OSoMe: the IUNI observatory on social media

被引：28

作者：

Davis, Clayton A. ^{[1
,2
]}

Ciampaglia, Giovanni Luca ^{[1
,3
]}

Aiello, Luca Maria ^{[4
]}

Chung, Keychul ^{[2
]}

Conover, Michael D. ^{[5
]}

Ferrara, Emilio ^{[6
]}

Flammini, Alessandro ^{[1
,2
,3
]}

Fox, Geoffrey C. ^{[2
]}

Gao, Xiaoming ^{[7
]}

Goncalves, Bruno ^{[8
]}

Grabowicz, Przemyslaw A. ^{[9
]}

Hong, Kibeom ^{[2
]}

Hui, Pik-Mai ^{[1
,2
]}

McCaulay, Scott ^{[3
]}

McKelvey, Karissa ^{[10
]}

Meiss, Mark R. ^{[11
]}

Patil, Snehal ^{[12
]}

Kankanamalage, Chathuri Peli ^{[3
]}

Pentchev, Valentin ^{[3
]}

Qiu, Judy ^{[2
]}

Ratkiewicz, Jacob ^{[11
]}

Rudnick, Alex ^{[11
]}

Serrette, Benjamin ^{[3
]}

Shiralkar, Prashant ^{[1
,2
]}

Varol, Onur ^{[1
,2
]}

Weng, Lilian ^{[13
]}

Wu, Tak-Lon ^{[14
]}

Young, Andrew J. ^{[2
]}

Menczer, Filippo ^{[1
,2
,3
]}

机构：

[1] Indiana Univ, Ctr Complex Networks & Syst Res, Bloomington, IN 47405 USA

[2] Indiana Univ, Sch Informat & Comp, Bloomington, IN USA

[3] Indiana Univ, Network Sci Inst, Bloomington, IN 47405 USA

[4] Bell Labs, London, England

[5] LinkedIn Inc, Mountain View, CA USA

[6] Univ Southern Calif, Informat Sci Inst, Marina Del Rey, CA USA

[7] Facebook Inc, Boston, MA USA

[8] NYU, Ctr Data Sci, New York, NY USA

[9] Max Planck Inst Software Syst, Saarbrucken, Germany

[10] US Open Data, Oakland, CA USA

[11] Google Inc, Mountain View, CA USA

[12] Yahoo Inc, Sunnyvale, CA USA

[13] Affirm Inc, San Francisco, CA USA

[14] Amazon Inc, Seattle, WA USA

来源：

PEERJ COMPUTER SCIENCE | 2016年 / 2016卷 / 10期

基金：

瑞士国家科学基金会; 美国国家科学基金会;

关键词：

Social media; Observatory; Twitter; Web science; Network science; Meme diffusion; Computational social science; Big data; API; OSoMe;

D O I：

10.7717/peerj-cs.87

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The study of social phenomena is becoming increasingly reliant on big data from online social networks. Broad access to social media data, however, requires software development skills that not all researchers possess. Here we present the IUNI Observatory on Social Media, an open analytics platform designed to facilitate computational social science. The system leverages a historical, ongoing collection of over 70 billion public messages from Twitter. We illustrate a number of interactive open-source tools to retrieve, visualize, and analyze derived data from this collection. The Observatory, now available at osome.iuni.iu.edu, is the result of a large, six-year collaborative effort coordinated by the Indiana University Network Science Institute.

引用

页数：21

共 74 条

[1] Estimating the reproducibility of psychological science [J].

Aarts, Alexander A. ;

Anderson, Joanna E. ;

Anderson, Christopher J. ;

Attridge, Peter R. ;

Attwood, Angela ;

Axt, Jordan ;

Babel, Molly ;

Bahnik, Stepan ;

Baranski, Erica ;

Barnett-Cowan, Michael ;

Bartmess, Elizabeth ;

Beer, Jennifer ;

Bell, Raoul ;

Bentley, Heather ;

Beyan, Leah ;

Binion, Grace ;

Borsboom, Denny ;

Bosch, Annick ;

Bosco, Frank A. ;

Bowman, Sara D. ;

Brandt, Mark J. ;

Braswell, Erin ;

Brohmer, Hilmar ;

Brown, Benjamin T. ;

Brown, Kristina ;

Bruening, Jovita ;

Calhoun-Sauls, Ann ;

Callahan, Shannon P. ;

Chagnon, Elizabeth ;

Chandler, Jesse ;

Chartier, Christopher R. ;

Cheung, Felix ;

Christopherson, Cody D. ;

Cillessen, Linda ;

Clay, Russ ;

Cleary, Hayley ;

Cloud, Mark D. ;

Cohn, Michael ;

Cohoon, Johanna ;

Columbus, Simon ;

Cordes, Andreas ;

Costantini, Giulio ;

Alvarez, Leslie D. Cramblet ;

Cremata, Ed ;

Crusius, Jan ;

DeCoster, Jamie ;

DeGaetano, Michelle A. ;

Della Penna, Nicolas ;

den Bezemer, Bobby ;

Deserno, Marie K. .

SCIENCE, 2015, 349 (6251)

[2]

Alvarez-Hamelin J. I., 2005, PROC INT C NEURAL IN, P41

[3]

Andalibi N., 2015, P 18 ACM C COMP COMP, V2015, P231, DOI [10.1145/2685553.2699014, DOI 10.1145/2685553.2699014]

[4]

Antenucci D., 2014, USING SOCIAL MEDIA M

[5]

Backstrom L, 2012, PROCEEDINGS OF THE 3RD ANNUAL ACM WEB SCIENCE CONFERENCE, 2012, P33

[6]

Bakshy E., 2012, P 21 INT C WORLD WID, P519, DOI DOI 10.1145/2187836.2187907

[7] Twitter mood predicts the stock market [J].

Bollen, Johan ;

Mao, Huina ;

Zeng, Xiaojun .

JOURNAL OF COMPUTATIONAL SCIENCE, 2011, 2 (01) :1-8

[8]

Card S, 2009, HUM FACTORS ERGON, P181

[9] Predicting the Present with Google Trends [J].

Choi, Hyunyoung ;

Varian, Hal .

ECONOMIC RECORD, 2012, 88 :2-9

[10] The production of information in the attention economy [J].

Ciampaglia, Giovanni Luca ;

Flammini, Alessandro ;

Menczer, Filippo .

SCIENTIFIC REPORTS, 2015, 5

← 1 2 3 4 5 6 7 8 →