Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
27834 | 220 | 32.7 | 49% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
9 | 4 | COMPUTER SCIENCE, THEORY & METHODS//COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//COMPUTER SCIENCE, INFORMATION SYSTEMS | 1247339 |
445 | 3 | COMPLEX NETWORKS//PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS//ECONOPHYSICS | 26356 |
504 | 2 | COMPLEX NETWORKS//COMMUNITY DETECTION//SCALE FREE NETWORKS | 15321 |
27834 | 1 | BITCOIN//GOOGLE TRENDS//IND INFORMAT ANAL | 220 |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | BITCOIN | authKW | 918494 | 7% | 44% | 15 |
2 | GOOGLE TRENDS | authKW | 691825 | 8% | 28% | 18 |
3 | IND INFORMAT ANAL | address | 555185 | 3% | 67% | 6 |
4 | SEARCH TRAFFIC | authKW | 444149 | 2% | 80% | 4 |
5 | EUROPEAN MEDITERRANEAN SEISMOL | address | 416392 | 1% | 100% | 3 |
6 | GOOGLE SEARCH DATA | authKW | 416392 | 1% | 100% | 3 |
7 | CCSCA | address | 277594 | 1% | 100% | 2 |
8 | GROWTH CYCLES | address | 277594 | 1% | 100% | 2 |
9 | NAVER TREND | authKW | 277594 | 1% | 100% | 2 |
10 | USERS HYPE CYCLE | authKW | 277594 | 1% | 100% | 2 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Economics | 1184 | 25% | 0% | 56 |
2 | Business, Finance | 876 | 10% | 0% | 21 |
3 | Business | 618 | 10% | 0% | 22 |
4 | Biodiversity Conservation | 301 | 6% | 0% | 13 |
5 | Computer Science, Information Systems | 192 | 8% | 0% | 18 |
6 | Information Science & Library Science | 165 | 5% | 0% | 10 |
7 | Geochemistry & Geophysics | 144 | 8% | 0% | 17 |
8 | Social Sciences, Mathematical Methods | 133 | 3% | 0% | 7 |
9 | Physics, Multidisciplinary | 111 | 12% | 0% | 26 |
10 | Planning & Development | 111 | 3% | 0% | 7 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | IND INFORMAT ANAL | 555185 | 3% | 67% | 6 |
2 | EUROPEAN MEDITERRANEAN SEISMOL | 416392 | 1% | 100% | 3 |
3 | CCSCA | 277594 | 1% | 100% | 2 |
4 | GROWTH CYCLES | 277594 | 1% | 100% | 2 |
5 | MACRO CONNECT | 185062 | 1% | 67% | 2 |
6 | CHINA SOCIAL COMP ANALYT | 185054 | 3% | 22% | 6 |
7 | BING SEARCH | 138797 | 0% | 100% | 1 |
8 | CHAIR SOCIOL PARTICULAR MODELING SIMULAT SOMS | 138797 | 0% | 100% | 1 |
9 | DCQE | 138797 | 0% | 100% | 1 |
10 | EQU PROD STRATEGY | 138797 | 0% | 100% | 1 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | EPJ DATA SCIENCE | 13283 | 1% | 3% | 3 |
2 | INTERNET RESEARCH | 10613 | 3% | 1% | 7 |
3 | ANNALS OF GEOPHYSICS | 9478 | 4% | 1% | 9 |
4 | ROYAL SOCIETY OPEN SCIENCE | 4556 | 2% | 1% | 5 |
5 | FINANCE RESEARCH LETTERS | 4407 | 2% | 1% | 4 |
6 | SEISMOLOGICAL RESEARCH LETTERS | 3858 | 2% | 1% | 5 |
7 | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE | 2377 | 3% | 0% | 7 |
8 | FISHERIES | 2303 | 2% | 0% | 4 |
9 | JOURNAL OF VOLCANOLOGY AND SEISMOLOGY | 1891 | 1% | 1% | 2 |
10 | BIODIVERSITY AND CONSERVATION | 1764 | 3% | 0% | 7 |
Author Key Words |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
LCSH search | Wikipedia search |
---|---|---|---|---|---|---|---|
