In previous presentations of conferences, most were aimed at only one conference, and there were few studies and comparisons between the two conferences. When a scholar is relatively familiar with a conference, and he wants to understand a similar conference, and wants to know whether the most of the scholars in this conference are also published papers in another conference, or want to know whether the conference is a reference of another conference. So, How can we know the information? CCF conference category provides information about the conference classification, However, Even two conferences under the same category, they may also be different because the scope of the collection of articles and research direction is not consistent, also do not have any contact between the author and paper. Therefore, we use the method of visualization to generate paper comparison map and author comparison map between two conferences under the same category in the CCF conference category, which can show the difference and connection between any two conferences.
(1) Conference Author's Comparison Map
In the author's comparison map, we selected the top 1,000 authors from each conference, and attach them with a red dot and a green dot. The yellow dots represent the authors that published papers in both conferences. If two authors have published a paper together in two conferences, the points would be linked by an edge. The more papers that have been published together, the greater the weight of the edge, the closer the two points.
Fig.1:SIGMOD & VLDB Author Comparison Map
Fig.2:SIGMOD & SIGIR Author Comparison Map
SIGMOD and VLDB are two type A conferences of the category of "Database/Data Mining/Content Search" in CCF conference category. The Fig.1 is SIGMOD&VLDB author comparison map. It is easy to figure from the map that yellow dots occupy the dominance, Which means most of top authors in both conferences also published papers in another conference. Additionally, The range and types of papers that SIGMOD and VLDB archived resembles and the authors between two conferences have firm contact.
SIGMOD and SIGIR are also two type A conferences of the category of "Database/Data Mining/Content Search" in CCF conference category. However, from the Fig.2, we could see that the red dots and great dots are separated conspicuously. Only few of the yellow dots in the boundary of two conferences. The reason of this phenomenon is that although SIGMOD and SIGIR are classified to the same category. The type of papers and range are different. SIGMOD conference inclines to Database while SIGIR inclines to Information Search.
Additionally, in the author comparison paper, you could use the size and color of dots to compare the influence of two conferences. In the 1,000 selected authors, if authors in a conference have more influence, their dots are decorated with red while others are decorated with green. The size of the dots means the total citations of the papers published by authors in two conferences.
For example, in Fig.3, INFOCOM & MOBICOM author comparison map, the red dots represent INFOCOM and the green dots represent MOBICOM. So we could draw the conclusion that the 1000 authors in INFOCOM have much more influence than the 1000 authors in MOBICOM. However, we could see that considering the size of the dots, green dots has more big size dots than red dots which means that some authors only published papers in MOBICOM have huge influence but INFOCOM did not have such authors.
Fig.3: INFOCOM & MOBICOM Author Comparison Map
(2) Conference Papers' Comparison Map
In conference papers' comparison map, we selected 500 papers from each conference which have high citations and use red and green dots to illustrated them. The size of the dots means the citation. Within the 500 papers, if a conference's total citations are larger than another one, it could be decorated with red. If a paper was cited by another paper in the map, the two papers would be linked by an edge.
Fig.4: MICRO & PLOS
Fig.5: POPL & SOSP
Fig.6: POPL & ASE
From the conference papers' comparison map, we could discover some phenomenons:
(1) Overlap Ornament: For example, in MICRO & ASPLOS conference papers' comparison map(Fig.4), the two conferences belong to "Computer Architecture/Parallel and Distributed Computation/Storage System" in CCF conference category. In this map, there is no obvious boundary between two different colored dots that they are firmly mixed which means that the papers between two conference have strong relationship. Also, it means that types and range of two conferences are similar. The total amount of red dots which represent MICRO are larger than ASPLOS (green dots). So it means the papers in MICRO have much more influence than papers in ASPLOS.
(2) One Dominance: POPL&SOSP papers' comparison map(Fig.5) belongs to "Software Engineering/System Software/Programming Language". The center of the map are dominated by red dots and red dots are larger than green dots. Little green dots are distributed in the outside circle. So it is easy to know that the POPL dominated and is more influential than SOSP.
(3) Hemispheric separation: POPL&ASE(Fig.6) belongs to "Software Engineering/System Software/Programming Language". The papers' comparison map has a boundary between two clusters, like the Hemisphere of earth. It shows that the citations between two conferences are not large, the contact between two conferences is not strong.