Paper |
Related Paper |
Student Andrew ID |
Link to Comparison
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Yang_et_al_Modeling_Information_Diffusion_in_Implicit_Networks |
Inferring the Diffusion and Evolution of Topics in Social Communities [1] |
Bliu1 |
Compare_Yang_et_al_Modeling_Information_Diffusion_in_Implicit_Networks_and_Inferring_the_Diffusion_and_Evolution_of_Topics_in_Social_Communities
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Zheleva_ACM_2009 |
Geographic routing in social networks [2] |
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Y._Borghol_et_al._Performance_Evaluation_68_2011 |
The Untold Story of the Clones: Content-agnostic Factors that Impact YouTube Video Popularity [3] |
tinghuiz |
Compare Y. Borghol et al. 2011 and The Untold Story of the Clones: Content-agnostic Factors that Impact YouTube Video Popularity
|
Zheleva_and_Getoor,_WWW2009 |
Preserving the privacy of sensitive relationships in graph data. PinKDD, 2007 [4] |
zsheikh |
Zheleva_and_Getoor,_WWW2009,_PinKDD2007_paper_comparison
|
Vladimir_Ouzienko,_Prediction_of_Attributes_and_Links_in_Temporal_Social_Networks |
Introduction to stochastic actor-based models for network dynamics [5] |
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Miller_et_al_ICWSM_2011 |
Can predicate-argument structures be used for contextual opinion retrieval from blogs? [6] |
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Ritter_et_al,_EMNLP_2011._Named_Entity_Recognition_in_Tweets:_An_Experimental_Study |
Event discovery in social media feeds [7] |
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Ritter_et_al_NAACL_2010._Unsupervised_Modeling_of_Twitter_Conversations |
Catching the drift: Probabilistic content models, with applications to generation and summarization [8] |
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Modeling_Contagion_Through_Facebook_News_Feed |
Cascading Behavior in Large Blog Graphs [9] |
thoang |
Compare Modeling_Contagion_Through_Facebook_News_Feed and Cascading Behavior in Large Blog Graphs
|
Yeh_et_al_WikiWalk_Random_walks_on_Wikipedia_for_Semantic_Relatedness |
Personalizing PageRank for Word Sense Disambiguation [10] |
nnori |
|
Yano_et_al_NAACL_2009 |
Link-PLSA-LDA: A new unsupervised model for topics and influence of blogs [11] |
kwmurray |
|
Ramage_et_al_ICWSM_2010 |
Is it Really About Me? Message Content in Social Awareness Streams [12] |
yuchenz |
Compare_Ramage_Naaman
|
Rodriguez_et_al_Oct_2011 |
The origin of bursts and heavy tails in human dynamics [13] |
dzheng |
|
Measuring_User_Influence_in_Twitter:_The_Million_Follower_Fallacy |
Influentials, Networks, and Public Opinion Formation [14] |
Lujiang |
Compare_Measuring_User_Influence_in_Twitter_and_Influentials,_Networks,_and_Public_Opinion_Formation
|
OConnor_et._al.,_ICWSM_2010 |
Widespread Worry and the Stock Market [15] |
Gmontane |
Comparison: O'Connor et al. ICWSM 2010 & Widespread Worry and Stock Market
|
Link_propagation:_A_fast_semi-supervised_learning_algorithm_for_link_prediction |
Fast and scalable algorithms for semi-supervised link prediction on static and dynamic graphs [16] |
epapalex |
Compare Link Propagation Papers
|
Mrinmaya_et._al._WWW'12 |
The Author-Recipient-Topic Model for Topic and Role Discovery in Social Networks: Experiments with Enron and Academic Email [17] |
Norii |
Comparison_Mrinmaya_et._al._WWW2012_and_McCallum_et_al_2004
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Yano_et_al_ICWSM_2010._What’s_Worthy_of_Comment?_Content_and_Comment_Volume_in_Political_Blogs |
Mixed membership models of scientific publication [18] |
ymiao |
|
Rosen-Zvi_et_al,_The_Author-Topic_Model_for_Authors_and_Documents |
The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity [19] |
rgkulkar |
http://malt.ml.cmu.edu/mw/index.php/Comparison_Rosen-Zvi_el_al_and_cohn_et_al
|
Reviewing_social_media_use_by_clinicians |