1 | BITCOIN | 918494 | 7% | 44% | 15 | Search BITCOIN | Search BITCOIN |
2 | GOOGLE TRENDS | 691825 | 8% | 28% | 18 | Search GOOGLE+TRENDS | Search GOOGLE+TRENDS |
3 | SEARCH TRAFFIC | 444149 | 2% | 80% | 4 | Search SEARCH+TRAFFIC | Search SEARCH+TRAFFIC |
4 | GOOGLE SEARCH DATA | 416392 | 1% | 100% | 3 | Search GOOGLE+SEARCH+DATA | Search GOOGLE+SEARCH+DATA |
5 | NAVER TREND | 277594 | 1% | 100% | 2 | Search NAVER+TREND | Search NAVER+TREND |
6 | USERS HYPE CYCLE | 277594 | 1% | 100% | 2 | Search USERS+HYPE+CYCLE | Search USERS+HYPE+CYCLE |
7 | WEB SEARCH TRAFFIC | 277594 | 1% | 100% | 2 | Search WEB+SEARCH+TRAFFIC | Search WEB+SEARCH+TRAFFIC |
8 | CRYPTOCURRENCY | 277590 | 2% | 50% | 4 | Search CRYPTOCURRENCY | Search CRYPTOCURRENCY |
9 | COMPUTATIONAL SOCIAL SCIENCE | 233238 | 5% | 15% | 11 | Search COMPUTATIONAL+SOCIAL+SCIENCE | Search COMPUTATIONAL+SOCIAL+SCIENCE |
10 | HYPE CYCLE MODEL | 185062 | 1% | 67% | 2 | Search HYPE+CYCLE+MODEL | Search HYPE+CYCLE+MODEL |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | LETCHFORD, A , PREIS, T , MOAT, HS , (2016) QUANTIFYING THE SEARCH BEHAVIOUR OF DIFFERENT DEMOGRAPHICS USING GOOGLE CORRELATE.PLOS ONE. VOL. 11. ISSUE 2. P. - | 20 | 48% | 0 |
2 | ALANYALI, M , PREIS, T , MOAT, HS , (2016) TRACKING PROTESTS USING GEOTAGGED FLICKR PHOTOGRAPHS.PLOS ONE. VOL. 11. ISSUE 3. P. - | 14 | 61% | 1 |
3 | PREIS, T , MOAT, HS , (2014) ADAPTIVE NOWCASTING OF INFLUENZA OUTBREAKS USING GOOGLE SEARCHES.ROYAL SOCIETY OPEN SCIENCE. VOL. 1. ISSUE 2. P. - | 13 | 59% | 9 |
4 | RANCO, G , BORDINO, I , BORMETTI, G , CALDARELLI, G , LILLO, F , TRECCANI, M , (2016) COUPLING NEWS SENTIMENT WITH WEB BROWSING DATA IMPROVES PREDICTION OF INTRA-DAY PRICE DYNAMICS.PLOS ONE. VOL. 11. ISSUE 1. P. - | 15 | 48% | 1 |
5 | KRISTOUFEK, L , MOAT, HS , PREIS, T , (2016) ESTIMATING SUICIDE OCCURRENCE STATISTICS USING GOOGLE TRENDS.EPJ DATA SCIENCE. VOL. 5. ISSUE . P. - | 20 | 38% | 0 |
6 | BOTTA, F , MOAT, HS , PREIS, T , (2015) QUANTIFYING CROWD SIZE WITH MOBILE PHONE AND TWITTER DATA.ROYAL SOCIETY OPEN SCIENCE. VOL. 2. ISSUE 5. P. - | 11 | 58% | 4 |
7 | VICENTE, MR , LOPEZ-MENENDEZ, AJ , PEREZ, R , (2015) FORECASTING UNEMPLOYMENT WITH INTERNET SEARCH DATA: DOES IT HELP TO IMPROVE PREDICTIONS WHEN JOB DESTRUCTION IS SKYROCKETING?.TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE. VOL. 92. ISSUE . P. 132 -139 | 10 | 63% | 3 |
8 | HEIBERGER, RH , (2015) COLLECTIVE ATTENTION AND STOCK PRICES: EVIDENCE FROM GOOGLE TRENDS DATA ON STANDARD AND POOR'S 100.PLOS ONE. VOL. 10. ISSUE 8. P. - | 14 | 45% | 2 |
9 | MAVRAGANI, A , TSAGARAKIS, KP , (2016) YES OR NO: PREDICTING THE 2015 GREFERENDUM RESULTS USING GOOGLE TRENDS.TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE. VOL. 109. ISSUE . P. 1 -5 | 11 | 58% | 0 |
10 | PAVLICEK, J , KRISTOUFEK, L , (2015) NOWCASTING UNEMPLOYMENT RATES WITH GOOGLE SEARCHES: EVIDENCE FROM THE VISEGRAD GROUP COUNTRIES.PLOS ONE. VOL. 10. ISSUE 5. P. - | 11 | 55% | 2 |
Classes with closest relation at Level 1 |