2), No. 1, 2015, pp. 145-152.
Elsevier DOI 1512
Social network BibRef

Huang, S., Zhang, J., Wang, L., Hua, X.S.,
Social Friend Recommendation Based on Multiple Network Correlation,
MultMed(18), No. 2, February 2016, pp. 287-299.
IEEE DOI 1601
Correlation BibRef

Li, L.[Lei], He, J.P.[Jian-Ping], Wang, M.[Meng], Wu, X.D.[Xin-Dong],
Trust Agent-Based Behavior Induction in Social Networks,
IEEE_Int_Sys(31), No. 1, January 2016, pp. 24-30.
IEEE DOI 1602
multi-agent systems BibRef

Lei, C., Liu, D., Li, W.,
Social Diffusion Analysis With Common-Interest Model for Image Annotation,
MultMed(18), No. 4, April 2016, pp. 687-701.
IEEE DOI 1604
Algorithm design and analysis BibRef

Xu, X., Wang, W., Liu, Y., Zhao, X., Xu, Z., Zhou, H.,
A Bibliographic Analysis and Collaboration Patterns of IEEE Transactions on Intelligent Transportation Systems Between 2000 and 2015,
ITS(17), No. 8, August 2016, pp. 2238-2247.
IEEE DOI 1608
Collaboration BibRef

Zhao, N.[Na], Zhang, H.[Hanwang], Wang, M.[Meng], Hong, R.[Richang], Chua, T.S.[Tat-Seng],
Learning content-social influential features for influence analysis,
MultInfoRetr(5), No. 3, September 2016, pp. 137-149.
Springer DOI 1608
Measure information propogation between users. BibRef

Wu, Y., Cao, N., Gotz, D., Tan, Y.P., Keim, D.A.,
A Survey on Visual Analytics of Social Media Data,
MultMed(18), No. 11, November 2016, pp. 2135-2148.
IEEE DOI 1609
data analysis BibRef

Zhao, X.H.[Xiao-Hui], Liu, F.[Fang'ai], Wang, J.[Jinlong], Li, T.[Tianlai],
Evaluating Influential Nodes in Social Networks by Local Centrality with a Coefficient,
IJGI(6), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

Toader, B.[Bogdan], Sprumont, F.[François], Faye, S.[Sébastien], Popescu, M.[Mioara], Viti, F.[Francesco],
Usage of Smartphone Data to Derive an Indicator for Collaborative Mobility between Individuals,
IJGI(6), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Lu, D., Sang, J., Chen, Z., Xu, M., Mei, T.,
Who Are Your 'Real' Friends: Analyzing and Distinguishing Between Offline and Online Friendships From Social Multimedia Data,
MultMed(19), No. 6, June 2017, pp. 1299-1313.
IEEE DOI 1705
Context, Data analysis, Electronic mail, Internet, Marine vehicles, Multimedia communication, Social network services, Photo sharing behavior analysis, offline friendship identification, social, multimedia, mining BibRef

Huang, S., Zhang, J., Schonfeld, D., Wang, L., Hua, X.S.,
Two-Stage Friend Recommendation Based on Network Alignment and Series Expansion of Probabilistic Topic Model,
MultMed(19), No. 6, June 2017, pp. 1314-1326.
IEEE DOI 1705
Bayes methods, Computational modeling, Cost function, Flickr, Random variables, Twitter, Friend recommendation, series expansion, topic, model BibRef

Abdelmoty, A.I.[Alia I.], Alrayes, F.[Fatma],
Towards Understanding Location Privacy Awareness on Geo-Social Networks,
IJGI(6), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Weichselbraun, A., Gindl, S., Fischer, F., Vakulenko, S., Scharl, A.,
Aspect-Based Extraction and Analysis of Affective Knowledge from Social Media Streams,
IEEE_Int_Sys(32), No. 3, May 2017, pp. 80-88.
IEEE DOI 1706
Automobiles, Companies, Data mining, Knowledge acquisition, Media, Sentiment analysis, Social network services, affective knowledge extraction, artificial intelligence, aspect-based sentiment analysis, linked data, opinion targets, social, media BibRef

Yang, B.[Bo], Pei, H.B.[Hong-Bin], Chen, H.C.[He-Chang], Liu, J.M.[Ji-Ming], Xia, S.[Shang],
Characterizing and Discovering Spatiotemporal Social Contact Patterns for Healthcare,
PAMI(39), No. 8, August 2017, pp. 1532-1546.
IEEE DOI 1707
Data models, Deconvolution, Diseases, Sociology, Spatiotemporal phenomena, Statistics, Tensile stress, Healthcare, epidemic modeling, heterogeneous data mining, spatiotemporal social contact, tensor deconvolution BibRef