Integrating the hospital library with patient care, teaching and research: model and Web 2.0 tools to create a social and collaborative community of clinical research in a hospital setting. [20] |
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Agarwal_et_al,_ICWSM_2009#Related_Works_and_Papers |
Latent Friend Mining from Blog Data, ICDM 2006 [21] |
zeyuz |
Compare_latentfriend_familiarstranger
|
Hassan_et_al,_ICWSM_2009 |
Document representation and query expansion models for blog recommendation [22] |
sushantk |
Compare Hassan et al, ICWSM 2009 and Document representation and query expansion models for blog recommendation
|
E.A._Leicht,_Structure_of_Time_Evo_citation_networks_2007 |
Detecting Topic Evolution in Scientific Literature: How Can Citations Help? [23] |
ziy |
|
Birke&Sarkar,FigLanguages07 |
A Clustering Approach for the Nearly Unsupervised Recognition of Nonliteral Language, EACL-2006 [24] |
tinghaoh |
|
A_Discriminative_Latent_Variable_Model_for_SMT |
An End-to-End Discriminative Approach to Machine Translation [25] |
lingwang |
Comparative Study of Discriminative Models in SMT
|
Davidov_et_al_COLING_10 |
Structured Models for Fine-to-Coarse Sentiment Analysis [26] |
ydalal |
Comparative Study : Sentiment Analysis using Automated pattern based appraoch VS Single structured model
|
Anderson_et_al_KDD2012 |
Predicting web searcher satisfaction with existing community-based answers [27] |
anikag |
|
Leskovec_et_al.,_WWW_2010 |
Statistical properties of community structure in large social and information networks. In WWW ’08 [28] |
zhua |
Compare Leskovec et al. WWW 10 and Leskovec et al. WWW 08
|
Accurate_Unlexicalized_Parsing |
Learning Accurate, Compact, and Interpretable Tree Annotation, S. Petrov, L. Barrett, R. Thibaux, D. Klein, ACL 2006 [29] |
|
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Esuli_and_Sebastiani_LREC_2006 |
Determining term subjectivity and term orientation for opinion mining. [30] |
ytsvetko |
Compare Esuli and Sebastiani LREC 2006 vs. Esuli and Sebastiani EACL 2006
|
Gilbert_et_al.,_ICWSM_2010 |
A Sentiment Detection Engine for Internet Stock Message Boards [31] |
nloghman |
Comparison: Widespread Worry and the Stock Market versus Sentiment Detection Engine for Internet Stock Message Boards
|
Akcora_et_al,_SOMA_2010 |
L. Ku, Y. Liang, and H. Chen. Opinion extraction, summarization and tracking in news and blog corpora. In Proceedings of AAAI-2006 [32] |
zhouyu |
Compare_Ku_Akcora#Two_Papers
|
Chambers_and_Jurafsky,_Unsupervised_Learning_of_Narrative_Event_Chains,_ACL_2008 |
Chklovski and Pantel (2004) Verbocean:Mining the web for fine-grained semantic verb relations [33] |
mmahavee |
|
BinLu_et_al._ACL2011 |
Learning Multilingual Subjective Language via Cross-Lingual Projections [34] |
lingpenk |
Compare_BinLu_Rada_Two_Papers
|
Domain-Assisted_Product_Aspect_Hierarchy_Generation:_Towards_Hierarchical_Organization_of_Unstructured_Consumer_Reviews |
Learning object models from semistructured Web documents [35] |
|
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A_Latent_Variable_Model_for_Geographic_Lexical_Variation |
Q. Mei, C. Liu, H. Su, and C. X Zhai. 2006. A probabilistic approach to spatiotemporal theme pattern mining on weblogs. In Proceedings of WWW [36] |
lanzhzh |
|
Collier_et_al._Journal_of_Biomedical_Semantics_2011 |
Modeling Spread of Disease from Social Interaction [37] |
rajarshd |
|
Capturing_Global_Mood_Levels_using_Blog_Posts |
Modeling Public Mood and Emotion: Twitter Sentiment and Socio-Economic Phenomena [38] |
yubink |
|
Andreevskaia_et_al.,_ICWSM_2007 |
M. Hurst and K. Nigam. Retrieving topical sentiments from online document collection. [39] |
srawat |
|
Das_Sarma_et._al.,_Dynamic_Relationship_and_Event_Discovery,_WSDM_2011 |
Q. Zhao, P. Mitra, and B. Chen. Temporal and information flow based event detection from social text streams. In AAAI, 2007 [40] |
ysim |
Paper comparison
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