Huang, F., Li, X., Zhang, S., Zhang, J., Chen, J., Zhai, Z.,
Overlapping Community Detection for Multimedia Social Networks,
MultMed(19), No. 8, August 2017, pp. 1881-1893.
IEEE DOI 1708
Clustering algorithms, Multimedia communication, Optimization, Particle swarm optimization, Streaming media, YouTube, Ensemble learning, line graph, overlapping-communities detection, particle swarm optimization (PSO), social, network BibRef

Rzeszewski, M.[Michal], Beluch, L.[Lukasz],
Spatial Characteristics of Twitter Users: Toward the Understanding of Geosocial Media Production,
IJGI(6), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Tariq, A.[Amara], Karim, A., Foroosh, H.[Hassan],
NELasso: Group-Sparse Modeling for Characterizing Relations Among Named Entities in News Articles,
PAMI(39), No. 10, October 2017, pp. 2000-2014.
IEEE DOI 1709
Context, Electronic publishing, Encyclopedias, Internet, Semantics, Vocabulary, LASSO, Sparse group learning, named entities, news understanding, semantic network construction BibRef

Su, Z., Xu, Q., Hou, F., Yang, Q., Qi, Q.,
Edge Caching for Layered Video Contents in Mobile Social Networks,
MultMed(19), No. 10, October 2017, pp. 2210-2221.
IEEE DOI 1709
Analytical models, Games, Mobile communication, Mobile computing, Relays, Servers, Social groups, Caching, edge computing, future networks, mobile, video, delivery BibRef

Amerini, I.[Irene], Caldelli, R.[Roberto], Del Mastio, A.[Andrea], Di Fuccia, A.[Andrea], Molinari, C.[Cristiano], Rizzo, A.P.[Anna Paola],
Dealing with video source identification in social networks,
SP:IC(57), No. 1, 2017, pp. 1-7.
Elsevier DOI 1709
Video source identification. BibRef

Cao, J., Wang, S., Wang, H.,
Detecting Communities on Topic of Transportation With Sparse Crowd Annotations,
ITS(18), No. 4, April 2017, pp. 1017-1022.
IEEE DOI 1704
Accidents BibRef

Wu, D., Zhou, L., Cai, Y.,
Social-Aware Rate Based Content Sharing Mode Selection for D2D Content Sharing Scenarios,
MultMed(19), No. 11, November 2017, pp. 2571-2582.
IEEE DOI 1710
Approximation algorithms, Complexity theory, Computational modeling, Device-to-device communication, BibRef


Yang, L., Papalexakis, E.E.,
Exploration of Social and Web Image Search Results Using Tensor Decomposition,
Tensor17(1915-1920)
IEEE DOI 1709
Bridges, Google, Search engines, Twitter, Voting, Web search BibRef

Li, H.B.[Hong-Bo], Zhang, J.P.[Jian-Pei], Yang, J.[Jing], Bai, J.[Jinbo], Zhao, Y.M.[Yu-Ming],
Efficient star nodes discovery algorithm in social networks based on acquaintance immunization,
ICIVC17(937-940)
IEEE DOI 1708
Dolphins, acquaintance immunization, algorithm, social network, star, nodes, discovery BibRef

Rossi, L.[Luca], Torsello, A.[Andrea],
Measuring Vertex Centrality Using the Holevo Quantity,
GbRPR17(154-164).
Springer DOI 1706
more systems than social. BibRef

Onishi, M., Nakashima, S.,
Mutual interaction model between the number of people in real space and the number of tweets in virtual space,
ICPR16(2073-2078)
IEEE DOI 1705
Cameras, Correlation, Error analysis, Facebook, Time measurement, Twitter BibRef

Di Capua, M., Di Nardo, E., Petrosino, A.,
Unsupervised cyber bullying detection in social networks,
ICPR16(432-437)
IEEE DOI 1705
Feature extraction, Semantics, Sentiment analysis, Support vector machines, Syntactics, Twitter, clustering, cyber bullying, self-organizing map, sentiment analysis, social networks, unsupervised, learning BibRef

Valverde-Rebaza, J., Roche, M., Poncelet, P., de Andrade Lopes, A.,
Exploiting social and mobility patterns for friendship prediction in location-based social networks,
ICPR16(2526-2531)
IEEE DOI 1705
Context, Entropy, Mobile radio mobility management, Prediction methods, Proposals, Social groups, Social network services, Friendship prediction, Link prediction, Location-based social networks, Mobility patterns, User, behavior BibRef

James, S., Collomosse, J.,
Evolutionary data purification for social media classification,
ICPR16(2676-2681)
IEEE DOI 1705
Genetic algorithms, Semantics, Social network services, Support vector machines, Training, Training data, Visualization BibRef

Wang, Y.[Yue], Bai, L.[Lu],
Link prediction via Supervised Dynamic Network Formation,
ICPR16(4160-4165)
IEEE DOI 1705
Analytical models, Games, Generators, Predictive models, Social network services, Stochastic, processes BibRef

Campuzano-Alvarez, M.[Mirlayne], Fonseca-Bruzón, A.[Adrian],
Distributed and Parallel Algorithm for Computing Betweenness Centrality,
CIARP16(184-191).
Springer DOI 1703
BibRef

Takehara, D., Harakawa, R., Ogawa, T., Haseyama, M.,
Hierarchical content group detection from different social media platforms using Web link structure,
ICIP16(479-483)
IEEE DOI 1610
Electronic publishing BibRef

Hudson, M.[Matthew], Cairns, P.[Paul], Nordin, A.I.[A. Imran],
Familiarity in Team-Based Online Games: The Interplay Between Player Familiarity and the Concepts of Social Presence, Team Trust, and Performance,
IVIC15(140-151).
Springer DOI 1511
BibRef

El Marrakchi, M., Bellafkih, M., Bensaid, H.,
Towards reputation measurement in online social networks,
ISCV15(1-8)
IEEE DOI 1506
marketing data processing BibRef

Nohuddin, P.N.E.[Puteri N. E.], Coenen, F.[Frans], Christley, R.[Rob], Sunayama, W.[Wataru],
Visualisation of Trend Pattern Migrations in Social Networks,
IVIC15(77-88).
Springer DOI 1511
BibRef

Tran, J.[Jesse], Nguyen, Q.V.[Quang Vinh], Simoff, S.[Simeon],
IntelliViz: A Tool for Visualizing Social Networks with Hashtags,
ISVC14(II: 894-903).
Springer DOI 1501
BibRef

Zhang, F.[Fengli], Li, J.[Jun], Li, F.[Feng], Xu, M.[Min], Xu, R.[Richard], He, X.J.[Xiang-Jian],
Community Detection Based on Links and Node Features in Social Networks,
MMMod15(I: 418-429).
Springer DOI 1501
BibRef

Gao, Y.[Yue], Zhao, S.C.[Si-Cheng], Yang, Y.[Yang], Chua, T.S.[Tat-Seng],
Multimedia Social Event Detection in Microblog,
MMMod15(I: 269-281).
Springer DOI 1501
BibRef

Niu, T.[Teng], Zhu, S.[Shiai], Pang, L.[Lei], El Saddik, A.[Abdulmotaleb],
Sentiment Analysis on Multi-View Social Data,
MMMod16(II: 15-27).
Springer DOI 1601
BibRef

Oh, S.M.[Sang-Min], Pandey, M.[Megha], Kim, I.[Ilseo], Hoogs, A.[Anthony], Baumes, J.[Jeff],
Personalized Economy of Images in Social Forums: An Analysis on Supply, Consumption, and Saliency,
ICPR14(2011-2016)
IEEE DOI 1412
Communities. How people share and comment. BibRef

Narayanam, R.[Ramasuri], Narahari, Y.,
A game theory inspired, decentralized, local information based algorithm for community detection in social graphs,
ICPR12(1072-1075).
WWW Link. 1302
BibRef

Liang, Z.[Zheng], Xu, B.Y.[Bin-Ying], Jia, Y.[Yan], Zhou, B.[Bin],
Online Link Strength Trend Model Based on Content and Topology,
ISIDF11(1-5).
IEEE DOI 1111
Social networks. BibRef

Gupta, N.[Nithi], Dey, L.[Lipika],
Detection and Characterization of Anomalous Entities in Social Communication Networks,
ICPR10(738-741).
IEEE DOI 1008
BibRef

Wetzker, R., Plumbaum, T., Korth, A., Bauckhage, C., Alpcan, T., Metze, F.,
Detecting trends in social bookmarking systems using a probabilistic generative model and smoothing,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Cao, Y.W.[Yi-Wei], Klamma, R.[Ralf], Spaniol, M.[Marc], Leng, Y.[Yan],
A Toolkit to Support Dynamic Social Network Visualization,
Visual07(512-523).
Springer DOI 0706
BibRef

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Matching Graphs and 3-D Network Descriptions .


Last update:Nov 11, 2017 at 13:31:57